Kai for Banking

Put AI to work inside the controls.

Kai connects client, product, policy, operations, and risk context while respecting the controls banks already rely on. Teams can automate preparation and coordination without turning regulated decisions into a black box.

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01 / CAPABILITIES

Put AI to work inside controls

01

Permission-aware banking context

Bring client, policy, product, and operational knowledge into the task without flattening access boundaries.

02

Human checkpoints by design

Place maker-checker reviews, approvals, and escalations inside agentic workflows before action is taken.

03

Evidence behind every output

Keep the source, model action, decision, and reviewer trail attached to the work for audit and oversight.

02 / USE CASES

Put Kai to work in banking

04Practical playbooks

Playbook01

Prepare every client interaction

Kai assembles relevant relationship history, product holdings, service issues, approved guidance, and recent activity. Client-facing teams enter the conversation informed without crossing permission boundaries.

Playbook02

Support KYC review and remediation

Gather customer documents, policy requirements, prior reviews, and open exceptions into a clear case file. Kai identifies missing evidence and routes decisions to the authorised reviewer rather than making them autonomously.

Playbook03

Assemble credit decision materials

Kai organises financial information, relationship context, covenant history, and policy criteria into a source-linked draft. Credit professionals retain ownership of risk assessment and final approval.

Playbook04

Resolve operations exceptions with evidence

Connect the transaction, procedure, customer context, system event, and approval path around an exception. Kai guides the next action and preserves a complete record of how the issue was resolved.

START WITH ONE PLAYBOOK

Bring Kai into banking.

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