AI that works for your members. Governed for your examiners.
Credit unions are deploying AI to serve members better, operate leaner, and compete with banks. Autessa is the platform that makes it fast, safe, and provable.
Live Operations
See every agent. Every decision. Every guardrail.
A single pane of glass for every AI use case running across your credit union, showing live performance, fairness checks, and any policy exceptions your team is reviewing.
The Moment
AI is the biggest competitive lever credit unions have had in decades.
The institutions that move now will pull ahead. The ones that move carelessly will have a different kind of problem.
Compete with banks. Win on service.
AI lets credit unions do things that used to require three times the headcount: faster loan decisions, 24/7 member support, proactive fraud prevention, smarter back-office ops.
- Faster credit decisioning and loan processing
- Personalized member services at scale
- Real-time fraud detection and prevention
- Leaner operations without sacrificing service
- Competing with big-bank digital experiences
AI without governance is a liability, not an asset.
NCUA has not issued AI specific rules, but its existing regulations are technology neutral and already apply to your AI use. Credit unions running AI in silos, without visibility, audit trails, or policy enforcement, cannot produce the evidence an examiner expects under the rules that already exist.
- No visibility across fragmented AI tools
- Can't demonstrate compliance to examiners
- Fair lending and PII exposure risks
- Core vendors moving too slowly
- Governance as an afterthought, not infrastructure
The Platform
Deploy AI. Govern it. Prove it.
Autessa gives credit unions a single platform to build and run AI across every function, with the oversight and audit trail built in from the start.
Deploy AI across your institution
Build and run AI agents for lending, member services, fraud, operations, and compliance, without standing up separate tools for each one.
Full visibility across every use case
See every AI interaction in real time. No blind spots, no silos. One view of what your AI is doing, to whom, and with what data.
Policy enforcement, not best effort
You define how AI operates at your institution, and those policies travel with the data at the field level. Access is scoped to each use case, and every consequential decision produces a record of its inputs and its reviewer, so you can demonstrate to an examiner exactly how a given outcome was reached.
Immutable audit trail
Every decision, action, and output logged automatically. When an examiner asks, you have the answer instantly: exportable and exam-ready.
Works with your existing stack
Connects to your core system, CRM, and ops tools via API. Autessa governs the AI layer; it doesn't replace what's already working.
Scale at the right pace
Start with one use case. Expand as your confidence grows. We stay alongside your team, from first deployment through scaled operations.
Inside a Decision
How a loan decision becomes a record you can hand an examiner.
When an AI agent participates in a loan decision, Autessa assembles a decision record as the work happens. The record captures the inputs the agent used, the policy checks that ran, and the people who reviewed it. You can export that record for a single decision or a full portfolio, so you can show an examiner how the decision was reached and what controls applied.
Intake
The agent receives the application data and records which fields it read, where each field came from, and the model and version handling the request. Nothing enters the decision without being written to the record first.
Evaluation
As the agent works, Autessa logs the policy checks that run against it, including your fair lending and PII handling rules. Each check is recorded as passed, flagged, or routed for human review, with the reason attached.
Decision and review
The recommended outcome is captured alongside the factors behind it and any adverse-action reasons. Where your policy requires a person in the loop, the reviewer, their action, and the timestamp are recorded on the same file.
Record and export
Every step above is written to an immutable, timestamped log. You can export the complete record for one decision or a defined set of decisions, in a structure organized for review.
What the decision record captures
- The application inputs the agent used and their source.
- The model and version that produced the recommendation.
- Each policy and fair lending check that ran, and its result.
- The adverse-action reasons attached to a declined or counter-offered application.
- The human reviewer, the action taken, and the time it occurred.
- A timestamped, tamper-evident log that ties these together.
What you can show an examiner
- How the AI tool fits your internal controls, by producing the record for any decision on request.
- That the tool is monitored over time, by exporting the checks and reviews across a portfolio of decisions.
