AI agent governance that gives you proof buyers can inspect
You build capable agents, but clients and compliance stakeholders need credible evidence of what governs their work. Constance gives you a current, inspectable record of the sources, claims, and constraints each agent is allowed to rely on.
Building an agent is not the same as proving it is governed.
An agent can sound grounded while relying on an outdated page, an unsupported claim, or a rule nobody made explicit. Most teams can show how an agent was built, but not what it was allowed to trust or which business rules stayed fixed. Without explicit AI agent guardrails and a repeatable verification record, those failures are hard to spot and harder to explain to a client, buyer, or compliance stakeholder.
Draw the boundary. Verify what enters it. Keep it current.
Define the Box
Constance maps the approved sources, business rules, and limits an agent must work within. It makes the boundary around judgment explicit and inspectable, while leaving the actual judgment to the agent and its operator.
Verify Before It Counts
Before a claim counts, three separate verifiers check where it came from, what evidence supports it, and whether it matches the project's official source. Each verifier runs blind in a fresh context, without access to the conclusion the agent wanted.
Build on Verified Blocks
A passing claim earns a verification stamp and becomes a fixed building block. Future work can build on what is already established instead of reopening settled claims, creating a growing record that stops drift.
Keep Authority Current
Each project names its official sources in an authority registry and turns business rules, such as a margin floor or required step, into concrete constants. Volatile sources expire on a set schedule and return for verification. Stable sources remain until the project changes.
For teams that must prove AI agent reliability.
Constance is for AI consultants, AI agencies, and internal teams shipping agents into real work. Use it when a client, buyer, or compliance stakeholder needs a clear account of the agent's approved sources, fixed rules, and current boundaries. You keep building and operating the agent. Truline applies Constance to make the governance record legible without taking judgment away from you.
- Show which claims an agent can rely on.
- Make fixed business rules visible and checkable.
- See which sources are current and which need review.
- Give stakeholders an inspectable record of the governance boundary.
What buyers ask about agent governance.
What is AI agent governance?
AI agent governance is the practice of defining and maintaining the sources, rules, and boundaries an agent must use. It gives the people responsible for the agent an inspectable record of those constraints without taking judgment away from the agent or operator.
How does Constance verify an agent's claims?
Before a claim counts, three independent verifiers check its provenance, supporting citation, and agreement with the project's canonical official source. This AI agent verification process runs each check blind in a fresh context, then stamps passing claims as verified.
Does Constance make decisions for the agent?
No. Constance defines and maintains the constraints, sources, and constants within which judgment must operate. The agent and its operator still make the judgment.
How does Constance handle changing information?
Each source is treated according to how quickly it can change. Volatile sources expire on a set schedule and return for verification, while stable sources stay in place until the project changes them.
New to the category? Start with what an AI agent is or the guide to building one.
Make Trust Inspectable
Give every agent you ship a boundary stakeholders can inspect.
Tell us what your agent does, which sources it relies on, and which rules must stay fixed. We will review its governance boundary and show you where Constance fits your delivery process.