Question 1

What is operational AI?

Accepted Answer

Operational AI answers real work questions across the systems your institution already runs (core banking, loans, payments, documents) and returns one sourced answer with every step logged. It is measured against outcomes: time to answer, audit completeness, records leaving your perimeter. Not chat volume.

Question 2

How does Kairn integrate with our existing systems?

Accepted Answer

Kairn interfaces with the systems you already run through their existing APIs. No migration. No rip-and-replace. No eighteen-month IT programme. First production deployments typically land in about eleven days.

Question 3

Can Kairn run fully on-premise?

Accepted Answer

Yes. The Sovereign tier runs the full stack inside your datacenter on frontier-class open weights. Data never leaves your perimeter; there is no per-token bill. Start read-only and expand on your timetable.

Question 4

Does Kairn train on our data?

Accepted Answer

No. Kairn does not train on customer data. On managed deployments, the Veil gateway anonymizes PII before anything reaches a model: tokenized in, restored out. Memory and execution are segmented per user and per tenant.

Question 5

Who approves actions before anything is sent or written?

Accepted Answer

Kairn reads and drafts by default. Anything that commits the institution (a record change, an external send) waits for a named approver. Every run is logged end to end, the human step included.

Question 6

Can agents run on predefined tasks without human prompting?

Accepted Answer

Yes. For work you scope in advance (queue monitoring, surveillance runs, reconciliation checks, exception triage), agents can run in full autonomy without waiting on a human prompt. Your team sets the systems, boundaries, and escalation rules upfront; every run is logged so you review outcomes, not chat volume.