Ops Copilot
Natural-language query of the live ledger and audit chain. “Show failed SARIE payments grouped by reason in the last 2 hours.”
- Home
- AI-native
AI-native by design
AI is a platform layer, not a bolt-on.
KORE was designed with AI as a first-class layer. Every feature — today's and tomorrow's — flows through the same event-first, tenant-isolated data plane that copilots and decisioning agents need.
Why architecture wins
Bolt-on AI reads yesterday's data. Platform AI reads the truth.
When AI is glued onto a batch core, it works from extracts — stale, partial, unaudited. On KORE, AI reads the same live event spine that moves the money. The advantage compounds: every module you adopt makes every AI use case better.
AI & decisioning layer
Copilots · decisioning · customer-360 chat · document AI · anomaly detection. Compose on top of the platform — not glued onto it.
The KORE platform
40+ business modules · real-time ledger · tamper-evident audit · open SDK · event spine — the engine that runs the bank.
AI-ready data & event plane
Every state change is a structured event. Every entity is queryable. Every transition is auditable. Vector store and entity graph ready for embeddings from day one.
Use cases
Where AI shows up in KORE.
Credit decisioning
Explainable scoring on the same data plane that runs the loan — with regulator-grade audit of every decision input.
AML & anomaly detection
Real-time scoring on the event spine. Alerts inherit the same audit chain as the underlying transactions. Compliance modules.
Customer-360 chat
Every answer grounded in audit-truth — balances, history, relationships — not training-data hallucinations.
Document understanding
KYC documents, signed contracts and regulator filings — parsed, tagged and linked into the entity graph.
Yours to compose
The same APIs, events and SDK that power KORE's copilots are open to your engineers — build your own use cases on the contract.
Grounded & governable
AI your auditors can live with.
- Grounded in audit-truth. Answers come from your live, validated records — not model memory.
- Every input audited. AI-assisted decisions carry the same tamper-evident chain as the money.
- Tenant-isolated. Your data stays inside your tenancy and governance boundary — it is not used to train shared models.
- Human in control. Maker-checker and approval workflows apply to AI-suggested actions like any other.
FAQ
AI on KORE, in plain terms.
What makes a core banking platform “AI-native”?
It's an architectural property, not a feature list. An AI-native core structures every state change as a queryable event and keeps every entity in a clean, tenant-isolated data plane — so copilots, decisioning and detection compose on the platform contract instead of being integrated as external bolt-ons working from stale extracts.
Is our banking data used to train AI models?
No. KORE's data plane is tenant-isolated by design. AI features operate on your data, inside your tenancy and governance boundary, and answers are grounded in your live, auditable records.
Are AI-assisted decisions auditable?
Yes. Decision inputs and outcomes inherit the same tamper-evident audit chain as every other event on the platform — each AI-assisted decision can be explained, traced and re-validated.
Can our engineers build their own AI use cases on KORE?
Yes. The open APIs, event streams and typed SDK that power KORE's own copilots are the same contract available to your team — compose your own use cases without forking the platform.
See the copilot on live data.
Book a demo and ask the platform your own questions — on a running stack, not a slide deck.