Agent paths multiply
Teams build agents with different SDKs, frameworks, browsers, and enterprise platforms. Each path can develop its own control model.
For technology and AI leaders
When an agent takes an action, someone has to sign off. VeriProof keeps the rule, authorized reviewer, application response, and evidence connected.
Model quality still matters. It does not answer who may approve an exception, which rule applied, or what the agent did next.
Teams build agents with different SDKs, frameworks, browsers, and enterprise platforms. Each path can develop its own control model.
An approval in email or chat may not show who had authority, what they approved, or whether the application followed the decision.
Technical traces help teams diagnose a system. They do not, by themselves, connect policy, review, action, and outcome.
One operating model
VeriProof applies a common governance process across supported agent paths without replacing your AI, cloud, workflow, or monitoring platforms.
Check the proposed action against the rules and business context that apply.
Send an exception to an authorized person with the context needed to decide.
Return a clear decision so the application can continue, change course, pause, or stop.
Keep the policy, review, application response, and outcome together for later review.
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.

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