OGAC

Off Grid AI Console is a self-hosted or cloud-deployed AI governance platform built for enterprises where every model call must be logged, auditable, and policy-compliant before it reaches production. The core workflow runs in five stages the vendor describes as a single path: data from existing systems flows into observed model gateways, through governed pipelines, into apps or agents built by business teams in plain language, and out as signed, cited results that compliance staff can trace. Rules are bound to a use case once; every app and agent that touches that use case inherits them without a developer re-implementing them.

The differentiating claim is governance as infrastructure rather than an afterthought. Prompt-injection attempts, PII, and policy violations are screened inside the pipeline — a blocked call never leaves the system. Every run is scored live against a golden set and watched for drift, with source tracing on every output. The vendor maps controls to ISO 42001, NIST AI RMF, the EU AI Act, and India’s DPDP, so a regulator asking for evidence gets a framework-aligned answer rather than a spreadsheet assembled under deadline pressure.

The tool fits regulated industries — banking and insurance in particular, where the vendor provides seeded, read-only demo consoles for both use cases — that need end-to-end control without stitching twenty separate tools together. The AGPL-3.0 open-source licence and self-host option mean no vendor lock-in: swapping a model or a gateway is a configuration change, not a migration project. Where it breaks: the plain-language app builder is designed for business teams describing straightforward use cases, and community patterns suggest conditional branching that requires multi-step logic quickly outgrows what non-technical builders can express without developer involvement.