Ask your payment traffic a question. Get an answer with evidence.
AI analysis of approval rates, chain retries and routing — running on models inside the payment platform. Your data never leaves the platform.
- data stays in the payment platform
- numbers only from tools
- read-only: nothing changes in processing
And this is how the turn ends
Three paragraphs in a fixed order — what happened, why, what to do — and, where the data supports it, the exact row to change in the cabinet.
Routing recommendation
Move this route to another gateNo money figure is attached: the two gates stand at different positions in the chain, and an uplift computed across them would not be honest.
Same recorded turn · project name redacted, gates named from the configuration map
Three steps, and the third one is the point
- 01
Ask in your own words
No query builder, no parameters. "Returning customers stopped getting through — where does it break?" is a complete question.
- 02
The model calls tools one by one
Read-only MCP tools against processing data. The turn follows the analyst’s route, and you watch it move:
- 1Is there a problem
- 2Where it comes from
- 3What to do
- 03
Every card opens down to the raw answer
Numbers are drawn from the tool response, not from model prose. Open any card to see the exact call and the JSON it returned.
Private by architecture, not by promise
The analysis happens where your payments already are. No transaction data crosses the boundary of the payment platform — there is no outbound call to make.
- Models run inside the platform
- Weights are hosted on the payment platform’s own hardware.
- No third-party AI providers
- Nothing is sent to Anthropic, OpenAI, Google or DeepSeek. Not prompts, not results.
- Isolated per tenant
- Every tool call is scoped to your own projects. You cannot see another merchant, and neither can the model.
- EU data residency
- Data stays where your processing already lives.
