Stop the “Silver Bullet” Mindset Holding Back Your AI Strategy

Is everyone in your contact centre treating AI like a “silver bullet”? Expecting it to automatically cut costs, reduce call volumes, and improve customer satisfaction all at once? You’re not alone!

Too many people are falling into this trap! But there are ways around it! That’s why we asked our consultants panel for their best ideas on how to help everyone across the contact centre see AI as the useful tool that it is, so it can be thoughtfully applied in the areas where it can have the biggest impact on CX.

Always Ask “Does This Actually Make Life Easier for the Customer?”

Brad Cleveland, Consultant, Keynote Speaker and Course Instructor — Brad Cleveland

The best contact centres I see are clear about one thing early on: AI is there to support, not to take over. That distinction matters.

If leaders talk about AI primarily as a way to replace people or drive headcount down, teams either lean on it too hard or quietly distrust it.

But when it’s positioned as support (something that removes laborious work and helps people make better decisions), it lands very differently. Agents don’t feel threatened, and customers don’t feel pushed aside.

In practical terms, this means tying AI decisions to service outcomes, not excitement about the technology itself.

Before automating anything, ask a basic question: does this actually make life easier for the customer?

Faster is fine. Cheaper is fine. But reassurance, clarity, and trust matter just as much. If automation gets in the way of those, it’s the wrong move.

Contributed by: Brad Cleveland, a well-respected consultant, keynote speaker, and course instructor

If you want advice on making your CX strategy work, read our article: How to Turn CX Promises Into Accountable Actions

Make Sure Agents Are Celebrated for Exercising Discretion

Brian Manusama, Analyst and Executive Partner at Actionary — Brian Manusama

When AI is deployed without clear boundaries, it quietly becomes the decision-maker by default, and human judgement withers.

If you want AI to enhance the human touch, you must first protect it. Define the moments where only a human can lead – emotional distress, ambiguity, exceptions, or any situation that doesn’t fit neatly into a dropdown menu. If agents feel they need permission to act human, the game is already lost.

Training matters, but culture matters more. The best teams treat AI as advisory, not authoritative. Agents should be empowered, even celebrated, for exercising discretion. “The system suggested X, but I chose Y” should mark professionalism, not risk. If your QA scores penalize good judgement, don’t be shocked when judgement vanishes.

Here’s the uncomfortable truth: AI won’t ruin your service. Abdicated leadership will. Decide where humans matter most, draw the line clearly, and let AI do what it does best, quietly making good people even better.

Contributed by: Brian Manusama, Analyst and Executive Partner at Actionary

Empower Agents to Actively Spot and Solve Friction From the Bottom Up

Michel Stevens, Customer Experience Master (CXM) — Michel Stevens

Train your team to treat AI as some sort of “exoskeleton”. If the AI handles the admin work, the agent has the mental bandwidth to focus on parts of the conversation they would typically miss when overwhelmed by the sheer volume of tasks coming their way.

This requires rethinking how we use these tools. A great example is a client of mine who uses AI to turn frontline staff into innovators. Say a representative gets five similar calls and thinks, “Why don’t we change the claims process?”

Instead of waiting for a meeting, they ask the LLM: “What would customers think of this change?” The AI, trained on thousands of feedback points and behavioural predictions, gives immediate feedback on the constraints and likely customer reactions.

This enables your people to pre-test their ideas instantly. You are enabling them to become Micro-CX Leaders. Employees who don’t just execute tasks but actively spot and solve friction from the bottom up. That’s a use of AI and people I can get behind!

Contributed by: Michel Stevens, Customer Experience Master (CXM)

Accept That Some Interactions Will Always Need a Person

Pier Ragone, Director of Contact Centre and Customer Relations at Porter Airlines Inc. — Pier Ragone

Start with one simple rule. Every AI interaction must have an easy out. If a customer is stuck in their journey, they should be able to reach a human quickly and without friction.

Just as important, the system and the agent should capture why that hand-off happened.

Was the interaction truly avoidable?
Was the journey unclear?
Or was human support genuinely required?

That insight is where AI creates real value. Not by deflecting volume but by revealing where the customer experience needs improvement.

The same principle applies internally. What frustrates your team almost always frustrates your customers. Policies and training should reflect that customer service has two jobs. One is to solve the issue in front of you.

The other is to understand why the customer felt it was necessary to reach a human in the first place. Solving the problem without learning from it misses half the opportunity.

Over-automation is rarely about doing too much. It is usually about doing it without escape routes. Automate what works well and what customers can complete easily.

Keep improving those flows. But accept that some interactions will always need a person. That is not a failure of AI. It is part of the process.

The goal is not to remove humans from the experience. It is to use AI to make human conversations more meaningful when they matter most.

Contributed by: Pier Ragone, Principal Consultant, CX Operations & Strategy

Get the Right Stakeholders Involved So It Doesn’t Just Become a Cost-Cutting Project

James Parkin, Founder of Ellison Coast — James Parkin

It’s about having the right stakeholders with the right empowerment involved in the AI contact centre project.

Companies that ensure it’s not led foremostly as a technology project or even a cost-cutting project but rather as a people project tend to get the right balance for customer experience.

This comes down to having all the right departments involved and sharing power to drive a clear vision of what AI tooling is there to do and what it shouldn’t be doing (yet).

Contributed by: James Parkin, Founder at Ellison Coast

★★★★★