Capability
AI automation and agents that do the work, not just describe it
Working systems in production that run the repeatable parts of your operation, with humans kept in the loop exactly where judgement is needed.
Why this matters now
Most AI pilots stall between demo and production. They work in a notebook, fail on real data, and nobody owns them. The gap is not model quality. It is scoping, evaluation, and the plumbing nobody wants to fund.
Capabilities & Scope
- Opportunity mapping: which processes actually pay off when automated
- Custom automations and multi-agent systems wired into your existing tools
- Retrieval and knowledge systems over your own data
- Evaluation harnesses and guardrails, so you can tell when it degrades
- Full documentation and IP handover, with no lock-in
Who it is for
- Operations teams doing the same manual sequence dozens of times a week
- Businesses that ran an AI pilot and could not get it to production
- Founders who want to scale output without scaling headcount
Telemetry & Metrics
Hours returned
manual time removed per week
Cost per run
measured before and after
Error rate
tracked by the eval harness, not by feel
Read the detail
AI Automation HubAI automation is using AI to execute, route, and adapt multi-step workflows with probabilistic decisions, not fixed rule-based triggers. It is how you scale output without scaling headcount.
How engagements start
BuildWorking software in production, in weeks, with the IP yours.
Custom quote · fixed-price project · or monthly managed
