The challenge? Most agents simply don’t have that clarity.

Life on the Frontline

Picture the day of a call center agent:

• They log into multiple systems just to piece together a basic customer profile.
• A simple “where’s my order?” call turns into five minutes of searching across disconnected platforms.
• By the time they find the answer, the customer is frustrated, the agent is frazzled, and the company has just absorbed extra cost.

Now picture a sales rep:

• They’re handed a book of thousands of leads, but no guidance on who’s most likely to convert.
• They spend their day chasing whoever happens to answer the phone, instead of focusing on the customers who matter most.
• Valuable opportunities slip through the cracks, and leadership has no visibility until it’s too late.

These frontline realities create a cycle of reactivity. Agents feel overwhelmed, leaders rely on lagging reports, and customers feel the disconnect.

The Executive View

Executives see the same problem through a different lens.

• Every extra minute on a call drives up cost-to-serve.
• Every missed follow-up is lost revenue potential.
• Every week waiting on BI reports is a week of opportunity gone.

The common thread is fragmentation. Investments have been made — in CRMs, dialers, marketing tools, and data lakes — but the people on the frontlines still don’t have what they need in the moment. The organization ends up with the worst of both worlds: expensive technology and inefficient outcomes.

It’s no wonder many leaders describe their teams as “flying blind.”

What Needs to Change

The answer isn’t another dashboard or one more platform. It’s about making the systems you already have smarter and embedding intelligence directly where work happens.

That means shifting from firefighting to foresight by giving agents:

1. Identity Clarity

• The ability to recognize the same customer across every channel and system.
• No more duplicates, mismatched profiles, or wasted time confirming who’s on the line.

2. Real-Time Context

• Surfacing relevant history — from past calls to purchase behavior — directly in the agent’s workflow.
• Instead of asking customers to repeat themselves, the agent already knows what to say and how to move forward.

3. Proactive Prioritization

• Guidance on who to contact first or which issue to solve next, based on business impact.
• This transforms “random dialing” into targeted engagement that builds loyalty and drives results.

4. On-the-Fly Decisioning

• Empowering supervisors and executives to ask questions in natural language and get answers instantly.
• No more waiting weeks for BI teams to compile reports. Leaders can spot issues in real time and redirect resources the same day.

A Better Way of Working

When these capabilities are in place, the results are dramatic:

• Agents spend less time searching and more time engaging.
• Handle times shrink while first-contact resolution improves.
• Sales teams know exactly which opportunities to prioritize.
• Leaders stop “post-mortem reporting” and start steering the business proactively.

Most importantly, customers feel the difference. Every interaction becomes faster, more relevant, and more human. Instead of repeating themselves, they’re met with a rep who already understands their needs and can act with confidence.

This isn’t just better service, it’s a better way of working.

Three Takeaways for Leaders

If you’re evaluating how to prepare your frontline teams for the future, start here:

1. Audit Your Data Gaps
   Ask your teams how often they’re searching for information instead of helping customers. Look for duplicate profiles, missing fields, or fragmented records. These gaps aren’t just an annoyance; they translate directly into higher costs and lower satisfaction.
2. Bring Answers Into the Workflow
   Dashboards are useful for managers, but agents need clarity in the systems they already use. Embedding insights directly into Salesforce, ServiceNow, or your dialer means adoption is seamless and productivity gains are immediate.
3. Think in Real Time, Not Reports
   Your executives shouldn’t have to wait weeks to understand why performance is slipping. Modern AI and data orchestration can surface issues — and their solutions — in the moment. Real-time foresight is what turns firefighting into strategy.

Why This Matters Now

AI is accelerating the pace of customer expectations. Competitors are already experimenting with new ways to put intelligence into the hands of their teams. The organizations that thrive won’t be the ones who simply invest in more systems; they’ll be the ones who connect what they already have and empower people to act faster.

A Smarter Path Forward

Within the Execs In The Know community, many leaders — including global brands like Princess Cruises — are already taking this step with harpin AI. Our role isn’t to add another platform, but to help organizations unlock more value from the systems they already use.

By connecting data and embedding intelligence where work happens, harpin AI helps CX teams:

• Reduce cost-to-serve by transforming fragmented information into trusted, real-time answers.
• Increase conversion and loyalty by guiding agents to the right action in the moment.
• Accelerate growth and efficiency by enabling leaders to see and steer performance the same day.

It’s a shift from firefighting to foresight, one that empowers people, elevates customer experiences, and positions organizations for long-term growth.

Guest blog post written by harpin AI.

The post Empowering Agents with Real-Time Answers appeared first on Execs In The Know.

So here’s the question: How will you lead your organization into 2026 and beyond?

That’s the conversation at the heart of Customer Response Summit (CRS) San Diego, hosted by Execs In The Know. What began as a small gathering of passionate leaders has grown into a thriving community, one where CX leaders from the world’s leading brands come together to ignite ideas, exchange hard-earned insights, challenge the status quo, and collaborate on the future of customer experience.

This year, we celebrate 15 years of elevating CX through honest conversations, lasting connections, and bold thinking. And while we’re proud of the journey so far, we’re even more energized about what’s ahead. Join us as we collectively shape the future of CX: grounded in curiosity, courage, and connection.

Come discover why attendees are saying that if they could “attend only one conference a year, it would always be CRS.”

