Employee AI
Unify approved model access with policy, DLP, continuity, and usage evidence
Accelerate adoption. Enforce policy. Operationalize agents. Prove value.
Holokai gives large and regulated enterprises one model-agnostic operating layer for employee AI, model access, runtime governance, agentic workflows, application lifecycle, and evidence that connects usage and cost to risk and business outcomes.

Use the same model-agnostic policy, evidence, and lifecycle layer as adoption grows from individual work to agents and production applications.
Unify approved model access with policy, DLP, continuity, and usage evidence
Turn proven work into governed agents with MCP controls, evaluation, and lifecycle oversight
Build and scale resilient, manageable, and accountable AI operations
Give employees one governed desktop workspace for productive AI use across approved models, with controls and evidence active from the first interaction.
Convert proven work into governed agentic workflows while controlling tools, evaluating behavior, and measuring operational impact.
Build and operate differentiated AI applications on a portable foundation that connects enterprise data and policy to the full model ecosystem.

AI innovation delivers the most value when teams can put it to work confidently in their own areas of expertise. Holokai provides a safe, capable AI workspace where everyday work turns into business advantage and personnel growth.

Turning AI innovation into sustained business impact requires more than organic adoption, isolated pilots, or vanity projects. Holokai delivers a governed operating model that gives leaders the levers to enable adoption and the insights to focus investments, measure impact, and build an AI-literate workforce.

Enterprise AI must operate within the same privacy, regulatory, and data-protection obligations as the rest of the business. Holokai translates those requirements into distributed policy enforcement with runtime controls and an immutable record of every interaction across users, teams and agents.

Scaling enterprise AI takes a trusted platform that gives teams control over policy enforcement, agent lifecycle management, data access, and model selection. Holokai gives engineering teams a solid foundation to build and deploy agentic workflows inheriting enforcement, lifecycle management, and model flexibility.

AI economics are chaotic and costs are exploding, making it difficult to anticipate spending across teams, use cases, and hoped-for business outcomes. Holokai provides clear attribution and the operational flexibility to route work to the most cost-effective model, including private models you control.
Getting Started
Turn your existing regulatory, compliance, and data-handling requirements into enforceable controls using Holokai Policy Studio. Then apply them across the models, use cases, and agents your teams use.
Replace the sprawl of consumer AI apps with one desktop connected to the models you approve. Start with a few teams, then see what's working and scale it while tracking usage and cost.
Build a few workspaces for on-going tasks like customer reporting, candidate evaluations, or a weekly data analysis where AI can save time and improve outputs with context and access.
Run candidate models - different versions, providers, or public vs. private - in the Holokai Model Sandbox. Compare quality, speed, and cost, then pick the model that best fits your needs.
Take two or three multi-step processes your teams run constantly, like document reviews or vendor onboarding, and build Agents that increase speed and quality while leaving humans in control.
Book a demo
Let us show you what the Holokai platform can do for your enterprise. No commitment, no strings—just 30 minutes.