The playbook for getting AI buy-in across your org

By Replicant
November 19, 2025

Step 2: Building stakeholder buy-in

It takes a village and that’s a feature, not a flaw.

Why AI transformation requires alignment

AI transformation cuts across people, process, data, and systems. That means momentum is a team sport. The goal of Step 2 is to turn your vision into shared ownership, so each function sees their win, their role, and their scoreboard.

Why does that matter? According to recent research, up to 95% of GenAI pilots stall before they reach scale. Your board and CEO want to know not just if you’re doing AI, but how fast you can get to measurable impact. Getting broad alignment isn’t just good hygiene—it’s the difference between being in the successful 12% or stalling with the rest.

Even the best strategy will stall without alignment. You can’t build integrations, shift processes, or reimagine workforce design in isolation. When you align early, every stakeholder becomes a co-architect instead of an observer.

Craft a shared narrative everyone can repeat

Start with a narrative so simple it fits in a single sentence: “We’re eliminating customer wait times on our top call drivers within 90 days.”

That’s how you make your AI vision tangible. Every team — from Finance to IT — can repeat it, understand it, and see their impact.

Make the scoreboard real. Keep it focused on outcomes and metrics (speed, satisfaction, efficiency, CSAT, NPS, cost per contact, containment rate) rather than technology (platforms, models, or flows). When the story is clear and measured by real KPIs, alignment becomes natural.

Bring in the right stakeholders and explain why they matter

Transforming CX through AI takes a cross-functional coalition. The right mix of strategy, operations, and technical expertise. You’ll need each of the following groups engaged early and clearly:

Stakeholder group Role/titles Why you need them
C-level business sponsor Executive champion (CEO, President) Leads the transformation, secures resources, and ensures the initiative stays a company priority.
C-level IT sponsor Technical executive (CIO, CTO) Guides IT transformation, prioritization, and governance across systems and vendors.
Operator — IT / IT operations Integration architect (VP of IT, VP of Development) Defines how AI connects to systems, APIs, and telephony, ensuring reliability and data integrity.
Operator business sponsor Service expert (VP/Director of CC) Brings firsthand knowledge of customer needs, top contact drivers, and the reality of the front line.

It’s critical to bring IT in as a co-architect, not as last mile support. Early engagement avoids painful roadblocks later, especially on integration, compliance, and scale.

This is the “village.” Each group plays a unique role in building something that lasts. Without business sponsorship, you lose momentum. Without IT, you lose scale. Without CX operators, you lose empathy.

The goal isn’t to get everyone involved at once, it’s to align their energy toward a shared outcome: faster service, better customer experience, and a measurable reduction in cost per contact.

Clarify roles and decision rights early

Confusion kills velocity. Define who decides what before you start:

  • Who signs off on the first go-live?
  • Who owns post-launch optimization?
  • Who reports outcomes weekly?

A lightweight RACI (Responsible, Accountable, Consulted, Informed) across these decisions keeps governance lean but clear.

Remember: alignment isn’t bureaucracy. It’s fuel. When everyone knows their role, meetings get shorter, and execution gets faster.

Create a rhythm of collaboration

Momentum comes from cadence. A 30-minute weekly check-in with a fixed agenda covering performance trends, containment, top issues, and fixes shipped institutionalizes progress.

This cadence is how leading brands shift AI from “project” to “operational habit.” When leadership reviews AI performance with the same regularity as SLA or staffing metrics, you’ve embedded it into operations, not innovation theater.

AI transformation succeeds when it becomes a habit, not a project.

Handle resistance with facts and empathy

Skepticism is natural. Address it head-on and with data and never hesitate to ask a vendor for their own case studies and first-party results for use cases similar to yours.

Some concerns are principled (quality, compliance, brand voice). Respect those. Demonstrate guardrails, show transcript evidence, and highlight before-and-after metrics.

Others are habitual (“we tried this before”). Counter those with proof, not persuasion. Let the numbers: faster resolutions, higher containment, stable CSAT, speak for themselves.

Showing real transcripts and before/after results from early deployments is a proven way to turn critics into champions.

The best defense against resistance is transparency. Invite critics to review real performance. When they see the results, they often become advocates.

Build shared ownership

Close with ownership and visibility. Publish a one-page “who does what” matrix and outline the next 30 days of milestones.

AAA Auto Club Group reduced agent workload by the equivalent of 25 FTEs while improving satisfaction by 900 basis points. When teams see outcomes like that and recognize their own fingerprints on the plan, buy-in stops being a push — it becomes a pull.

Success in AI is rarely a solo act. It’s the result of a village that moves in sync. Let's go to Step 3- the questions every CX leader should ask before choosing an AI vendor.

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