What agentic AI actually means.
Start with one of these product types.
An experimental bank operated by agents — the clearest expression of agentic AI in production.
See a full multi-agent build: architecture, code, compliance — generated across 9 gated stages.
Agents handle high-risk AI under the EU AI Act — with the human gates that make it shippable.
Watch specialised agents produce a licensed-cover product end to end.
Questions we hear often.
What is agentic AI, in one sentence?
Software in which multiple specialised AI agents plan, act, use tools and review each other's work to complete a goal — coordinated by an orchestrator — rather than a single model responding to a single prompt.
What's the difference between an AI agent and a multi-agent system?
An agent is one model looping tool-calls toward a goal. A multi-agent system divides the work among specialists (e.g. architect, coder, security, compliance) and coordinates them, so each is simpler, more reliable, and independently checkable.
Is minctrl built on LangGraph?
Yes. Minctrl's orchestration layer is a LangGraph state machine — a fixed pipeline of stages with checkpoints and security gates — coordinating 28+ Claude agents across three model tiers.
How do you keep autonomous agents safe and auditable?
Two ways: human-in-the-loop gates between each of the 9 stages, and a complete, replayable audit trail of every agent decision, cost and approval. Determinism plus human sign-off is what makes agentic output shippable in regulated markets.
How is this different from a chatbot or copilot?
A copilot assists a human writing code. An agentic system does the engineering work itself — planning, building, testing and documenting — and hands a human the finished, gated product to approve.
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