Agents drift, and nobody sends a memo
An AI agent is not a fixed program. What it does in production depends on its instructions, the permissions of the user it runs as, the knowledge it retrieves, the flows and code it calls, and the model behind it. Every one of those can change without the agent's owner being in the room:
- A permission set is widened by another team for an unrelated project
- A knowledge article the agent quotes from is edited
- A flow the agent calls is changed upstream
- A prompt or topic is edited during a quick fix
- The vendor swaps or retires the underlying model
None of these show up as a failed deployment. The agent keeps answering. It just no longer does what was approved, and the first person to notice is usually a customer or an auditor.
Approval is a document, not a meeting
Most organisations approve agents in a meeting: someone demos it, someone nods, it goes live. Huscribe starts from a different premise. The customer's people write down what the agent may and may not do, and sign it. That approval is kept by version, and every check Huscribe runs is compiled from it. When the agent's behaviour is questioned later, the answer is not a recollection. It is a signed document and a report comparing the two.
One register, one row per agent
Huscribe keeps a register of every agent a team is accountable for. Each row answers the same questions:
- Who owns it: a named business owner and a named platform owner. No owner is the first finding.
- What it was approved to do: the signed approval, by version.
- Whether it still does that: inside approval, outside approval, or not inspected. Nothing is green by default.
- What changed last, and where the change came from.
- Where the evidence is: reports in your Git, readable without Huscribe.
Rows change on events: a check runs, a change lands, a finding is raised. Nobody has to sit and watch a dashboard for the register to be true.
When a check fails, you get a finding, not a ticket
A failed check becomes a finding: the check that failed, the evidence quoted from the report, the proposed cause, and the smallest change that would make the check pass. The agent's owner decides. The customer's team ships the change through its own release process. Huscribe checks again. Huscribe never deploys, for any customer. That boundary sits in the agreement, not just on the website.
Why this matters now
Teams are moving from one carefully watched pilot agent to a fleet: agents built in Agentforce, agents built by vendors, agents on other platforms that read and write the CRM. The watching does not scale. A register with signed approvals, scheduled inspection, and evidence-backed findings does. That is the whole product: release, inspection and repair for AI agents, Salesforce and Agentforce first.
If you want the longer argument, we make the case for the register in why identifying and monitoring AI agents matters, and walk the whole route from signed approval to scheduled inspection in how to build agents on Salesforce using Huscribe.