Enterprise
A governed AI workforce, deployed with you
For enterprise, technical and transformation leaders who need more than a subscription: an AI workforce designed around your architecture, integrations and governance requirements, with deployment supported by AIToken Labs.
What an enterprise deployment includes
Four things we work through together
Guided deployment
Roles, trust levels, approval policies, usage limits and connected systems are configured with your team before anything goes into production.
Architecture and integration support
We work with your technical team on how AI Employees fit your existing systems, data and processes, and which integrations a deployment needs.
Governance and human oversight
Every AI Employee starts at the supervised trust level. Promotions are recommended by the system and confirmed by a person, and approvers you designate review gated actions.
Controlled tool access
Tools reach an AI Employee only through approved capabilities and connected integrations, and the approval gate is enforced where tools are executed.
Architecture
EmployAIQ separates model reasoning from deterministic control.
EmployAIQ composes a role-specific operating brief and runs an AI-model tool-calling loop within a capability-derived tool allowlist. A separate, code-enforced governance layer applies trust and approval decisions before tools execute, while action and approval records provide operational visibility.
- Reasoning is shaped by the role's instructions and relevant business context.
- The tools an AI Employee may request are derived from the capabilities approved for its role.
- Governance runs outside the AI model, in platform code.
- Trust levels and approval requirements are applied when a tool is executed.
- Each business works in its own workspace, and deployments are onboarded with you.
- Results are reported for your team to review.
Your requirements
Enterprise requirements are discussed during scoping
Every organization's requirements are different. These are the topics we work through with you before deployment, and we are clear about what the platform does today and what would need to be built or configured.
- Identity and access: how your people sign in and who may approve which actions
- Data handling: what business content and systems AI Employees may use, and where it is held
- Approvals: which actions must always wait for a person, and who those people are
- Integration: which internal systems are in scope, and in what order
- Rollout: which roles to start with, and how trust levels should progress
The role of AIToken Labs
AIToken Labs leads enterprise deployments
EmployAIQ is a product of AIToken Labs LLC. For enterprise deployments, AIToken Labs provides the architecture, integration and rollout support around the platform, so your team works with the people who build it.
Enterprise pricing is by quote, based on scope. See public starting prices for smaller deployments.
Learn about AIToken Labs enterprise services (opens in a new tab)