Do you only advise, or do you build?
Both, and that is the point. A strategy engagement can end at the roadmap if that is genuinely what you need. Most clients continue into implementation with the same people who ran the assessment, so nothing gets lost in the translation between what was recommended and what gets shipped.
How does an engagement start?
With a paid diagnostic. We map the process, quantify what it currently costs, and identify where automation changes that number. You receive a written assessment and a fixed-price implementation proposal. Taking the assessment and stopping there is a legitimate outcome, and it happens.
What happens when the AI gets something wrong?
It will, which is why systems are designed around that assumption rather than in spite of it. Anything touching customers, money, or records passes through a human approval gate unless you explicitly decide otherwise. Every run is logged, so when something looks wrong you can inspect what the system did and why.
Do we get locked into your tooling?
No. You own the accounts, the credentials, and the source. We work inside the tools you already pay for wherever that is possible. If you end the engagement, the systems keep running and another team can pick them up from the documentation.
Can we speak to a reference?
Yes, once an engagement is genuinely being considered. We do not publish client work without written approval, so what we can show publicly lags well behind what we have done. On a call we will walk through relevant work in specific detail, including what went wrong and what we would do differently.
What size company do you work with?
Small to mid-market businesses, typically. Large enough that process volume makes automation measurable, small enough that the person with the problem is close to the person with the budget.
