See how your org uses AI.
So you know what's working, what's wasted, and where your people are carrying the weight of the tools.
Empowering the human in the loop.
Your team uses AI every day.
You have no idea what that looks like.
Adoption ≠ Understanding
Your dashboard says 80% of seats are active. What are people doing with them? Which tasks get handed to AI? How much output actually gets used? Seat count tells you nothing.
The human work is invisible
When AI output falls short, your team fixes it. They re-prompt, edit, rephrase, or just do it themselves. That effort is invisible to every analytics tool you have.
No framework for measurement
Every AI vendor claims productivity gains. Your team has feelings about the tools. Nobody has structured data on which workflows AI actually helps and where humans pick up the slack.
We measure what happens after the AI responds.
Most analytics track how much your team uses AI. We measure how much of that usage works.
First-try acceptance
How often is the AI's initial output used without changes?
Correction frequency
What fraction of interactions require the human to ask for a fix?
Human effort
Total active time your team spends reviewing and reworking output.
Iterations to done
How quickly does each round of feedback move closer to the final result?
Clarification load
How much of the conversation is spent getting the AI to understand the request?
What AI handles
Which workflows get delegated to AI and how each one performs.
How It Works
Measure
We run a 2-3 week performance sprint. Using your team's actual usage data (exports, observation sessions, surveys) we map how AI is used across the org. What tasks, which tools, how much correction, how much gets accepted. No conversation content stored. Only derived metrics.
See the full picture
You get a structured view of your human-AI collaboration. Where AI helps, where your team does the heavy lifting, which workflows work and which struggle. This becomes your baseline.
Stay informed
AI tools update constantly. Usage evolves. Ongoing measurement keeps you current. As our client base grows, you see how your patterns compare to peers.
Why Independent?
OpenAI's dashboard won't flag that their tool underperforms on your legal workflows. Anthropic's analytics won't surface that your team spends more time correcting output than writing it themselves. No vendor will recommend you switch to a competitor.
FullOversight has no model to sell. We report what the data shows, across every tool in your stack.
Who This Is For
VP Operations / COO
You championed the AI rollout. Now the board wants to know what happened. We give you the first structured view, by team, by task, by tool.
CTO / Head of Engineering
You're planning the next phase. Expand, consolidate, build internally? Data on what's actually working in production.
CFO / Finance
The AI line items are growing. You need to understand the spend, not kill it.
Head of AI / Innovation
You're making AI adoption work. We give you the measurement framework to prove what's landing and fix what isn't.
Nobody else measures this.
Platform providers track usage. Evaluation companies test output quality. Nobody measures what happens when your team tries to use that output.
Built by researchers from
Peer-reviewed methodology. Independent measurement. Tool-agnostic.
Pricing
Sprint
$3–8K
2–3 weeks. Full performance report covering how AI is used across your org.
Ongoing
From $200/mo
Continuous measurement plus analysis costs. Scales with usage.
Full detail on a call.
Start With a Sprint
In 2–3 weeks, you'll have a structured view of how your organization uses AI. No long-term commitment required.
Or email us directly at contact@fulloversight.com