AI teammates add capacity without adding risk.
Agentic WorkForce is how we put AI to work on your programs: helping your people get more from the AI tools they already have, and fielding AI teammates for complex mission work. Each teammate holds a defined role, runs at a published autonomy level under a named human supervisor, and takes on repeatable work so your experts can focus where their judgment matters most.
The people who know the system best are too busy running it to modernize it.
Critical systems run on years of know-how: how the workflows really operate, where the dependencies sit, which exceptions keep the mission moving. That know-how lives with the people keeping those systems running. They can’t run today’s mission and teach the modernization team everything they know, so the baton never gets passed.
Leave it unstaffed and the baton drops. The expert is too consumed keeping the stack alive to hand the business rules over, so the modernization team builds without them – and the program stalls.
An AI teammate is a governed member of the workforce.
It performs defined work alongside people, within established permissions, oversight and accountability. Not everything that touches AI is a teammate.
Before the four · No model in the loop
Automation
Deterministic, scripted and API work – identity and access, ticket handling, records movement. No model in the loop, and we don’t call it an agent.
Skill
A capability that does one task. Add a harness and it can become part of a teammate's role.
Not a teammate on its own.
AI teammate
A collection of skills plus a harness, holding a single role. Its own identity, its own queue, and a named supervisor who signs its output.
Not a chatbot, a copilot, or a tool someone opens.
Delivery team
People and AI teammates orchestrated together against a program's work. The teammate joins the team. It does not replace it.
Not a human team with better tools.
Agentic WorkForce
The whole of it: the roster of AI teammates and the delivery teams they sit in. How Empower AI delivers services.
Not a product we sell.
Three things set our AI teammates apart.
Most AI stalls in a pilot, locks you into a vendor, or surprises your security team late. Ours is built the other way around.
Proven on us first
Every AI teammate runs inside Empower AI before it runs in your mission, through our own delivery, service management and compliance functions. We find what breaks and close the gaps, so yours arrive already de-risked.
Read the Client Zero paper ↗Yours to keep
There’s no vendor lock-in, contractually or architecturally, in line with OMB M-25-22. Open APIs, exportable data and a model-agnostic design mean you keep your data, your workflows and your ability to walk away. Running it yourself is a supported outcome.
Inside the security process
AI doesn’t bypass the security process. It’s engineered into it. Every teammate is monitored in production for accuracy, latency and availability, and a threshold breach triggers governance review before anything changes.
Dive into the details.
For more information on governance, delegated control, the AI teammate lifecycle, the path to ATO, and our Client Zero approach, visit the Insights library.
Onboard a new teammate.
Tell us the role you cannot fill and the workflow it would own.
Modernization Simulator: Pick a mission and a program size, and see how we'd staff it with people and AI teammates.