01
Open model layer
Use ChatGPT, Claude, Gemini or proprietary models while keeping the banking control plane independent.
Platform / Agentic AI Core Banking
Governed AI on top of real core banking.
CoreFi gives banks a real-time ledger, product engine and API layer that AI agents can use through permissions, policy checks, audit trails and human approvals.
What changes
From core system to AI operating layer.
CoreFi does not expose banking systems directly to models. It creates a governed orchestration layer where agents can request actions, retrieve context, prepare decisions and escalate exceptions while the platform enforces policy.
02
Policy + approvals
Every agent action can be constrained by rules, limits, roles, risk thresholds and human-in-the-loop approvals.
03
Audit by design
Trace model context, tool calls, decisions, exceptions and operational outcomes for regulatory review.
Agent roles
Agents for onboarding, credit, service, compliance and operations.
Onboarding Agent
KYC, AML, documents, consent and review queue preparation.
Credit Agent
Eligibility, document analysis, scoring context, offer preparation and approval routing.
Operations Agent
Exception triage, task routing, reconciliation support and workflow automation.