Reimagining Service
Before It Breaks You

Why service transformation belongs on the executive agenda.

A customer waiting for an answer experiences the whole organization: its processes, its technology, its people, and the decisions that connect them. That makes service a leadership responsibility.

In the white paper I wrote in 2025, I argued for a ground-up reinvention of customer service, bringing together AI, modern platforms, and human-centered design. The central challenge is organizational: leaders have to decide how the business should serve its customers and commit to the changes required.

Repeated handoffs, disconnected channels, and employees searching across systems are useful signals. Each points to a question about how the enterprise works. Treating those signals as individual contact center problems can leave the underlying causes intact.

Put executive ownership behind the outcome

Service crosses boundaries. A customer’s problem may begin with a product, an order, a bill, or a policy, then surface in the contact center. Resolving it can require decisions across operations, technology, finance, marketing, and product teams.

The executive team needs to establish a shared outcome and give someone the authority to pursue it. Agree on which customer journeys matter most, who owns them end to end, and how conflicts between functional priorities will be resolved. Put those decisions into a regular operating forum.

Modernize the work alongside the technology

AI belongs within a clear service design. Define the task it should support, the information it needs, the boundaries of its authority, and the route to a person when judgment is required. Begin with a specific customer problem and evaluate whether the proposed approach resolves it reliably.

That work also exposes foundational questions. Can the organization access accurate customer information? Do systems support the handoff? Can employees see what has already happened? Is the policy itself creating unnecessary demand?

Address those conditions as part of the transformation. A useful pilot should test the workflow, the operating responsibilities, and the customer experience as well as the technology. Use what the team learns to decide where to invest next.

Make adoption part of delivery

My original paper put it plainly: “Technology without people fails.” People need the tools, skills, confidence, and authority to work differently. That requires more than a launch announcement and a training session.

Involve frontline employees in the design. Let them test real situations and difficult exceptions. Equip managers to coach, resolve problems, and explain what is changing. Identify colleagues who can support adoption locally and bring useful feedback into the program.

Be candid about how roles may evolve. Clarify where human judgment remains essential and how the organization will support people through the transition. Trust depends on what leaders do when the work changes.

Build a business case the organization can test

Set a baseline for the outcomes the work is meant to improve. Depending on the problem, that might include first-contact resolution, repeat demand, customer satisfaction, employee effectiveness, or cost to serve. Consider the quality of the customer outcome alongside productivity.

Include the cost of implementation, integration, ongoing operation, training, and change. Identify the assumptions behind any expected benefit and assign an owner to validate them. Capacity released through automation only becomes a realized benefit when there is a plan to use it.

Use the evidence to expand, adjust, or stop the work. Set the timetable around the organization’s starting point and delivery capacity. A credible transformation plan makes both the ambition and the assumptions visible.

Five practical moves for leaders

1. Diagnose the service experience. Examine the journeys that create the most friction. Combine operating data with what customers and employees are telling you.
2. Establish a team with decision authority. Bring together the functions responsible for the outcome, with executive sponsorship and clear accountability.
3. Pair an early improvement with a path to scale. Choose a bounded problem, test the solution, and address the platform and process dependencies that expansion will require.
4. Invest in adoption. Prepare managers, practice the new workflows, support frontline teams, and use feedback to improve the design.
5. Review results and act on them. Track customer, employee, and business outcomes against the baseline. Make the next decision based on what the work demonstrates.

Let service inform the wider strategy

Customer interactions can give the executive team a direct view of where the business creates friction. Use those insights to improve products, policies, and processes, then check whether the changes help. The aim is an organization that learns from service and acts on what it learns.

This is where transformation, adoption, and leadership meet. Set the direction. Fund a credible plan. Give people the means to deliver it. Stay engaged long enough to turn the investment into a better way of working.