Your board wants AI speed. Your auditor wants AI control. Neither wants the other one's risk. CoreFi is the platform designed to support both at once — an agentic AI cloud core banking stack with policy gates, human-approval thresholds and a single immutable audit record per workflow. Production proof below; no proprietary data lock-in.
Most CEOs in regulated banking, lending and embedded finance are being asked to ship faster, embed AI safely, and bring the cost line down — without a multi-year re-platforming bet. CoreFi is designed to support all three on the same platform, on the same timeline.
Boards have stopped funding 24-month re-platforming programmes that may or may not land. They will fund one new journey live this quarter, one segment migrated next quarter, and an explicit reversibility plan at each step.
CoreFi is designed to support exactly that shape: ship a first journey in 8–10 weeks, prove the result, decide what migrates next when the metrics hold.
Your executive committee has an AI line item; your audit committee has an AI risk line. The two cannot diverge.
CoreFi runs AI agents under the seven-step lifecycle (Sense → Plan → Check → Act → Audit → Escalate → Learn). Every agent is scoped by role, transaction limit, jurisdiction and human-approval threshold. The model proposes; the platform enforces; the human approves what policy says they must.
The cost of running a legacy core, the cost of bolting AI onto it, and the cost of the operations layer underneath usually live in three different budget lines — and grow independently.
CoreFi consolidates the core, the AI workflow control plane, the audit trail and the operations console into one platform. The CFO sees one stack, one contract and one operating cost line — not three.
CoreFi is platform infrastructure; the licensed activity stays inside your entity. Each adoption path is bounded, time-boxed and reversible — so the board does not have to bet the institution on a single cutover.
Pick the journey your competitors are eating: onboarding, SME lending, deposit account, embedded credit. CoreFi runs it end-to-end and writes back to your legacy core. First production customer in 8–14 weeks.
A discrete segment — digital-only customers, SME, a new geography — runs on CoreFi while the legacy core remains the system of record for the rest. First segment live in 16–24 weeks.
When the board mandates a full retirement of the legacy core, CoreFi and the legacy core coexist for the duration. Each cohort migrates on a defined cutover. 18–36 months end-to-end with reversible phases.
Every CoreFi engagement produces the artefacts your board, your audit committee and your supervisor expect — not as a separate documentation exercise, but as a by-product of how the platform runs.
Trigger, retrieved data, model and prompt version, plan, policy outcome, API calls, ledger effects, escalations, human decisions, final state — one immutable record per workflow, exportable for internal review and supervisory request.
Each adoption path has an explicit exit posture in /implementation. Customer, account, ledger and audit data are exportable through documented APIs in standard formats. No proprietary data lock-in.
Segment, region, modules used, outcome ranges and implementation timeline — published anonymized on /client-outcomes as customers authorize disclosure, so a board can compare deployments on the same axes.
Bring the constraint you cannot move — regulator, board, vendor lock-in, talent — and the transformation you are being asked to deliver. We will tell you which CoreFi adoption path fits, what the first 90 days look like and how the business case shapes up — before you commit to anything.