A Summit Built for Leaders by Leaders

CRS is about stepping into a room where the future of CX is being written. Every keynote, panel, case study, and breakout session is built for practitioners, designed to cut through the noise and focus on the challenges and opportunities you’re facing right now.

You’ll connect with brands leading the way in customer experience. They’re the peers making bold moves in real time, and they’re ready to share what’s working (and what isn’t).

Featured Speakers

The Summit’s keynote lineup features executives pushing boundaries inside their organizations and industries. Their candid stories of transformation, missteps, and breakthroughs will challenge you to rethink what’s possible in your own strategy.

• Kimberly Dorsett, Executive Vice President, Head of Truist Care Centers, Truist
• Travis Brown, Senior Director, Campus Teams, CCV
• Maureen Barnett, Vice President, Global Fan Experience, Fanatics
• Dawn Spring, Senior Vice President, Global Member Support, Peloton

You’ll also hear from leaders at:

• Southwest Airlines
• Chegg
• ClassPass
• The Home Depot
• Tripadvisor
• TD Bank
• Nestlé Purina
• State Farm
• The Black Tux
• Microsoft
• …and many more!

View the Speaker Lineup

What to Expect: Strategies, Stories, and Space to Think Bigger

CRS San Diego is designed to help you answer the questions that keep CX leaders up at night:

• How do we deploy AI responsibly without eroding customer trust?
• What new skills will the workforce of the future require, and how do we retrain at speed?
• How do we responsibly use customer data while navigating rising privacy regulations?
• How do we strike the right balance between automation and humanity?
• Where should we double down, and what’s safe to let go?
• What’s the next big disruptor we’re not seeing yet?

What’s In It for You

• A practitioner-built agenda. Every session is grounded in real-world challenges, whether that’s scaling global care, sharpening KPIs that matter, or navigating workforce transformation in an AI-driven world.
• Strategies you can use immediately. Case studies, frameworks, and templates that translate directly into your playbook.
• Stories from the front lines. Honest perspectives from brands navigating the same roadblocks you’re facing.
• High-signal networking. Just candid dialogue with senior leaders who understand the stakes and are generous with their insights.
• Hands-on working time. Breakouts and workshops designed to pressure-test ideas, identify opportunities, and leave with next steps you can bring back to your team.

Why Leaders Keep Coming Back to CRS

• Clarity on your roadmap. Walk away knowing where to focus for 2026.
• Faster execution. Borrow proven playbooks to reduce time-to-value on your initiatives.
• Better alignment. Bring back actionable insights that help rally cross-functional teams.
• A trusted network. Build relationships you can tap long after the conference.

As John Caldwell, Senior Director of Team Member Service Centers, put it: “There is no better place to meet peers in the industry and partners that can help you overcome the big problems we all are facing.”

The CRS Difference

For 15 years, Execs In The Know has built a community defined by authenticity, generosity, and shared purpose. Here, leaders drop the pretense. They share setbacks as openly as successes. They lean on each other for perspective, advice, and ideas. And they keep those conversations going well beyond the event itself.

Why Now

The pressure to deliver faster, more innovative, more human customer experiences isn’t slowing down. If anything, the expectations on CX leaders are intensifying. But the best breakthroughs don’t happen in isolation. They happen when leaders come together to wrestle with tough questions, swap unfiltered insights, and leave with renewed conviction.

That’s what CRS San Diego delivers: three days of real-world learning, honest connection, and strategic clarity.

You belong in the room. Let’s make it happen.

Plan Your Experience

• Preview the agenda
• See our featured speakers
• Browse FAQs
• Register Now

Hotel Room Block Deadline: Wednesday, August 27, 5 PM PT
Rooms at the InterContinental San Diego are limited—reserve yours now to stay steps from the action.

The post Shape Your CX Roadmap for 2026 and Beyond at Customer Response Summit San Diego, Sept. 17-19, 2025 appeared first on Execs In The Know.

At our recent Briefing, “The Future of Call Center Partnerships,” CX leaders and strategic partners came together to discuss how maturing call center outsourcing models are reshaping the way organizations think about delivery models, commercial structures, and cultural alignment.  

The conversations underscored that adaptability, collaboration, and secure data sharing are now foundational to innovation, whether integrating artificial intelligence (AI) into frontline workflows or optimizing global delivery networks. 

The discussions revealed a clear trajectory: the shift toward outcome-based partnerships, expansion into emerging talent markets, and smarter integration of technology that amplifies, not replaces, human capability. The briefing provided a candid look at the strategies and operational realities shaping the next era of call center partnership.  

For executive leaders, these insights are not just best practices; they’re a roadmap for building more resilient, value-driven partnerships in a complex and fast-moving market. 

Let’s dive in. 

Data Access as a Prerequisite for Innovation 

Data emerged as the bedrock of effective call center partnerships. Without secure, timely access to operational data, even the most advanced tools can fail to deliver impact. 

Participants shared cases where structured data sharing with trusted partners enabled AI-powered solutions, such as agent assist systems, that cut handle times and improved first-contact resolution. Yet the true enabler was not the technology itself, but the integration made possible by shared visibility into customer interactions. 

“There is limited capability that us as a partner can provide without… access to data… we need you to trust us with your data… if we can resolve that challenge… we are in a position to drive a lot more value than what we’re driving now,” explained Steve Gush, Senior Vice President, Digital Services  at Foundever, underscoring data’s central role in innovation. 

