Agent Foundry is where enterprise AI agents become certified operational capacity — purpose-defined, context-loaded, guardrailed, evaluated, and re-certified on a schedule. Not a chatbot. A regulated asset on your books.
Our point of view
Every enterprise now has the same models, the same vector stores, the same frameworks. The differentiator is no longer the software — it's the operational maturity of the agents you can put into the field, certify, and stand behind.
A trained agent is not a prompt. It is a purpose, a context library, a set of guardrails, an evaluation record, and a signed certification — held by a named owner, attached to a business outcome, and re-certified on a calendar.
The companies that win the next decade will be measured not by the systems they own, but by the size and maturity of the agent fleet they can safely deploy.
The Foundry Method
Every agent that leaves the Foundry has moved through the same pipeline — the same artefacts, the same reviewers, the same certificate. It is what makes an agent a regulated asset instead of a demo.
Write the agent's single-sentence purpose. Name the owner. Define the outcome it is accountable to.
Attach the domain knowledge, the tools, and the skills the agent needs — nothing more, nothing less.
Encode what the agent must never do. Approvals, escalations, prohibited data. The safety envelope.
Run the evaluation suite: factual, tonal, adversarial. Measure until the numbers hold across cycles.
Issue the signed certificate. Register the agent. Publish it to the fleet. Schedule re-certification.
Maturity model
The Aivability maturity model classifies every agent in your fleet by the level of autonomy it has earned. You move an agent up only when the evaluation record justifies it.
A human initiates and reviews every action. The agent accelerates the human, never replaces the decision. Where every certified agent begins.
The agent executes bounded workflows end-to-end within pre-approved guardrails and escalates on the exceptions it was trained to flag.
The agent operates a defined operational domain with named accountability, budget authority, and continuous evaluation. Rare, and never rushed.
Governance
An AI agent without a named human owner is not an asset — it is a liability waiting for an incident. Agent Foundry makes accountability a first-class object: every agent has an owner, every action a log, every certificate a signature.
Every agent has one human owner. Ownership transfers require a formal handover event.
Every read, every decision, every guardrail trigger — signed, timestamped, exportable.
Sensitive actions route to a designated reviewer before execution. Configurable per skill.
A signed certificate accompanies every deployment. Expires. Renews. Cannot be forged.
Commercial model
You don't buy a subscription to a model. You commission an agent, you govern a fleet, you re-certify on a schedule. Three lines. No surprises.
A fixed-scope engagement to move one agent through the five-stage Foundry Method to first certification.
A subscription that keeps the audit trail, approval workflows, and evaluation pipeline running across your fleet.
A structured re-evaluation cycle. Because an agent's context, guardrails and business goals move — and the record must move with them.
Ten certified and in-flight agents are already loaded in the demo Foundry. Walk the registry, open an agent, review the audit trail — the way your board will.