For Partners

For advisory and incident response partners

For firms who have to be comfortable recommending a production AI deployment, and who will be called when one goes wrong.

What you can recommend

Your client is asking to move agents into production against real data. Prompt and usage controls lower the probability of a bad request. They do not tell you what reached the data. We produce that record, so the residual risk you are being asked to accept becomes something you can measure.

What you get in an investigation

When you are called in, the first question is scope. Today that answer is assembled from an application log showing a connection, a platform record showing a truncated result, and a database log showing one shared service account. We give you the statement as executed, the rows returned, the columns read, and a signature that shows the record was not altered afterwards.

How a pilot works

One client, one PostgreSQL estate, one non critical service. Deployment is a connection string change. Nothing is blocked in the first phase. The output is a report on the client's own traffic, written for whoever signs the risk acceptance, and it states the share of traffic we could not classify rather than leaving it out.

Recommend it with a record you can measure.

Bring us a client, a PostgreSQL estate, and one non critical service to start.