One board read of governance, spend, and risk — and whether the agents are worth it.
For the board and the C-suite — the agent control plane, on one exportable page.
Every signal a board cares about lives in a different operator screen. The control plane packages them into one trended, exportable read: how much of the fleet is governed, how many dollars are exposed, where it's heading — and the question execs actually ask, are the agents earning their keep?
Board-relevant signals, scattered across operator views.
Leadership needs a number, a direction, and a verdict on value. What exists is a stack of dashboards built for operators, not for a board review.
No single read
Governance, spend, and risk each live in their own tool. None of them, alone, answers “are we in control?”
Risk reads as diffuse
Exposure looks spread across the whole fleet, so it feels unfixable — when in truth a handful of agents carry most of it.
No verdict on value
Speed and spend are everywhere; whether the agents actually complete their work — and at what cost per result — is nowhere.
One index, the dollars at stake, and the trend between them.
A governance index
The share of the fleet actually controlled and monitored, as one 0–100 number against a target you can open up and inspect.
Dollars at risk, concentrated
Spend flowing through ungoverned or risky agents — and the top-N agents that carry most of it, so the fix is finite, not boundless.
Improving despite growth
A trend that pairs governance with cost, so you can show control rising even as spend climbs — accountability per dollar, going up.
Built to export
A read that leaves the screen as a board-ready document, not a screenshot of an operator tool.
The question every board asks — finally answered.
Governance tells you it's safe. This tells you it's working. The control plane pairs the posture story with an ROI read built from real task outcomes.
Fleet success rate, not just speed
What share of attempted tasks the agents actually complete — the outcome metric latency and spend can never capture.
Spend per successful task
Total AI spend divided by the work that actually landed, so cost is stated against results — the number that says whether the fleet pays for itself.
Honest about the signal
Outcomes are labeled measured or projected, so the value story is grounded in evidence — never a confident number with nothing behind it.
Governance, spend, and ROI in one board read.
One index, the dollars at risk, the direction of travel — and whether the agents are earning their keep.