Who this is for
Organisations with a specific, valuable, bounded agentic use case already identified — a support workflow, a document-processing pipeline, an internal operations task — that has stalled in proof-of-concept because nobody has built the governance layer around it.
This is not a general-purpose AI strategy engagement; it's a focused delivery accelerator for one use case, designed to prove the governed pattern works before you invest in scaling it further.
What we deliver
A task-scoped permission model for the agent's tool access, a deterministic controller separating planning from acting, an evaluation harness built against your specific use case (including an adversarial test set), and defined human-approval checkpoints calibrated to actual risk rather than blanket caution.
The pilot runs against your real systems, with real data, under real governance — not a sandboxed demo environment that has to be rebuilt before it means anything in production.
Engagement model
A fixed-timeline engagement (typically six to ten weeks depending on use-case complexity) ending in a working, governed pilot plus a documented architecture and evaluation framework your own team can extend to the next use case independently.
We scope this engagement after an initial discovery call to confirm the use case is a genuine fit — not every agentic idea is ready for this accelerator yet, and we'll tell you honestly if yours needs more groundwork first.
An agent's role tells you what it is allowed to be. This accelerator is how you prove, with evidence, what it will actually do.MNB Technology
What this guarantees
- Scope one bounded, valuable use case, not a general AI strategy
- Build the permission model and controller before scaling the demo
- Include an adversarial evaluation set, not just happy-path testing
- End with a governed pilot your team can extend independently