What the AI is allowed to know
Repositories, documents, standards and runbooks, connected and scoped to each person's access.
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Platform
Most organizations end up with AI in several places at once — a coding assistant here, a chat tool there, an agent someone built — each with its own access model, its own data path, and no shared record. Volt AI replaces that with one platform.
The layers
Repositories, documents, standards and runbooks, connected and scoped to each person's access.
The registered set of work AI may perform in a workspace, each with its own permitted models.
Approved models with status, routing and cost profile, in one gateway.
Versioned policies, guardrails on input and output, roles, authority scopes and approvals.
An immutable, integrity-verified package for every AI action, exportable as an audit bundle.
Governance posture, adoption and spend across teams, repositories and models.
Where it fits
Volt AI is the engineering experience and the control plane. Below it sits your enterprise data and AI foundation. Around it sit the systems your teams already use. Volt AI connects to them; it does not ask you to move off them.
The surfaces your teams work in and the plane your governance team controls them from.
The trusted data and inference layer Volt AI deploys onto, inside your boundary.
The systems Volt AI connects outward to, unchanged.
Next step
Request a demo based on your use case, deployment environment and governance requirements.