Shared Knowledge
Governed AI agents. Clear authority boundaries.
What this is
We design governed AI agents that enforce procedures, support decisions, and refuse unsafe actions. These are governed operational systems built to operate within explicit authority boundaries. Each agent is defined by what it is allowed to do, what it must never do, and how it behaves when information is missing or risk is unclear. Where appropriate, agents log actions, request confirmation, and escalate to a human instead of guessing. The goal is predictable performance, reduced operational risk, and clearer decision-making. You get automation where it is safe, and refusal where it is not — with the boundary visible and documented.
How intake works
Front-of-House exists to classify intent and consequence before any delivery is proposed. It clarifies what outcome you want, what the agent would touch (data, systems, people), and what the failure modes look like if something goes wrong. From there, we assign a responsibility tier and determine whether straightforward delivery is appropriate, or whether a short discovery phase is required to define constraints, testing requirements, and refusal criteria. Discovery is used when risk or ambiguity makes guessing unacceptable. You will always know what tier you are in, what is considered in-scope, what is explicitly excluded, and what safeguards exist. If something cannot be done safely, the system will say so early — before time or money is wasted.
Front-of-House
Our Front-of-House agent is here to answer questions about how our system works and help you determine the right next step.
You can explore freely, or begin a more structured intake conversation by answering a few project-specific questions.
No commitment. No obligation. Just structured clarity.
Talk to FOH AgentPrefer writing? Submit a written enquiry