Your operations cost line is growing faster than your revenue line. KYC reviews, credit memos, exception handling, reconciliation and compliance work scale with headcount you cannot keep hiring. CoreFi is designed to support COOs running banking and lending operations at the next order of magnitude, with agent-prepared work packets, human-in-the-loop approval queues and one audit record per workflow, so each new customer does not require another linear unit of operations cost.
Most COOs in regulated banking and lending we talk to are not asked to do less. They are asked to do more, more onboarding, more lending, more jurisdictions, more product variants, on a flat operations budget. CoreFi is designed to support that shape with agentic AI workflows that do the preparation work, not the decision work.
Every new account, business or beneficial-owner check that runs through a reviewer is a linear unit of cost, and a customer waiting.
CoreFi's Onboarding Agent parses IDs, extracts beneficial owners, runs sanctions and PEP screens, prepares the review packet and routes straight-through where policy allows. The human reviewer sees a structured case, not a stack of PDFs.
Most of your operations cost is not in straight-through work. It is in the exceptions: the AML hit that needs a narrative, the credit case that does not fit policy, the reconciliation break that needs investigation.
CoreFi is designed to support exception handling with agents that retrieve the evidence, propose the narrative and prepare the disposition, with one audit record per case, ready for the reviewer's decision and the supervisor's ask.
You cannot manage what you cannot measure. Today the operations P&L lives in spreadsheets, BPM tools and ticketing systems that do not share a record with the core.
CoreFi's operations console is designed to support real-time visibility into queue depth, time-to-decision, exception rates, agent-vs-human disposition mix and the cost per workflow, on the same record the core and the audit trail run on.
CoreFi is not designed to replace your operations team. It is designed to support them: agents do the retrieval, the preparation and the proposed disposition; humans approve what policy says they must; the audit record covers both. The seven-step lifecycle (Sense → Plan → Check → Act → Audit → Escalate → Learn) is how every agent on the platform runs.
KYC, KYB, AML, beneficial-owner extraction and document parsing. Straight-through where policy allows; structured review packets where it does not.
Originates the case, retrieves the bureau data, drafts the credit memo, proposes pricing and structure. The credit officer decides; the agent prepared.
AML alert triage, sanctions follow-up, narrative drafting, audit-evidence preparation. The MLRO decides; the agent did the leg work and the record is intact.
Cash position monitoring, FX bookings, reconciliation breaks, exception narratives. Designed to support the back-office on the same audit record as the rest of the platform.
Retrieves the customer context, drafts the response, executes scoped operations within transaction limits, escalates anything outside policy, with one record per conversation.
Queue depth, time-to-decision, exception rates, agent-vs-human disposition mix and cost per workflow, on the same record the core and the audit trail run on.
CoreFi customers shape their operations metrics around the same three axes, not because CoreFi prescribes them, but because they are the ones a COO has to defend to the CEO and the board. Anonymized ranges are published as customers authorize disclosure on /client-outcomes.
How long from a customer triggering a workflow (apply, draw, dispute, change) to a final decision. Designed to support straight-through where policy allows, with a documented escalation path for the rest.
The fully-loaded cost, agent compute, human time, exception handling, per onboarding, per loan originated, per AML case, per service request. Designed to run on one ledger across direct, embedded and partner traffic.
What share of cases the agent disposed inside policy, what share the human had to review, what share escalated. Designed to support evidence-based capacity planning, not headcount guessing.
Short answers below; the sections above and the linked pages carry the detail. Anything not covered here is what the briefing call is for.
Agents prepare the case: retrieval, screening, drafting, proposed disposition. Humans approve what policy says they must, and the same audit record covers both. The lifecycle is documented in /ai-workflows.
Queue depth, time-to-decision, exception rates, agent-vs-human disposition mix and cost per workflow, on the same record the core and the audit trail run on.
We publish anonymized outcome ranges on /client-outcomes as customers authorize disclosure, on the same axes every time. We do not quote a generic saving figure; the briefing maps your own process to the relevant range.
Pick the operations process that is eating the most headcount: onboarding, AML triage, credit memos, reconciliation, dispute handling. We will walk through how the relevant CoreFi agent prepares the work, where the human decision points sit, what the audit record looks like and what the operating cost line could shape into.
Part of the Executive Buyer Room: briefings for every role at the table →