- How you apply existing, technology-neutral lending and fair lending rules to AI-assisted decisions.
- Your due diligence on any third-party model, consistent with NCUA third-party guidance in Letters 07-CU-13 and 01-CU-20.
NCUA has not issued AI specific rules, and its existing regulations are technology neutral. Autessa does not certify that a decision was compliant. It gives you the record and the controls so your team and your examiner can evaluate each decision against your policies and the regulations that already apply.
See Autessa running across your credit union.
A 30-minute walkthrough of deployment, governance, and exam-ready reporting on your use cases.
Regulatory Alignment
Built for what examiners already evaluate.
NCUA has not written a separate AI rulebook, because its supervisory focus is on risk management rather than the tool itself. Examiners evaluate your AI use inside the framework that already exists, and most institutions cannot produce that evidence today. Autessa is how you produce it.
What NCUA examiners evaluate
NCUA lists five things its examiners evaluate when a credit union uses AI. Autessa is built so you can produce evidence against each one on demand.
- Safety and soundness practices
- Compliance with applicable laws and regulations
- Internal controls around the AI tool
- Ongoing monitoring of risks
- Adequate third party due diligence when using vendors
NCUA Third-Party Guidance (07-CU-13)
NCUA points credit unions to Letter 07-CU-13, Evaluating Third Party Relationships, to govern the vendors behind your AI tools.
NCUA Vendor Due Diligence (01-CU-20)
Letter 01-CU-20, Due Diligence Over Third Party Service Providers, sets the diligence NCUA looks for when you run vendor AI.
NIST AI Resources
NCUA references the NIST AI Resources on its AI page as material credit unions may find useful for AI design, governance, and usage.
COSO Enterprise Risk Framework
NCUA also names COSO on its AI page as a source for board oversight, risk appetite, and ongoing monitoring.
Autessa Delivers
What you get against every framework above.
AI use case inventory
Every model, agent, and vendor, catalogued and exportable
Immutable audit logging
Complete record of every AI decision and output
Fair lending monitoring
Continuous checks on decisioning agents
Third-party AI oversight
Document and monitor every vendor model relationship
Exam-ready reporting
One-click exports structured for NCUA review
FAQ
Credit union AI governance, answered.
Can Autessa govern AI we already have in production?+
Yes. Most credit unions already have AI running across lending, member services, and operations. Autessa connects to your existing core, CRM, and ops tools via API and layers visibility, policy enforcement, and an immutable audit trail on top, without replacing the systems already working.
How does Autessa help us prepare for an NCUA exam?+
Every AI decision, action, and output is logged automatically into an immutable, exportable audit trail. You get an AI use case inventory, fair lending monitoring, and one-click exam-ready exports structured for NCUA review, so when an examiner asks what your AI is doing, you have the answer instantly.
Which regulatory frameworks does Autessa map to?+
NCUA has not issued AI specific rules, so its examiners apply the existing supervisory framework to your AI use. Autessa is built around what that framework already asks for, including the third party due diligence in NCUA Letters 07-CU-13 and 01-CU-20, and it references the NIST AI Resources and COSO that NCUA names as useful material. Governance is built in from the start rather than bolted on when the examiner arrives.
How do you demonstrate control over fair lending and PII exposure?+
You define how AI operates at your institution, and those policies are enforced at the field level with access scoped to each use case. Decisioning agents run continuous fair lending checks, PII handling follows the policy you set, and every consequential action is logged with its inputs and its reviewer. When a question comes up, you can show an examiner what your controls are and how a given decision was made.
Do we have to deploy everything at once?+
No. You can start with a single use case and expand as your confidence grows. Autessa stays alongside your team from first deployment through scaled operations, so you adopt AI at the pace that fits your institution and your examiners.
Get Started
Already running AI? Let's make sure it's working and provable.
Most credit unions have AI in production. Few can show an examiner what it's doing. Autessa gives you the visibility, governance, and audit trail your existing AI is missing.