Every AI in Your Credit Union. Inventoried, Governed, and Examiner-Ready.

gravityAI is the platform where your team builds, deploys, and governs every model and agent inside your own cloud. Member data stays in your environment, governance rides along with every deployment, and your next exam has a paper trail waiting.

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The gravityAI difference: we turn your systems into re-usable, governable components

Most credit unions have more AI in production than any one person can name. A fraud score here, a vendor chatbot there, a spreadsheet macro someone built last quarter. Larger shops run thousands of models scattered across business units with no central oversight, and that gap is where governance, compliance, and regulatory exposure live. gravityAI brings four moving parts, your core, your data, your AI models, and your third parties, onto one platform where each one is inventoried, risk-rated, and governed.

One AI Inventory
Every model, connector, and agent you deploy through gravityAI lands in a single catalog. View all of your AI deployments and their risk levels in one screen, so nothing runs in the dark.
Governance Built into The Artifact
Assign a risk level to each piece and governance travels with it as a property of the artifact itself. The controls hold whether the model runs in a workflow, an API call, or an agent. You set governance once and it holds everywhere that artifact runs.
Exam-Ready Documentation
Model cards, audit logs, and access records generate as your team builds. When NCUA or a third-party risk review asks how a model works and who can touch it, the answer is already written. Built-in tooling covers the 5300 Call Report and the rest of the compliance stack.

The AI Deployment Problem Subhead: Three barriers holding credit unions back.

Deployment Friction

Teams are siloed, so every production deployment is slow and brittle. Moving a single model into production typically costs $250k or more and takes six months.

Lack of Visibility

Large organizations run thousands of models scattered across business units with no centralized oversight, which creates governance, compliance, and regulatory exposure.

Trapped Value

Models built for one product line rarely get reused across the organization, leaving the ROI on AI investment well below its potential.

Describe It in Chat. Pick Your Model. gravityAI Builds It.

gravityAI connects directly with your LLM provider, so your team describes a task in plain language and the platform assembles a working agentic workflow, with tools, guardrails, and an audit trail attached. Complex workflows that used to take a quarter now take about 30 minutes.

AI Risk Dashboard

Choose your LLM.

Bring the model you have approved, whether it is a commercial API or one running inside your own walls.

Connect to your core and tools.

MCP wires the agent to your live data and systems, with permissions set up front.

Guardrails by default.

Iteration limits, cost caps, and tool permissions are set before the agent runs even once.

Governed like everything else.

Every agent inherits the same inventory, access controls, and audit log as your models.

Cart Before the horse

AI Training, Built Around Your Credit Union

Software moves faster when your people know how to use it well. Our training program is led by a world-class instructor with over ten years of experience teaching organizations how to put AI to work responsibly.

- Governance best practices.

- AI opportunity assessment.

- Customized to your stack.

- Prompting best practices.

- Real credit union use cases.

Value on Day One. Dozens of Workflows Ready to Run.

Lending
Loan portfolio risk scoring Credit memo drafting Delinquency early-warning
Risk and Compliance
NCUA 5300 Call Report analysis BSA / AML transaction monitoring CAMELS-lite peer benchmarking
Member Experience
Call summarization and QA Member sentiment and NPS scoring Inquiry triage and routing
Marketing and Growth
Member segmentation Cross-sell recommendations Churn prediction
Finance and Accounting
Budget variance analysis ALM and liquidity reporting Board deck generation
Operations and HR
Policy and procedure Q&A Vendor due-diligence review Employee helpdesk assistant