Governed AI agents for financial-services compliance
KOI AI deploys governed agents for the compliance, audit, and operations work that consumes skilled hours at banks, lenders, insurers, and asset managers: drafting compliance documentation from source systems, assembling audit-evidence packages, triaging exception reports, and preparing the files a reviewer signs. Every agent action passes a policy check, a named person approves anything that matters, and the accountability ledger doubles as the audit trail. In a published engagement, a mid-size commercial lender cut compliance overhead by 63% and compressed audit preparation from weeks to days.
What agents do in banking and financial services
Compliance documentation drafting
Drafts the recurring documentation your program requires from the source systems, for the compliance officer to review and approve.
Audit-evidence assembly
Gathers the evidence an audit request needs into a package with its provenance, so preparation takes days rather than weeks.
Exception-report triage
Reads exception reports, classifies each item, drafts the resolution, and routes it to the right reviewer.
Regulatory change tracking
Summarizes rule changes and maps them to the policies and controls they touch, for your team to act on.
Third-party due-diligence preparation
Assembles vendor questionnaires, documents, and findings into a review file for a person to assess.
Reconciliation exceptions
Investigates breaks, gathers the supporting records, and drafts the resolution for approval.
The systems agents work in
- ◆Core banking and loan-origination systems
- ◆GRC and policy tools
- ◆Document management
- ◆Data warehouse and reporting
- ◆The spreadsheets the work runs on today
Approval and risk controls
- ◆A policy check before any action, and nothing filed, sent, or changed in a system of record without a named person's sign-off.
- ◆Maker and checker: the agent prepares, a person approves.
- ◆Every action is recorded on an accountability ledger regulators and auditors can inspect.
- ◆Agents operate within the entitlements you grant. No customer-facing decision, such as credit, pricing, or adverse action, is made by an agent.
- ◆Documentation of each agent's purpose, inputs, limits, and monitoring, written for your model-risk and internal-audit functions.
What an engagement is measured on
- ◆Compliance hours per week on the targeted workflows
- ◆Audit-preparation cycle time
- ◆Exception backlog and age
- ◆Errors found in review
- ◆Share of actions with a recorded approver
What agents do not do here
- ◆Agents prepare and triage. Regulated decisions stay with people.
- ◆Data residency and access follow your policies; results depend on access to the source systems.
- ◆The ledger records agent actions. It does not replace your compliance or audit functions.
Governed agents that cut compliance and audit overhead by two-thirds
A regional lender turned 10–20 hours of weekly compliance busywork into governed, fully-auditable agent workflows — with a human accountable for every filing.
Read the case study and how the numbers were measured →- AI Strategy & Roadmap →
4–6 weeks
- AI Agent Implementation →
4–8 weeks to the first production agent
- Fractional AI Officer →
Ongoing, monthly
Questions from banking and financial services buyers
Can the agents make credit or compliance decisions?
No. They draft, assemble, classify, and route. Decisions on credit, pricing, adverse action, filings, and exceptions are made by the named people in your approval map, and the ledger records who made each one.
How does the ledger help in an audit?
Every agent action, the policy check it passed, and the person who approved it are recorded in one place. Instead of reconstructing a trail from inboxes and shared drives, you hand the examiner the record.
What about model-risk management?
Each agent comes with documentation of its purpose, inputs, limits, and monitoring, written so your model-risk function can add it to the inventory and your internal audit can test it.
Where does our data go?
It stays in your systems. Agents work under the entitlements you grant, and the engagement follows your data-residency and information-security policies.
One process in your business, two business days.
Describe the task. Get a working agent before you spend anything.
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