“From a brand perspective, there’s this desire for us to be more innovative, to bring more technology, to bring more capability, and then from a partner perspective, it’s like we need you to trust us with your data,” said Doug Hoffschwelle, General Manager & Senior Vice President, Hypergrowth CX at ibex. “If we can resolve that challenge, I think we are in a position to drive a lot more value than what we’re driving now.” 

To strike the right balance, leaders emphasized governance frameworks that protect sensitive information while enabling the real-time analytics, predictive modeling, and optimization necessary for modern service delivery. This balance sets the stage for the next challenge: leveraging automation effectively alongside human talent. 

Balancing Automation with Workforce Strategy  

While automation promises efficiency, leaders were unequivocal: people remain central to service excellence. The most effective programs use automation to elevate, not replace, human expertise.  

“We launched AI in March, and we’ve got 1,200 different scenarios… those insights are then informing the copilot… what kind of real-time guidance can you give to the agents? How can you summarize things… optimizing knowledge bases… those are really practical things we’re doing,” described Jason Rosser, Executive Vice President, Solutions & Operations Strategy at IntouchCX. 

One example described AI knowledge systems that freed agents from repetitive tasks, allowing them to focus on complex issues, a shift that boosted both customer outcomes and employee engagement. These gains depended on intentional workforce strategies, including targeted training, clear career pathing, and retention programs. 

In discussing recruitment innovation, Jarrod Johnson, Chief Customer Officer at TaskUs shared, “We ended up deploying AI technology at the front of the recruitment cycle to basically make the onboarding of a viable candidate much easier. We cut the cost to hire by 50 percent in eight out of 12 markets that we’re in around the world.”

“The tools that exist today allow us to really optimize that insights-to-action loop… to elevate that to a place where we’ll be able to partner on automation upstream in the future,” added Rosser, looking ahead to broader AI applications. 

The takeaway was direct: automation and workforce strategy must advance in lockstep. Without a skilled and engaged human layer, technology alone cannot sustain customer trust or loyalty. This interplay also informs the way organizations now measure outsourcing value. 

The Shift Toward Outcome-Based Models 

The move from input-based pricing to outcome-driven models was a recurring theme. Success-based billing and performance-based contracts are aligning vendor incentives with critical business goals, from higher CSAT scores to improved resolution rates and even revenue generation.  

“It’s about being open, about being flexible, to be willing to look at things very differently,” explained Jim Mitchell, Vice President of CX & DX Innovation at TELUS Digital, stressing the importance of mindset in achieving outcomes.

Adopting these models demands rigorous clarity on metrics, definitions, and governance processes. Done well, they enhance collaboration and accountability. Done poorly, they risk misalignment and eroded trust.  

“Trust is so important to me. Are we trusted insights experts for your brand, or do we deeply understand your business, your customer, and your brand? Because if we’re not that, I don’t know how you can trust us and consider us for digital transformation,” added Hoffschwelle. 

These commercial shifts are happening alongside another transformation: the diversification of global delivery. 

Global Delivery Diversification 

“The primary driver we saw initially was the business continuity and diversification of footprint for the English language… that has significantly shifted. Egypt, as a multilingual hub, has a relatively near-term trend that large brands are taking advantage of for cost efficiency and scale,” explained Johnson. 

Emerging markets like Vietnam, Egypt, and Pakistan are gaining traction for their talent depth, cost efficiency, and scalability. Yet leaders cautioned that cost savings alone are not enough to justify market entry. 

Cultural compatibility, language capabilities, infrastructure reliability, and workforce maturity remain decisive factors. This more selective approach reflects a broader shift toward building delivery ecosystems that are both cost-competitive and strategically resilient. 

Demonstrating Measurable Impact 

The day’s discussions underscored the importance of proving value through quantifiable results. Examples included: 

• A 10 percent reduction in contact volume via automation and process redesign. 

• A 20 percent CSAT improvement through targeted training and tech enablement. 

• Faster ramp-up times for new hires with AI-assisted onboarding. 

These successes reinforced the point: measurable performance improvements require precise alignment of strategy, technology, and execution. That alignment often depends on cultural cohesion across organizations.  

Cultural Integration as a Performance Lever 

Cultural misalignment can undermine even technically sound outsourcing programs. One case highlighted operational KPIs being met while customer sentiment declined due to mismatched interaction styles. The solution was targeted cultural training and feedback loops, which improved customer perceptions without major process overhauls. 

This example illustrated that cultural integration, in communication, problem-solving, and service delivery, is not a soft consideration. It is a direct driver of performance and customer loyalty.  

“The way that we live our core values… is the backbone of everything that we do… that culture has been our secret sauce to trying to drive industry best-in-class attrition… low attrition drives operational performance,” added Johnson, connecting culture to performance metrics. 

The same principle applies when scaling programs. 

Scaling Through Collaboration and Adaptability 

As call center partnerships mature, flexibility becomes a competitive advantage. Leaders observed that the most scalable programs are built on joint scenario planning, transparent knowledge-sharing, and a willingness to recalibrate as conditions shift. 

Poor scale planning, whether in tech capacity, workforce supply, or governance, can quickly erode program value. By contrast, proactive adaptation strengthens both operational resilience and partner relationships, paving the way for outsourcing’s evolving role. 

Redefining the Strategic Role of Call Center Partnerships 

Throughout the briefing, a clear shift in mindset emerged: outsourcing is increasingly seen not as a cost-reduction tool but as a strategic platform for innovation, customer engagement, and operational resilience. 

