Build AI Capability Your
Institution Controls and Audits
Regional banks and large credit unions are moving AI off vendor platforms and into infrastructure they own — so customer data never transits third-party AI systems, models can be audited by examiners, and pricing is not subject to vendor roadmap changes. Agaro designs the model stack, governance framework, and internal tooling to make that transition executable.
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Operations summary across every enterprise ai in-house module deployed in your tenant — last 24 hours.
Program
90-day program tracking — operating model, platform stand-up, model strategy, eval, governance, team enablement.
Platform
Inference, retrieval, evaluation, observability, and a model gateway — deployed in your environment under your accreditation.
Model registry
Defensible mix of open-weights, hosted frontier, and bespoke fine-tunes — chosen by capability fit, not vendor lock-in.
Evals & governance
The evaluation harness and governance forum your auditor and your engineers will both rely on.
Team enablement
Your engineers, operators, and leadership trained — so the capability outlives our engagement.
Roadmap
18-month capability roadmap and use-case backlog scored by value and risk.
What enterprise ai in-house actually does for financial services.
Operating model
Roles, governance, eval policy, model release process — the institutional plumbing that turns AI from a project into a capability.
Platform stand-up
Inference, retrieval, evaluation, observability, and a model gateway, deployed in your environment under your accreditation.
Foundation model strategy
A defensible mix of open-weights, hosted frontier, and bespoke fine-tunes — chosen by capability fit, not vendor lock-in.
Eval & governance
The evaluation harness and governance forum your auditor and your engineers will both rely on.
Team & enablement
We train your engineers, your operators, and your leadership — so the capability outlives our engagement.
Roadmap & runbook
An 18-month capability roadmap, a use-case backlog scored by value and risk, and the runbooks your SRE team needs.
Engineered to a standard, not a slogan.
Modules that compose with this one.
What financial services buyers ask about enterprise ai in-house
— before they sign.
Deploy enterprise ai in-house
for your financial services team.
A 30-day pilot will show you the integration shape, the operator experience, and the audit trail your team will ask about — delivered by a senior engineering team that ships AI to production for banks, lenders, advisors, and fintech operators.
Begin Pilot