Fintra Feature

Put your AI agents on the org chart

An AI agent that runs payroll is a member of your workforce: it has scopes, a track record, and a run-cost. The Workforce Graph puts people, contractors, and agents on one chart, each with a trust score, a risk score, and a real annual cost priced against the same books.
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Workforce Graph

Example figures
WORKFORCE
41 + 6 + 2
humans · agents · bots
AVG TRUST
79 / 58
human / AI
TOTAL COST
$4.2M
loaded + run-cost
Priya M. · Eng Lead (human)
trust 82 · risk 24
Payroll Agent · autonomy: auto
trust 61 · risk 47
↳ scopes: payroll.write, funds.move
$14k run-cost
J. Rivera · contractor
trust 68 · risk 31
2 high-risk nodes flagged
review
Illustrative product view

The chart no HRIS can draw

Workday, Rippling, and BambooHR map people. Mercor maps candidates. None of them can put an AI agent (with its autonomy level, its scopes, its incident history, and its monthly run-cost) into the same hierarchy as a human, priced against the same P&L. Fintra can, because it owns Finance (the run-cost), HR (the org and performance), and Fintra Trust at once.

One node, one truth

  • Every actor (human, contractor, AI agent, bot) on one org chart
  • A trust score and a risk score per node, with the drivers
  • A real annual cost: loaded comp for people, run-cost for agents
  • The scopes each agent holds (payroll.write, funds.move …)
  • High-risk nodes surfaced for review

Questions people ask

What is the Workforce Graph?

It is one org chart that includes people, contractors, and AI agents, each with a trust score, a risk score, and a real annual cost, so you can see and govern your whole workforce, human and machine, in one place.

How is an AI agent’s trust and risk calculated?

Trust starts at a baseline and moves with the agent’s approval rate and incident history; risk adds an autonomy premium (higher for agents that act automatically) and a weight for sensitive scopes. The formulas are deterministic and documented.

Why can’t a normal HRIS do this?

An HRIS only knows people. Putting an AI agent on the chart with a run-cost and scopes requires owning Finance, HR, and the trust layer together, which is what the Fintra platform does.

Is the cost real?

For people it’s loaded compensation; for agents it’s the metered run-cost. Where comp inputs are seeded rather than live, the data is shaped for a production swap-in.

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