This repositioning changes how leaders select partners, measure performance, and oversee programs at the executive level. Organizations treating outsourcing as a co-creation environment, rather than a transactional service, are better positioned to respond to market shifts and technological advances. 

Conclusion 

The  “The Future of Call Center Partnerships” Briefing confirmed that the industry is in a period of strategic redefinition. Data governance, technology integration, human capital investment, outcome-based models, and cultural alignment are now interdependent levers for success.  

For executives, it’s clear: structure outsourcing relationships as dynamic, trust-based partnerships capable of delivering measurable results today while adapting to the challenges of tomorrow. “I think the big buzzword for our industry over the next few years is really going to be orchestration… the ecosystem of your nearshore, offshore, and AI shore,” added Gush. 

Thank You to Our Host and Partners  

A special thank you to American Airlines for allowing us to host this Execs In The Know event at their headquarters in Fort Worth, Texas, and our business partners, Foundever, ibex, IntouchCX, TaskUs, and TELUS Digital, who joined us as panelists for “The Future of Call Center Partnerships Briefing.” Your thought leadership, perspectives, real-world examples, and candid insights enriched the conversation and helped shape the actionable takeaways shared here. Your commitment to advancing our industry made this discussion both valuable and impactful. 

Stay tuned for details on our next Call Center Partnership Briefing, where CX leaders gather to share insights, spark ideas, and shape the future of outsourcing together. 

The post The Future of Call Center Partnerships: Emerging Markets, AI, and Outcome-Based Pricing  appeared first on Execs In The Know.

Fueled by the rise of artificial intelligence (AI), organizations are now integrating a new kind of workforce; one that isn’t human, but incredibly capable. Meet agentic AI, an intelligent digital teammate designed to make autonomous decisions, execute tasks, and collaborate alongside human agents.

This isn’t about replacing people. It’s about evolving how work gets done. And it’s happening faster than you might think.

Digital Teammates, Not Just Tools

Agentic AI is more than a support bot or knowledge assistant. It’s a system with agency, the power to act independently toward a goal. These AI agents can assist, co-pilot, or even fully complete customer service tasks, depending on the use case.

Whether surfacing real-time knowledge to a human agent or independently resolving password resets and refunds, agentic AI is designed to drive outcomes while integrating seamlessly into the contact center environment. It’s not just doing tasks, it’s reshaping roles.

Rethinking the Frontline: A New Operating Model

With this new teammate on the floor, it’s time to revisit the operating model. The future of contact centers will depend on how effectively AI and humans can work together. That means defining clear collaboration patterns:

• AI Assist: AI supports the agent with suggestions or workflows.

• AI Lead, Human Review: AI does the heavy lifting, but agents approve key decisions.

• AI Complete: AI independently resolves simple, repetitive issues.

Mapping these models across your contact landscape builds trust, clarifies responsibilities, and helps both AI and humans shine in their strengths.

Redefining Human Roles

As AI takes on more routine work, the human role becomes more critical, not less.

Agents are freed up to focus on emotionally complex or high-stakes interactions. They become the empathy engines and strategic problem-solvers of the contact center. But to thrive in this new model, their roles must evolve.

Upskilling is essential. Think training in:

• AI literacy

• Emotional intelligence

• Data fluency

• Critical thinking

• Collaboration with AI tools

New roles will also emerge: AI operations manager, conversation designer, governance lead. Investing in these areas isn’t optional. It’s table stakes for brands that want to stay competitive.

Cultural Shift Required

Let’s be honest: AI can feel threatening to frontline employees. And when fear enters the conversation, adoption stalls.

That’s why a substantial change leadership plan is essential. Integrating agentic AI is not a tech upgrade; it’s a cultural transformation. Transparency, inclusion, and communication must be front and center.

Leaders should actively:

• Involve employees early

• Clarify role changes

• Offer reskilling pathways

• Create space for feedback

• Celebrate AI-human wins

When employees are part of the process, they become advocates instead of skeptics.

Governance Matters

With power comes responsibility. Autonomous AI systems must be governed carefully, with ethical guidelines, escalation protocols, and human-in-the-loop controls in place.

Ask yourself:

• What are our guardrails for AI autonomy?

• Who’s accountable if something goes wrong?

• How are we protecting data privacy and compliance?

• What metrics will we use to track trust and performance?

Don’t just launch AI, monitor it. Improve it. Keep it aligned with your values.

Pilot. Learn. Scale.

Before transforming your entire contact center, start small.

Run pilot programs with measurable use cases. Monitor performance, gather feedback from agents and customers, and adjust your approach. Use this as a test-and-learn period to refine your AI-human model before scaling.

Start by evaluating:

• ROI potential

• Workflow complexity

• Employee readiness

• Customer impact

According to Gartner, agentic AI could autonomously resolve 80 percent of customer service issues by 2029, reducing operational costs by 30 percent. That’s not a futuristic dream, it’s a near-term opportunity.

Is Your CX Team Ready?

Agentic AI doesn’t just automate, it redefines how we deliver care at scale.

Done right, it protects the customer experience while unlocking new levels of efficiency, consistency, and growth. But to capture its full potential, you’ll need more than a shiny new tool. You’ll need a vision, a roadmap, and a team ready to lead change.

Because CX is won or lost on the frontline, and the frontline is being transformed.

Want to dive deeper into the strategy behind agentic AI? Read the full article in July’s issue of CX Insight magazine for expert insights, practical frameworks, and real-world examples of brands embracing this emerging technology.

