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When selling AI to an enterprise, remember you're pitching an individual who is risking their reputation. The FDE's job is not just technical but political: make your internal champion look good. Frame the project around driving cost-effective value that contributes to their promotion.

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The most valuable AI champions within a company don't just promote tools. They act as 'internally deployed vibe coders,' embedding with business units to show what's possible by co-creating solutions and helping to fundamentally change workflows.

Generic use cases fail to persuade leadership. To get genuine AI investment, build a custom tool that solves a specific, tangible pain point for an executive. An example is an 'AI board member' trained on past feedback to critique board decks before a meeting, making the value undeniable.

Position AI not as a cost-cutting tool but as the key to unlocking capacity for long-desired strategic projects. This framing increases team buy-in by focusing on expansion and agility, reduces fear of replacement, and makes the work more engaging.

Enthusiastic supporters (champions) are common for AI initiatives, but they often lack signing authority. The most predictive question for project success is identifying who will actually write the check for the production version, as this person is rarely the champion.

If your company lacks access to modern AI tools, don't see it as a blocker; view it as a leadership opportunity. Create a concise 'one-sheeter' outlining specific use cases, estimated hours saved, and productivity gains. Presenting a clear business case can turn hesitant leadership into champions for modernization.

When presenting to leadership, translate AI's impact into the two metrics they universally care about: growing revenue or reducing costs. This simple framing has a high probability of success, much like showing a Pixar movie to entertain children you don't know.

Instead of citing external studies, the most effective way to convince your organization of AI's value is to run a pilot project. Benchmark a common task's time and cost, measure the improvement using AI, and use that internal data to build an undeniable business case.

To achieve employee buy-in for AI, position it as a tool that eliminates mundane tasks no one would put on a resume, like processing Salesforce cases. This frames AI as a career accelerator that frees up time for strategic, high-impact work, rather than as a job replacement.

To persuade risk-averse leaders to approve unconventional AI initiatives, shift the focus from the potential upside to the tangible risks of standing still. Paint a clear picture of the competitive disadvantages and missed opportunities the company will face by failing to act.

To drive AI adoption in a legacy enterprise, begin with an internal tool that augments employee workflows. An "AI Sales Assistant," for example, keeps a human-in-the-loop, allowing the organization to gain confidence, measure tangible results, and build conviction before deploying AI directly to customers.