Everyone is telling you to add AI. Nobody is telling you where it actually pays.
In one week, an engineering team that ships AI products maps where AI fits your product, your data, and your operations, and where it would just be an expensive demo. You get a written plan ranked by payoff, cost, and risk.When you need this
The board is asking
"What's our AI strategy" is on the agenda and you need an answer grounded in your actual product and data, not a trend piece.
You have ideas, not priorities
Five places AI might help, budget for one. You need them ranked by what they return, what they cost, and what they risk.
You suspect the hype
You want someone technical to say "not here, not yet" where that's the truth, before a vendor says yes to everything.
What you walk away with
A decision document, not a trend report. Every recommendation is specific to your product and priced in effort.
- An AI opportunity map for your product, the specific workflows and features where AI applies, each ranked by payoff, effort, and risk.
- A data readiness read, what your current data supports today, and what would need to change before the more ambitious use cases work.
- The "not yet" list, the use cases we recommend against, with the reasons written down. The list a vendor pitch will never hand you.
- A recommended first move, the single highest-return step, scoped tightly enough to ship and measure before you commit further.
- Cost and effort estimates per opportunity, so the conversation with your board or team is about numbers, not hunches.
How the week runs
Context
Working sessions on your product, your workflows, and your data. If a codebase exists, we look at how the product is actually put together.
Assessment
We evaluate each candidate use case against your data, your stack, and current AI capability, and price the realistic ones in effort.
Readout
You get the written assessment and a live walkthrough. You leave knowing your first move, your later moves, and what to ignore.
We build AI products for a living, and this assessment is still built to say no where the case is weak. An assessment that always says yes is a sales document. This one is priced to be worth doing even when the answer is "not yet".
Questions we get
Do we need to be technical to get value from this?
What if our data isn't ready?
Is this tied to a specific AI vendor or model?
What happens after the assessment?
One week. $2,500. A straight answer on AI.
Tell us what your product does and where you think AI might fit. An engineer who ships AI products will reply with whether the assessment makes sense for you.
Free quote