We design and build production AI agents that don't just answer questions — they take action across your tools, with the evals, guardrails, and monitoring that make them trustworthy enough to run in production.
Most “AI” projects stop at a clever demo. An agent that looks impressive in a sandbox falls apart the moment it meets messy real-world data, edge cases, and the need to actually do something. We build for that moment.
A GMK agent is scoped to own a real workflow: it reads from the systems you already use, reasons over them, calls the right tools, and knows when to hand off to a human. As the work gets more complex, we orchestrate multiple specialized agents that pass structured context between each other rather than one over-stretched prompt.
An agent that owns one job end to end — triage, drafting, research, reconciliation — and does it reliably, every time.
Specialized agents that coordinate through structured handoffs, so complex work is split into parts that each do one thing well.
Agents that act through your real stack — APIs, databases, MCP tools, internal services — not just chat.
Automated evals on every change, guardrails on what an agent can do, and observability so you can see exactly what it did and why.
Agents that reconcile data, process documents, and clear repetitive queues that quietly eat your team's hours.
Triage, routing, and first-draft responses grounded in your knowledge base — with escalation to a human built in.
Agents that gather, synthesize, and summarize across sources, then hand a decision-ready brief to a person.
Tell us what you're trying to build. We'll give you an honest read on whether — and how — we can help, with a clear, fixed scope.
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