The post How Agentic AI Is Rewriting the Rules of the Contact Center appeared first on Execs In The Know.

The good news is that advancements in automation and artificial intelligence (AI) are enabling contact centers to redefine the customer experience. Businesses that integrate technology thoughtfully—not as a replacement for human agents, but as a tool to enhance efficiency and reduce stress—will be best positioned to deliver the fast, personalized service customers demand.

Customers Expect More, Faster

Today’s savvy consumers expect immediate, high-quality interactions, whether they’re calling to resolve a billing issue, requesting product support, or inquiring about a return. A PwC study found that 73 percent of customers view customer experience as a key factor in their purchasing decisions, sometimes prioritizing it over price or product quality. A slow, frustrating service interaction can drive them to a competitor.

This means businesses need to eliminate friction points in the customer journey. Self-service options need to be intuitive and capable of handling common inquiries, while live agents must be equipped with real-time data and AI-driven insights to quickly address customer concerns. Businesses that fail to adapt risk losing their precious brand reputation and, ultimately, their customers.

Automation and AI Play an Important Role

Automation already plays a big role in contact centers’ ability to satisfy demand, and AI will also soon play a significant role. When implemented strategically, AI should help streamline operations, remove inefficiencies, and allow agents to focus on complex, high-value customer interactions.

Many contact centers struggle with repetitive, manual tasks that slow down service and contribute to agent frustration. AI-powered automation alleviates these challenges by handling routine processes such as post-call summaries, customer authentication, and knowledge retrieval. Instead of spending valuable time searching for information or documenting interactions, agents can shift their focus to problem-solving and customer engagement.

AI is also transforming workforce management. Automated scheduling and workflows ensure that agents are deployed efficiently, balancing workloads and minimizing burnout. When contact centers leverage technology to optimize scheduling and task distribution, agents experience less stress, leading to better job satisfaction and higher-quality service delivery.

Agent Experience is Also Critical

While much of the conversation around CX focuses on technology, it’s important to remember that the agent experience plays a big role in driving customer experience. Agents who feel unsupported, overworked, or burned out are far less likely to deliver the level of service that customers demand. Also, many contact centers continue to face high turnover rates driven by stress and a lack of development opportunities.

Businesses that prioritize the well-being and engagement of their agents see a direct impact on customer satisfaction. Real-time automation can help mitigate burnout by facilitating training, coaching, performance feedback, and stress monitoring. It can drive more timely break scheduling to ensure that agents receive necessary downtime without disrupting service levels. Investing in continuous training and professional growth opportunities not only enhances agent skill sets but also fosters loyalty and long-term engagement.

Recognition and reward programs can also play a crucial role in maintaining morale. When agents feel valued for their contributions, they’re more likely to stay engaged, take pride in their work, and create positive, empathetic interactions with customers.

Balancing Technology and Humanity

Despite technology’s ability to enhance efficiency, human empathy remains irreplaceable in customer service. Customers want their problems to be solved quickly, but they also want to feel heard and understood. The most successful contact centers blend automation with a people-first approach, ensuring that while technology eliminates inefficiencies, agents remain empowered to deliver personalized service to customers. This balance is what sets leading organizations apart.

Automation and AI provide speed and accuracy, but it’s the human connection that fosters long-term loyalty. Companies that recognize this and invest in both AI-powered efficiency and human-driven service will define the future of customer experience.

Contact centers are no longer just service departments; they are brand ambassadors and competitive differentiators. Organizations that embrace technology to streamline operations while simultaneously prioritizing the agent experience will set new standards for excellence in CX.

By strategically leveraging real-time automation and AI, businesses can ensure that they meet today’s customer expectations while creating a resilient, high-performing workforce. The key to success lies in using technology not as a substitute for human service but as a tool to empower agents and elevate the entire customer experience.

Blog post contributed by Intradiem.

The post What’s Driving Contact Center CX Today? appeared first on Execs In The Know.

We’ve seen many different approaches to this process—the good, the bad, and the never-actually-got-started—but you don’t have to learn these lessons the hard way. As the provider of AI and automation solutions for the customer experience programs of multiple Forbes 500 companies, as well as BPOs of all sizes, we’re sharing some hard-won insights so you can successfully implement the right solution faster and start driving value from your investment right away.

Lesson #1: Perfect is the enemy of good, or: look out for analysis paralysis.

Many companies fall into the research trap. They spend so much time outlining all the potential use cases, analyzing the projected ROI, and assessing every new (and old) solution provider available in minute detail that months, quarters, even years pass before they make a move.

While you’ll want to have at least a rough outline of the challenges you’d like AI to solve (we’ll touch on that more later), we recommend starting small to prove value and, from there, building out an iterative roadmap. This approach reduces risk by making it easier to pivot and make changes as new findings are uncovered. Plus, a series of quick wins is better than multiple years of planning (with no results) or a massive implementation that’s no longer targeting the right goals by the time it launches.

Lesson #2: Build a solid foundation by learning to crawl, then walk, then run.

Start small to lay the groundwork for success. Choose one high-frequency use case and pilot a solution. Ideally, this would be something that provides significant agent value so they get comfortable using the tech and champion adoption. From there, you’ll be able to gather analytics and build a framework to implement further use cases organically.

To the extent possible, have use cases build off one another for an improved implementation process and a clearer overall business case. After all, an iterative roadmap targeting a series of incremental improvements can deliver truly meaningful impact.

