For technology and AI leaders

Your agents can act. Getting them approved for production is the harder problem.

When an agent takes an action, someone has to sign off. VeriProof keeps the rule, authorized reviewer, application response, and evidence connected.

The operating gap appears when AI starts to act

Model quality still matters. It does not answer who may approve an exception, which rule applied, or what the agent did next.

Agent paths multiply

Teams build agents with different SDKs, frameworks, browsers, and enterprise platforms. Each path can develop its own control model.

Human review separates from the action

An approval in email or chat may not show who had authority, what they approved, or whether the application followed the decision.

Logs stop short of proof

Technical traces help teams diagnose a system. They do not, by themselves, connect policy, review, action, and outcome.

One operating model

Govern the decision path, not only the model

VeriProof applies a common governance process across supported agent paths without replacing your AI, cloud, workflow, or monitoring platforms.

  1. Evaluate intent

    Check the proposed action against the rules and business context that apply.

  2. Coordinate review

    Send an exception to an authorized person with the context needed to decide.

  3. Return decision

    Return a clear decision so the application can continue, change course, pause, or stop.

  4. Preserve proof

    Keep the policy, review, application response, and outcome together for later review.

One governance model across supported agent paths

Use a common rule, authorized-review, application-response, and evidence process across supported paths.

See the decision behind a checked action

This maintained reference example uses synthetic data in Copilot Studio. A user asks to approve a loan, and the lending service checks the current facts against policy before changing the record.

The lending service records the policy result and provides the evidence link.

Review the worked example. Teams ready to put a governed workflow into production can also review the founding customer program.

Start with one consequential workflow

Choose an agent action where a rule, authorized review, or evidence affects production approval. We will review its current decision path against the four questions in a 30-minute working session.