Service
Custom AI Systems
Software shaped around your checklist, your data, and the two or three tools you already pay for — when a standard product does not fit the rule.
The problem
Off-the-shelf AI tools assume a generic office. Your exceptions, approvals, and wording are the actual product.
Who it is for
Companies with a rule-heavy desk — reviews, intake, or internal answers — that a generic seat license does not cover.
Use cases
A review desk
Documents are checked against your checklist, with each miss shown to a reviewer.
Answers from your material
An internal tool answers from the sources you approve and shows where the line came from.
Between two systems
The system sits between tools you already run, instead of asking the team to adopt a third inbox.
Deliverables
- A working system exercised on your real samples.
- Permissions, a log, and a plain note on what data leaves the tool.
- Documentation your staff can follow without a workshop.
Limits
- We do not train a public model on confidential files.
- We will say so if a checklist and a database solve the job without a model.
- We do not promise a return figure before the pilot has run.
How it runs
01
Name the rule
We write the checklist the system has to follow.
02
Use real samples
The build is judged on your material, not on a slide.
03
Record the data path
You can see what is stored, what is sent, and what is refused.
04
Document the desk
The people who use it get a short operating guide.
Questions
Do we have to change our stack?
Only where the current stack blocks the job. The preference is to sit beside the tools you already have.
Who owns the system afterwards?
You do. The handoff includes access, the operating note, and the limits. We do not keep a lock on the work.