
Reconciliation breaks, payment investigations, LC checks, portfolio reviews: investigated end-to-end, drafted for approval.
Operational AI
AI that performs, and can prove it.
See it work
Reconcile this MT940 to our nostro. Clear the matches. Put the breaks on my queue ready to send.
Cleared 1,198 exact matches — auto-reconciled to nostro ledger, logged
Done · loggedClosed 44 under rule — timing soft-match, charge netting, gpi in-flight park
Done · loggedDrafted 5 MT199 queries to correspondent — 2 possible duplicates · 3 amount breaks
Awaiting your approvalHeld 5 open breaks — EUR 1.84M, on your queue with gpi + :61: trace
On your queueThe console
The same agents you just watched, running across an institution's queues — each call, decision, and hand-off logged to a console your team and your auditors can read.
What you just watched is the product: six systems read in one pass, every step logged, nothing sent without a person's approval.
8 sec
question to sourced answer. The same lookup takes a specialist twelve minutes across five screens.
0
customer records leaving your perimeter. On-premise, behind your keys.
11 days
OpenAPI spec to production, first deployment. No migration.
The stack
Seven layers.
One stack.
SOVEREIGN
Your datacenter, your perimeter.
Kairn enters through the wall you care about. The whole stack below runs inside your infrastructure, air-gapped if that is your policy. There is no phone-home to remove; it was never built in.
Wherever someone checks several systems to answer one question, the work looks the same.

Reconciliation breaks, payment investigations, LC checks, portfolio reviews: investigated end-to-end, drafted for approval.

Claims context assembled across policy, history, and documents before an adjuster opens the file.

Exception queues cleared across operational systems: one sourced answer for the control desk, not a dashboard to interpret.
Our position
Kairn stands on what you already run and supplies the one thing it lacks. Your experts keep the judgment. The machine takes the gathering, and writes down every step.
Kairn never hands you a conclusion to trust on faith. Every answer arrives sourced, every step visible, ready to be challenged. You stay accountable. That is the point.
We use AI where it's measured, and nowhere else. That restraint is the product.
↳ Request the security overview
ISOLATION
Memory and execution are segmented per user, per tenant. A conversation can never read another's context. The boundary is structural, not a permission.
TRACE
Every tool call, every decision, logged at the moment it happens: source, timing, result. Export to your SIEM. The audit trail is the architecture.
VEIL
On managed deployments, PII is anonymized at the gateway before anything reaches a model: tokenized in, restored out. Zero training on your data.
HUMAN GATE
Anything that commits the institution (a record change, an external send) waits for a named approver. A boundary you can show a regulator.
Zero training on your data. Per-user isolation. Full audit trail. Your keys, your models, your perimeter.
SOVEREIGN
Fully on-premise on a frontier-class open model. Data never leaves the building. No per-token bill. Start read-only, expand on your timetable.
BANKS · INSURERS · GOVERNMENT
SHIELDED
Managed by Kairn. The Veil gateway anonymizes PII before it reaches a model. SSO, full audit trail, per-tenant memory.
CORPORATES · MID-MARKET
CLOUD
One connection and your existing app gains memory, orchestration, and intelligence. Live today, usage-based, start free.
BUILDERS · SMEs
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.
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.
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.
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.
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.
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.
Next step
A 30-minute walkthrough on your numbers: the systems your team checks, and what one answer in seconds is worth.
Reply within one business day.
