Validate what they output
We validate what the agents and models output — before a wrong answer reaches a client’s customer.
Where the risk is
The systems you can’t sign off on.
Each of these acts inside a process you deliver for a client — and none of them is defensible the way it stands today.
A support agent handling client conversations that can answer wrongly at scale
A document- or claims-processing model whose errors flow straight into a client’s system of record
An automated decision (eligibility, routing, prioritisation) no one reviews until a downstream break
A vendor or sub-processed model embedded in a delivered process that was never independently tested
Where the exposure comes from
Their regulator’s question becomes your evidence problem.
The exposure is contractual and reputational before it is statutory — SLAs, data-protection obligations (DPDP/GDPR) on the client data you process, and sector rules that follow the work when you operate for a regulated client.
When you run a process for a bank or insurer, their AI obligations extend to your delivery. Their regulator’s question becomes your evidence problem.
What we assure
Prove the outsourced process is under control.
We assure the AI inside delivered operations — validate what the agents and models output, control the actions that touch a client’s customers and records, and produce the evidence that lets you prove to a client the process they outsourced is under control.