Useful AI. Built into the right workflow.
We start with a task and a quality criterion. AI belongs where it meaningfully improves the service.
WHAT WE BUILD TOGETHERAI
AI
in action.
A scoped use case, representative evaluations and a workflow with controls and fallbacks.
The problem to solve
A convincing demo is not a reliable feature. Cost, sensitive data, failure modes and human oversight need to be designed together.
Our approach
A scoped use case, representative evaluations and a workflow with controls and fallbacks.
What we can work on together
- LLMs and domain copilots
- Retrieval and RAG
- Agents and workflows
- Evaluation and automation
A clear methodology
- Discover. Understand the problem before proposing a solution.
- Validate. Test the assumptions that change the decisions.
- Design. Make the journey simple and the value visible.
- Build. Deliver reliable software, step by step.
Each phase ends with a deliverable and a decision: continue, reduce scope or test another assumption. The pace depends on the agreed scope.
Related product worlds
Exopreneur ↗
Guidance that follows the entrepreneurial journey.
Prepare the right decisions
- AI feature unit economics: measure cost per completed task
- Building an AI evaluation set for a SaaS feature
- Choosing a first AI use case for a SaaS product
- Choosing workflows to automate: start with the exceptions
- Document assistants: keep retrieved instructions separate from authority
- Human approval for AI actions: make the review meaningful
Frequently asked questions
Your idea.
Our next SaaS.
Tell us about your idea No technical brief needed. Just a problem worth solving.