Why We Only Do Fixed-Fee AI Engagements
Retainers are good for consultants and bad for clients. Here's the philosophy behind how we scope and price our work — and why it changes the relationship.
What's Wrong With Retainers
I've worked inside organizations that hired consultants on retainers, and I've talked with a lot of business owners who have too. The experience is remarkably consistent: the first month or two are productive, the deliverables come in on time, there's real energy. Then things slow down. The consultant finds reasons to keep the engagement going. The work starts to expand to fill the hours rather than the hours contracting to fit the work.
This isn't always bad faith. It's just incentive structure. When you pay someone by the month, their financial interest is in continued monthly payments. When you pay for a defined scope, their interest is in completing that scope well enough that you hire them again for the next one. Those are different incentives, and they produce different behaviors.
What a Well-Scoped Engagement Looks Like
Every engagement we do starts with a clear answer to three questions:
- What specific problem or opportunity are we addressing?
- What does success look like when we're done?
- What are the deliverables, and when will they be complete?
A good AI engagement for a small business might look like: an AI Readiness Assessment to identify the two highest-value use cases, followed by a workflow design engagement for the top use case, followed by a training session for the team on that specific workflow. Each piece has a fixed scope, a fixed price, and a defined end point. You know what you're getting before you agree to anything.
How Clients Benefit
Beyond knowing your total cost upfront, fixed-fee engagements create a useful forcing function on both sides. The client has to be clear about what they actually need before the work starts. The consultant has to be honest about what's feasible within the scope rather than overpromising and extending.
I've found that the scoping conversation itself is valuable. When a business owner has to articulate specifically what they want to accomplish and why it matters, they often get clearer on the problem than they were before. That clarity makes the actual engagement more productive.
What This Means Practically
We turn down work that isn't scoped well enough for us to quote honestly. If someone calls wanting "ongoing AI consulting," the honest answer is that I don't know what that means yet — and neither do they. I'd rather spend an hour figuring out what they actually need and quote a defined engagement than take a retainer and figure it out as we go at their expense.
When we finish an engagement, there's no awkward conversation about whether to renew. The work is done. If they have a next problem we can help with, we scope that separately. If they don't, they go use what we built together and call us when something new comes up. That's a relationship I'm comfortable with.
David leads client engagements and company strategy. He focuses on translating AI capability into practical, measurable outcomes for business teams — not theoretical frameworks.
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