Your workflow is unique
The work follows proprietary decisions, handoffs, or operating practices.
AI Workforce / Custom worker
Build an AI worker around your workflows, knowledge, systems, policies, and measurable outcomes.

Not a larger prompt
A custom AI worker is a complete operating role—with responsibility, authority, context, tools, human management, and a scorecard.
When to build custom
Custom is the right path when the role is deeply shaped by how your organization works—not simply by a common job title.
The work follows proprietary decisions, handoffs, or operating practices.
Success depends on your products, policies, customers, and domain knowledge.
The role must retain state and act across several tools, teams, and approvals.
Access, escalation, evaluation, and human accountability must be explicit.
The worker blueprint
We design the entire operating system around the worker, so it knows what it owns, what it can use, when people step in, and how success is measured.
Mission and ownership
Approved company context
Permissioned actions
Decisions and handoffs
Management and approvals
Quality and business impact
Designed as one system
Configured around the real work, connected to the right context, and deployed with clear human accountability.
Build and deployment path
Clarify the mission, business outcome, recurring responsibilities, activation events, and human manager.
Document inputs, decisions, actions, outputs, exceptions, approvals, and the systems involved.
Prepare knowledge, memory, tools, identity, permissions, and collaboration pathways.
Engineer the worker, test representative work, measure performance, and refine operating boundaries.
Introduce controlled production use, observe real work, coach the worker, and expand responsibility with evidence.
Start with the role