Services · AI implementation
AI implementation and integration, scoped in writing
We put AI to work on your own information: private assistants, document search, and the right model for each task. The written scope names the systems involved and how the AI connects to them.
What is AI implementation?
AI implementation is putting AI into everyday operation in a business: choosing the model for each task, connecting it to the business information and systems it needs, checking its output, and running it. Integration is the part that connects it to those systems.
What you get
Who it’s for
Teams that already know what they want AI to do and need it connected, checked and running.
- 01Private assistants and document search that work on your own information
- 02The right model for each task, picked automatically, with the option to choose
- 03Agents on phone and WhatsApp that use only approved information
- 04A written scope that names the systems involved and how the AI connects to them
- 05Output checks, runbooks and recovery procedures, and we operate it after launch
What we put in place
Private assistants
Assistants that work on your own information.
Document search
Ask a question across your documents and get an answer from them.
Model routing
The right model for each task, picked automatically.
Agents
Phone and WhatsApp agents that answer from approved information.
Integration is scoped, not assumed
Which systems the AI connects to is part of the written scope. We say in writing what we will connect, how, and what is out of scope, so there is nothing to discover after the build starts.
The right model differs by task: a fast model for short answers, a reasoning model for hard problems, a long-context model for long documents, a vision model for images and scans. We route each task to the right one.
How it works
A 30-minute call
We map the problem and decide together whether it is a product or a custom build. It is free.
A written scope
Nothing is built before both sides agree, in writing, on what done means. Custom work is quoted in writing.
Built, then operated
You see the work before launch. Every build arrives with a runbook, a recovery plan and a changelog, and we keep it running.
Pricing
The first call is free. Custom work is quoted in writing before anything starts. Pricing depends on scope and volume, and we quote it in writing.
Questions
- What is AI implementation?
- It is putting AI into everyday operation: choosing models, connecting them to your information and systems, checking output and running it.
- What does AI integration mean?
- It means connecting the AI to the information and systems it needs. We name those systems in the written scope.
- Which systems can you connect?
- That is decided per project. The written scope states what we connect and how, and we do not promise integrations we have not scoped.
- How do you check the AI output?
- Measurable things are scored by script. Judgment calls are scored by one model and re-checked blind by a model from a different vendor.
- Do you operate it after launch?
- Yes. Maintenance and improvements continue after launch, with one accountable owner.
Bring us the problem
Book a free 30-minute call. We tell you whether a product already fits or whether it needs a custom build, and we put the scope in writing.