How to Integrate the Right Technology at the Right Time

TechTarget and Informa Tech’s Digital Business Combine.

Together, we power an unparalleled network of 220+ online properties covering 10,000+ granular topics, serving an audience of 50+ million professionals with original, objective content from trusted sources. We help you gain critical insights and make more informed decisions across your business priorities.

 
Advertisement

How to Integrate the Right Technology at the Right Time

Ask a room of leaders what will transform their business this year and most will say AI. Ask which problem it solves, and the answer is high-level: deflection of contacts, cut cost and improve the customer experience. We’ve heard this for decades as we chased these same goals by investing in self-service. So, the question is: what is really new?

What is new is the technology itself. In the past, self-service strategies were for simple transactions. Natural language was not as intuitive as it is today and site navigation wasn’t so simple. Today’s AI understands intent, so the answers are accurate, relevant and available on many channels. It is also far faster to deploy than past system builds.

What has not changed is the discipline. We still must diagnose, prioritize and plan before any implementation. Across my first two blogs, I made that case: identify your top two pain points before reaching for a solution. Once you have named the root cause, the fix might be a process change, better service from your people or technology. Naming the problem is the easy part. Choosing how to solve it, and executing with excellence, is where most teams struggle.

Match the Technology to the Pain Point

With the root cause named, let’s assume the right solution is technology. The key is to match it to the pain point in proportion, because there is no sense firing a cannon to swat a mosquito. A foundational requirement for any successful technology deployment is to ensure that data is organized and clean, and processes have been simplified and defined. So, here are my recommendations for a strong technology match.

  1. Automation. Best for clear, linear, rules-based work. It runs the same way every time, with no interpretation or learning, which is what separates it from AI. Password resets, order-status lookups and eligibility checks are textbook cases. Point it where volume is high and rules are clear, then build an exception path so edge cases escalate to a person rather than frustrating customers.

  2. Conversational AI. Remember shouting at the voice bot in past IVR menus? The experience is better now as the voice bot understands natural language and is able to respond naturally and appropriately. Deploy it in phases: a few easy call types or chat flows at a time, measure and compare against historic data, tweak and then add more contact types. The usual measure of success is contacts deflected, but that is only half the story, so pair it with customer effort to learn the fuller picture.

  3. Generative AI. The value is where it fits. Inside an organization, use generative AI to draft replies, reduce “after call work” by summarizing actions and power Agent Assist that feeds your people the right knowledge and words in real time. Additionally, generative AI has reshaped quality assurance by reviewing 100% of interactions instead of the 1-2% through human powered review. It surfaces customer sentiment trends and the skills that make or break a customer experience. An underlying “must have” is a continuous improvement process to keep your knowledge base up to date.

  4. Agentic AI. Best for multi-step complicated work that spans different systems, like onboarding a customer or setting up a loan from approval to funding. Agentic AI is able to plan and execute each step working with the customer. Begin where risks stay contained, a billing dispute within set dollar limits or a delivery that goes wrong in transit, which the AI agent catches, replaces the item and avoids the service failure before the customer notices. Another basic “must have” is to be clear about which actions an AI agent can take on its own, and which a human must approve.

  5. Human first. Complex, high-touch, emotive work is best delivered by humans. For example, settling a deceased parent’s accounts where empathy and critical thinking are essential qualities that most systems cannot replicate. As AI absorbs the routine, human work grows scarce and is ultimately more valuable to the overall customer experience. Invest in your people and build these advanced skills for the moments that demand them.

 

The winners over the next few years will not be the organizations that deploy the most AI. They will be the ones that know where not to. Match each pain point to the right capability, human or machine, and technology stops being the headline and becomes the advantage.