Lesson #3: Do you want a faster horse or a car?

What type of solution are you picturing as you search through all the different AI and automation options for your CX tech stack? Many companies may just be imagining a faster horse, so to speak, not even realizing they could opt for a car instead.

Rather than just looking for ways technology can shave seconds off existing processes, think about entirely new processes that are only possible with technology. For instance, yes, an embedded AI solution in your CRM might improve AHT for calls where agents aren’t accessing other tools. But now imagine a layered AI option that can access all the same tools and screens as the agent—not just the CRM—taking entire case categories off an agent’s plate.

Lesson #4: Focus on the bigger picture: the customer experience.

Productivity is often the number one target of AI and automation use cases. That makes sense, because it’s easy to calculate the financial impact. But consider the bigger picture. How much is a customer’s loyalty worth? And is that loyalty affected by their experience with your contact center? To wit: you may not want to go all in on AI chatbots if they frustrate your customers while only marginally reducing the number of calls transferred to agents, anyway.

Technology makes it possible to create customer experiences that simply weren’t possible before. As an example, AI could analyze a customer’s full history at the start of a call and present the agent with a summary and personalized suggestions. Or, using call transcripts and automations along with finely tuned generative AI models, a brand could send personalized follow-up emails after every call.

Lesson #5: Choose a partner, not just a provider.

Maybe your use case is very simple, easily handled with a basic plug-and-play RPA solution. But sophisticated technology paired with constantly changing business processes means even a basic solution might come with its share of challenges. Make sure any vendor you choose will provide the support you need to find success. They should be able to help you define clear goals for a pilot or first use case, advise you on agent adoption strategies, troubleshoot and refine the solution, and more.

It’s also important to make sure your chosen vendor aligns with your company’s values. Questions around ethics and data privacy are hot topics, and you’ll want to know where any company you partner with stands on these issues. As technology evolves and advances, you’ll want to know you have a partner you can trust.

The post Walk Before You Run: Where to Start with Contact Center AI appeared first on Execs In The Know.

In our latest CX Insight magazine article, Leveraging the Benefits of AI Without Compromising Customer Trust, we delve into how organizations can design AI strategies prioritizing customer trust and privacy.

Trust is foundational in AI development and deployment. For AI to be effective and widely accepted, it must be built on trust.

Here are a few ways organizations can achieve this.

Establish a Customer-Centric Approach

• Incorporate the Voice of the Customer (VOC): Engaging customers early in the development process helps address privacy concerns and ensures that AI practices are transparent and aligned with customer expectations.
• Adopt Privacy-First Solutions: Techniques like anonymization and data minimization can protect customer identities and ensure data security, fostering a sense of safety and trust.

Maintaining Trust in Daily Operations

Once AI solutions are live, maintaining trust requires consistent efforts.

Transparency and Communication

• Explain Data Usage: Clearly communicate how customer data is collected, stored, and used. Provide accessible insights into AI-driven decisions to demystify the technology.
• Regular Updates: Keep customers informed about any changes or updates in AI practices and how these might affect their data.

Compliance and Ethical Practices

• Adhere to Regulations: Ensure compliance with data protection regulations such as GDPR and CCPA. This adherence not only builds trust but also safeguards the organization from legal repercussions.
• Fair and Unbiased Systems: Implement checks and balances to ensure AI systems are free from biases and deliver fair outcomes for all customers.

Realizing the Benefits of Privacy and Personalization

A strong AI foundation built on trust enables significant advantages.

Personalized Customer Interactions

• Tailored Recommendations: AI can analyze customer data to provide personalized recommendations and customized content, enhancing customer satisfaction and loyalty.
• Enhanced Customer Engagement: Personalization efforts can lead to more meaningful interactions, driving deeper customer relationships.

Operational Efficiency

• Automation: AI can automate routine processes, freeing up human resources for more complex tasks. This automation can scale personalization efforts, improving service delivery and business growth.

Achieving the Perfect Blend

A staggering 73% of organizations are investing in AI for CX operations. The key to success lies in balancing technological innovation with customer trust.

Employee Training

• Educate Employees: Train employees on AI practices and data privacy principles. Knowledgeable staff can better manage AI systems and address customer concerns effectively.

Customer Empowerment

• Data Control: Offer customers control over their personal data, including options to opt-out or modify their data-sharing preferences.
• Active Feedback: Regularly seek customer feedback to continuously improve AI systems and maintain high levels of trust.

By embedding these principles into their AI strategies, organizations can leverage AI to improve customer experiences and operational efficiency without compromising trust. For a deeper dive into building a customer-centric AI strategy that fosters trust and privacy, read the full article here.

The post Building Customer Trust in AI: Key Strategies for CX Leaders appeared first on Execs In The Know.

In this blog, we aim to debunk common misconceptions surrounding BPO and shed light on its significant contributions to modern business practices.

Myth 1: Loss of Control and Quality

• Fact: One of the most prevalent misconceptions about BPO is the fear of losing control over crucial processes and the subsequent decline in service quality.
• Debunked: In reality, reputable BPO providers ensure open communication and collaborative partnerships, allowing businesses to maintain control while benefiting from specialized expertise. Established BPO partnerships often lead to improved quality through streamlined processes and access to skilled professionals.

