AI Buy-In: Because “Trust Me, It’s Cool” Doesn’t Work on CEOs

September 9, 2025

Lately I’ve been considering what it takes to earn buy-in from business leaders when it comes to embedding AI. Recognizing AI’s potential at a team level is easy, but translating that into a vision leadership can act on is much harder.

What I’ve noticed is that most executives already have frameworks or models they trust. They might think in terms of customer journeys, operating models, or value chains. If you present AI as a new, standalone initiative, it can feel abstract or disconnected. But if you translate AI into the language of a framework they already use, the conversation becomes much easier.

That translation work is valuable in itself. It forces you to think differently about how AI tools fit together, not just in terms of “engines” or categories, but in terms of real business processes. You start to see where agentic AI can relieve bottlenecks, where it can act as a force multiplier, and where human judgment remains essential.

There are several frameworks that can help shape this conversation. A few that stand out:

The Value Chain

Leadership already thinks in terms of core vs. support activities. This framework shows how agentic AI can optimize primary activities (marketing, sales, operations, service) and secondary ones (HR, finance, IT). The idea here is to show that AI isn't a 'bolt-on' addition to the business, but one where it threads through the value chain to reduce costs and improve differentiation.

People, Process, Technology

This is the classic triad. Easy to understand. AI is a force multiplier for people, reducing repetitive work. Streamlining workflows and decision-making processes and acting as an orchestration layer that integrates different tools.

The Capability Maturity Model

This framework helps leadership see AI adoption as a staged journey rather than a leap.

1. Experimenting with isolated tools.

2. Standardizing use cases in departments.

3. Integrating AI into cross-department workflows.

4. Agentic orchestration. (Pinky: "Gee Brain, what are we going to do tonight?" Brain: "Agentic Orchestration!" NARF!) If you know, you know. :D

We start with 'Here's where we are today, here's what's 'good' looks like, and here's the path to get there.'

Customer Journey Mapping

We can use this framework to talk about AI in terms of customer experience and friction points. Map AI agents to touchpoints such as awareness (content automation), consideration (personalized nurture campaigns), purchase (chatbots anybody?) and post-sale (service and support). The key idea is that AI plugs into the customer journey where friction exists.

Each of these gives leaders something familiar to anchor on, while also creating space to introduce new thinking. The goal isn’t to AI-ify everything. The goal is to identify where it makes the biggest difference, and to align that with how the business already understands itself.

The takeaway is that getting buy-in from leadership isn’t just about proving AI’s capabilities. It’s about choosing the right frame for the conversation. Speak in terms of what they know and you're half way there. If leadership can see AI not as a disconnected layer of technology, but as something that strengthens the structures they already rely on, your path forward becomes much easier.