Manage AI Agents Like Members of the Team
AI agents doing real work need owners, scopes, and reviews - just like employees. Fintra gives every agent an accountable owner, a governance policy, and a trust score.
What AI workforce management covers
When AI agents take real actions, ungoverned agents are a liability. Fintra treats each agent as a managed member of the workforce: a defined scope, a human owner, an AgentFence governance policy, a trust score from its behavior, and a cost. Agents live in the same workforce graph as people, so the blended org is accountable end to end.
- Every agent has a human owner and defined scope
- AgentFence policies bound what each agent may do
- Trust scores track behavior against policy
- Cost and ROI per agent, alongside people
An agent lifecycle, like an employee’s
From onboard to review
- 1
Define role
Set the agent’s task scope and the outcomes it owns.
- 2
Assign owner
A named human is accountable for the agent’s work.
- 3
Govern
An AgentFence policy bounds its actions and escalations.
- 4
Monitor
Trust score tracks behavior; drift is flagged.
- 5
Review
Periodic review of value, cost, and risk - keep, tune, or retire.
Accountability, not autonomy without limits
Part of the governed workforce
- Agents appear in the workforce graph with trust scores
- Governed by AgentFence, monitored by SentriAI
- Cost and ROI feed workforce financial intelligence
Frequently asked questions
What does it mean to manage AI agents like employees?
Each agent gets a defined role and scope, a human owner accountable for its work, a governance policy that bounds its actions, a trust score from its behavior, and periodic reviews of value and risk - the same accountability structure you apply to people.
How are agents kept from doing something harmful?
AgentFence policies bound what each agent can do and what it must escalate, and SentriAI monitors behavior. Trust scores flag drift, and a human owner is accountable - so agents operate inside explicit limits, not open-ended autonomy.
Can I see what an AI agent costs?
Yes. Each agent carries run cost and ROI in the workforce graph, so agents show up in workforce financial intelligence alongside human cost - you see the true economics of the blended workforce.
How is this different from generic AI ops tools?
AI ops tools watch models and infrastructure; Fintra manages agents as workforce - owners, scopes, governance, trust, cost, and reviews - inside the same system that runs your people. It’s workforce management for the AI workforce, not just monitoring.
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