The candidate list
Every automatable workflow in the business, named and ranked, not a category-level guess.
Services / 01
AI strategy consulting
A ranked, costed view of where AI pays back in your business, and where it does not. You leave with a written roadmap whether or not we build any of it.
Where it pays off
Four places this earns back fastest.
Payback per project
Hours, error rate or cost attached to each candidate, so sequencing is an argument about numbers.
The things to skip
Where AI is the wrong tool and a process change is cheaper. Usually a third of the list.
A case you can take upstairs
A written assessment your CFO can read without translation, yours whether or not we build it.
What ships
Everything you need to run it without us.
The working build
Deployed in your environment, monitored, with a way back if it misbehaves.
A way to check it
The tests and measures that prove the work is right before anyone relies on it, and keep proving it after.
Runbook and training
Two sessions with the team who owns it after we leave.
Source code
In your repository, under your licence. No lock-in, no black box.
FAQs
Straight answers.
What does it cost?
Most first engagements land between a four-figure fixed fee and a small phased build. You get the number after the assessment, before any commitment.
Do you need our data first?
No. The assessment works from interviews and sample records. Nothing leaves your environment until there's a signed scope and a DPA.
What if it does not work?
We agree what good looks like before we build, and measure against it as we go. If the work cannot clear that bar, we stop and say so.
Who owns what you build?
You own it all: code, prompts, models and documentation, in your repository. We keep nothing you cannot run without us.