Myth 2: BPO Is Only for Large Corporations

• Fact: Many small and medium-sized enterprises (SMEs) believe that BPO is exclusively tailored for large corporations with extensive resources.
• Debunked: BPO solutions cater to businesses of all sizes and industries. SMEs can leverage BPO to gain access to specialized services and cost-effective resources that boost competitiveness and growth.

Myth 3: BPO Is Only for Cost-Cutting

• Fact: Some organizations view BPO solely as a cost-cutting measure, overlooking its broader strategic advantages.
• Debunked: While cost savings are a compelling benefit, BPO goes beyond expense reduction. It empowers businesses to focus on core competencies, accelerate innovation, and gain a competitive edge in the market.

Myth 4: BPO Leads to Job Losses

• Fact: A common misconception is that outsourcing leads to widespread job losses in the home country.
• Debunked: BPO actually facilitates job growth by allowing businesses to allocate resources more efficiently. It often leads to the creation of new roles in strategic areas while optimizing operations through specialized talent.

Myth 5: BPO Is Limited to Call Centers

• Fact: BPO encompasses a wide array of services and functions beyond call center operations.
• Debunked: BPO offerings span finance and accounting, human resources, data management, IT services, digital marketing, and much more. It is a versatile solution that caters to diverse business needs.

BPO is a strategic and dynamic business solution that can drive success and growth for organizations across industries. By dispelling common misconceptions about BPO, businesses can unlock its full potential and embrace the numerous advantages it offers.

From enhancing efficiency and accessing specialized expertise to optimizing costs and focusing on core competencies, BPO empowers organizations to thrive in today’s competitive landscape. Embracing BPO with an informed perspective allows businesses to forge strong partnerships and leverage this transformative strategy to their advantage. Interested in learning more? Reach out to one of our specialists today.

Guest post written by Alta Resources.

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1. The surging prominence of conversational AI and the quest for the ideal solution
2. The inherent challenges in embracing AI, notably the need for cross-collaboration and alignment
3. Prioritizing AI and its positive impact on customer interactions

Conversational AI is not just a fleeting trend; it’s a transformative force poised to redefine customer engagement across various industries. So, what sets it apart, and how can it be leveraged to enhance customer interactions?

Let’s dive in.

To understand, we need to explore its essence. Conversational AI acts as a bridge between humans and computers, facilitating seamless communication. This nexus of artificial intelligence, automated speech recognition, natural language processing, machine learning, and human-in-the-loop offers unparalleled advantages to contact centers.

Businesses are increasingly realizing the immense potential of conversational AI, but the key to success lies in choosing the right solution, engaging the appropriate stakeholders, and prioritizing accordingly to ensure transformative success.

Choosing the Right Conversational AI

There’s an abundance of conversational AI tools in the marketplace, making it a daunting task to pinpoint the one that best aligns with a company’s specific needs – a sentiment echoed by many luncheon attendees. But, not all solutions are created equal. In the rapidly advancing tech landscape, the decision to select the right one becomes even more critical.

Conversational AI tools offer numerous advantages to a company, staff, and customers. As companies delve into AI, it’s crucial to strike a balance of excitement and caution. While we’ve seen groundbreaking enhancements in customer interactions and operational processes in companies like GoDaddy, it’s essential to ensure that technology solutions align with organizational goals and values, and that they cater to the needs and experiences of end-users.  Start by envisioning the ideal user interaction and research a platform that supports that vision.

Next, engage with established vendors who possess a deep understanding of customer service, and industry nuances. This holistic expertise guarantees seamless and user-friendly interactions, eliminating mechanical and awkward exchanges between the IVA (intelligent virtual assistant) and customer.

Crucially, as companies explore AI solutions, evaluate the long-term implications, potential risks, and rewards associated with each platform, ensuring a strategic and thoughtful implementation process.

Aligning Stakeholders for Transformation

A consistent theme that emerged during the discussion was the importance of alignment. For an AI-driven transformation to succeed, stakeholders from various departments must come together, understanding and championing the change. From technology to marketing to customer success, the move towards AI should be a collaborative effort, otherwise, efforts to embrace and implement digital transformation will inevitably fail.

Prioritizing AI Investments for Maximum Impact

In the ever-evolving realm of business and technology, investing strategically in AI is pivotal for success. It’s evident that AI has immense potential, but its implementation must be methodical and deliberate, necessitating businesses to prioritize their investments. This involves identifying which AI applications will provide the maximum return on investment. For instance, is the goal to improve self-service opportunities? Or is it more about refining product development? (Though, if it were up to us, we’d vote for customer service improvements.)

AI can significantly boost efficiencies, but its application should be rooted in real customer needs. Whether it’s understanding a customer’s voice intent or offering personalized experiences, conversational AI solutions should aim to enhance genuine human interactions, not replace them. It’s also crucial to ensure the solutions adopted are aligned with company values and objectives.

Focusing on solutions that align with business goals, resonate with values, and are proven to drive results will guide AI implementation more effectively.

The Future of Customer Experience is AI

It’s clear that AI is shaping the future of customer experience, opening up new avenues for businesses to engage and delight their customers. There are tales of companies fast-tracking AI implementation, moving from traditional manual processes to automated ones. The consensus is that while the journey might be challenging, the results are worth it. Yet, as with all technological advancements, it requires strategic planning, cross-departmental collaboration, and a clear understanding of the desired outcomes.

