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AI Agent Development for Business
We design and ship AI agents you can trust with operations: contracts, state, handoff to humans and predictable cost.
An AI agent is worth building when it takes on real operational work, not when it “chats”. We design and ship agents you can trust with a process: explicit input/output contracts, observable state, access to the systems they need, and handoff to a human where the cost of error is high.
What we do
We dissect a specific process, identify what repeats and can be verified, and build the agent around it: classification and context gathering, actions through tools and integrations, result checking, escalation to a human by an explicit rule. Unique and high-risk decisions stay with people — that’s the line, not a gap.
How it works
A short process audit → designing the loop (steps, contracts, control points) → an agent with a human in the loop and observability → measuring the effect on real data → scaling on the same frame to adjacent processes. Every step is traceable: for any answer you can see which context was supplied and why a decision was made.
What it delivers
On repetitive processes — reduced routine workload and coordination overhead (order of magnitude: tens of percent, measured per process before and after). Not “replacing people” but removing repetitive coordination: operations scale without linear headcount growth.
Why Carbonfay
We’re an engineering company: we build AI as infrastructure, not a demo. The agent we deliver has contracts, observability and predictable economics — operable and extensible, not rewritten after the first non-standard case. See the engineering cases and our approach to multi-agent systems.