Applied AI and document intelligence
AI where it measurably helps: document intelligence, natural-language interfaces, search and agents, built into the workflow rather than added beside it.
Good fit when
- A large document set has to be read, indexed and cross-referenced.
- Staff answer the same questions from the same documents repeatedly.
- A review process has to show its sources.
- You need to prove where every output came from.
What we build
- Document extraction and indexing with every output pointing to its source page.
- Search and question-answering over your own records.
- Specialist agents that hand work to each other inside rule-based checks.
- Natural-language interfaces to your systems.
What you get
- Traceability as an acceptance test.
- A working version on your own documents early.
- Hosting in Canada or on your equipment.
- Handover.
How it runs
| Step | What happens |
|---|---|
| Scope | 1 to 2 weeks |
| Build | Fixed quote, working demos throughout |
| Acceptance | On criteria you set |
| Run or hand over | Your choice |
Price
Fixed quote after scoping. For professional services offices, start with the assessment on /services/ai-automation.
Our own business runs on this.
Our own requirements and compliance review engine reads full tender documents and checks every mandatory requirement against what we can show.
Every finding points back to the clause it came from, and a person approves before anything is submitted.
Questions
What if it makes something up?
Every output has to point back to its source, and if it cannot it does not say it. A person reviews and signs before anything leaves your office.
Which models do you use?
We choose per project and put it in writing. Your data never trains anyone’s model.
Can it run without an internet connection?
Yes, where the work needs it. We can run the system on hardware in your own office so your documents never leave the building.