Services
AI and LLM implementation
Assistants that answer from your own documents, automate emails and reports, or classify and extract data, with review steps and cost controls built in.
Who it is for
- Companies with a repetitive process that eats hours every week
- Teams with large document collections that are hard to search
- Products that need an AI feature built properly
What's included
- Document Q&A (RAG) over your files, with sources shown
- AI agents that complete multi-step tasks with human review
- Email, report and data-entry automation
- Classification and data extraction from documents
- Cost limits, logging and evaluation tests
- Source code in your repository and a written handover
How it works
- DiscoveryOne call, a written scope and a fixed quote.
- PrototypeA working version on a sample of your data.
- ValidateAccuracy measured against cases your team checks.
- ReleaseProduction deployment, monitoring and handover.
Questions
Which AI models do you use?
Mostly Claude via the Claude API, chosen per task for quality and cost.
How is accuracy checked?
With a test set of real examples your team reviews; nothing goes live until results are acceptable.
What does it cost?
It depends on scope. You get a fixed quote after a free 30-minute call.
Tell me about your project
Describe the problem in a few lines. I reply within one business day with questions or a proposal for a free 30-minute call.