This evolution, however, is not without its challenges. The vast selection of AI solutions, navigating the complex waters of stakeholder alignment, and identifying priorities within an ever-growing AI industry all pose their unique hurdles. But one thing is sure, as shared by an executive: “The answer is not all in on AI… It’s about taking the first step.”

To truly maximize the potential of AI, businesses should focus on the real stories, the tangible impacts, and the human connections these technologies can foster. The future might be AI, but at its heart, it remains deeply human.

Are you ready to take your first step? This checklist will help you understand the key functions your IVA should be able to automate to deliver a streamlined, efficient customer experience. Check out the IVA Automation Checklist.

Guest blog post written by Interactions.

The post Navigating the Conversational AI Landscape appeared first on Execs In The Know.

Gone are the days of long wait times, repetitive processes, and frustrating customer experiences. Today, AI is paving the way for personalized, efficient, and engaging interactions that leave customers delighted and businesses thriving. According to a Gartner report, one in 10 agent interactions will be automated by 2026, an increase from an estimated 1.6% of interactions today that are automated using AI.

Let’s explore the transformative power of AI in call centers, uncovering how it is reshaping the way businesses interact with their customers.

AI Is a Top Destination for Investment

In our CX Leaders Trends & Insights: 2022 Corporate Edition, we discovered that 61% of organizations have either applied the use of AI to their contact center organizations or expect to soon. Although this number is up from 57% in 2021, it is still down substantially from 2020 when 71% of organizations had deployed (or planned to deploy) AI. AI continues to be a top destination for investment (page 70), but brands are also investing in technologies that enable AI, like Text/Voice Analytics, Big Data Utilization, and Predictive Analytics.

AI Application and Channel Deployment

Customer-facing solutions remain the most popular use of AI, occurring among 69% of those organizations currently deploying AI. This is followed by Agent-Assisting AI solutions, which occurs in an area (Agent-Assist Technologies) that saw a modest bump in investment year-over-year, as indicated on page 70. It remains to be seen how budgetary pressures might affect investments in AI in the near-term, yet it is certain investment will continue to flow toward AI in the future, especially as the possible applications of AI continue to broaden.

Objectives for AI

Several trends continue to offer promise when CX leaders were asked to identify which objectives they are primarily trying to accomplish with their use of AI. First, “Improve the Customer Experience” has further stretched its lead against other objectives, while use of AI to reduce costs and divert contacts continues to fall. AI best serves customers when it is used to simplify, expedite, or in some other way enhance the customer care experience, particularly in its application toward things like unassisted solutions. On the flip side, reducing cost and reducing human-assisted contacts are not customer-centric objectives and shouldn’t be the primary drivers of AI’s use.

Enhancing Customer Interactions

AI-powered chatbots and virtual assistants are taking customer interactions to new heights. These intelligent systems are equipped with Natural Language Processing (NLP) capabilities, allowing them to understand and respond to customer queries in real time. Say goodbye to scripted conversations and hello to dynamic, contextual interactions. With AI, call center agents can focus on complex issues that require a human touch, while AI handles routine inquiries with precision and efficiency.

Empowering Call Center Self-Service

Customers no longer need to rely solely on call center agents for support. AI has empowered self-service options, enabling customers to find solutions to their problems quickly and independently. Through intelligent chatbots integrated into websites and mobile apps, customers can access instant support, receive product recommendations, and resolve common issues on their own terms. This self-service capability not only boosts customer satisfaction but also reduces call volumes, allowing call center agents to dedicate their time to more complex and value-added tasks.

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Predictive Analytics for Personalized Experiences

AI-driven analytics is unlocking a wealth of customer insights, enabling call centers to deliver personalized experiences. By analyzing vast amounts of data, AI algorithms can predict customer behavior, preferences, and needs. Armed with this knowledge, call center agents can tailor their interactions, offering relevant recommendations and solutions that resonate with each customer. Through AI-powered analytics, businesses can foster stronger customer relationships, boost loyalty, and drive long-term success.

Streamlining Call Routing and Prioritization

Gone are the days of customers being passed from one agent to another, frustratingly repeating their issue multiple times. AI algorithms now analyze and classify customer queries in real-time, ensuring they are routed to the most suitable agent with the necessary expertise to handle the specific issue. This intelligent call routing saves time, reduces customer frustration, and increases first-call resolution rates. It empowers agents to focus on their strengths, leading to improved efficiency and overall customer satisfaction.

Continuous Learning and Improvement

AI never stops learning. Call centers are leveraging AI technologies to capture and analyze customer interactions, gaining valuable insights for ongoing improvement. Through sentiment analysis, AI can understand customer emotions and detect potential issues or areas of improvement. This data-driven feedback loop allows call centers to optimize their processes, refine agent training programs, and proactively address customer pain points. By harnessing the power of AI, call centers can evolve into customer-centric hubs of excellence.

From a Reactive to a Proactive Call Center 

The call center landscape is undergoing a remarkable transformation powered by AI. With intelligent chatbots, personalized experiences, efficient call routing, and continuous learning, businesses can provide unparalleled customer experiences that set them apart from the competition. The days of long wait times and frustrating interactions are becoming a thing of the past. It’s time to embrace AI and leverage its potential to elevate your call center into a customer-centric powerhouse.

Looking to gain more insights into CX technology and AI? Check out our CX Leaders Trends & Insights: 2022 Corporate Edition report (pages 72-77) or you can watch our recent CX Leaders Webinar, “How Generative AI, Gig, and Traditional Support Are Shaping the Future of the Call Center” on demand.

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