AI consulting
AI in real processes, not in presentations.
We help evaluate where AI makes sense, how to integrate it safely into existing software, and how teams can use Claude Code and similar tools without losing control of quality.
Where we help
- AI adoption strategy and use case selection.
- Claude Code, Codex, and AI coding workflows for teams.
- Multi-agent systems when the work truly needs coordinated roles.
- Guardrails, evaluations, testing, and human-in-the-loop checks.
- Integrations with existing applications, APIs, and internal tools.
What the team keeps
- A clear plan for where AI enters the process and where it does not.
- Rules for security, review, data, and accountability.
- Workflow examples the team can repeat.
- Documented decisions, risks, and success criteria.
Who this is for
For product and engineering teams with a concrete process, existing codebase, or business workflow where AI can reduce manual work, improve quality, or speed up decisions.
Process
- We map the process, data, risks, and expected impact.
- We build a small proof of value with clear criteria.
- We add guardrails, tests, logging, and ownership.
- We hand over documentation, workflows, and recommendations for scaling.
Related: engineering productivity and privacy and quality.