For companies that bought AI and can't prove it's working

Know where AI is actually good enough in your company.

Adoptia continuously measures where AI delivers for every role and task, routes your people to what works, and gives your CFO proof — on the seats you already pay for.

Most of your AI seats are shelfware. Prove which ones aren't.

Adoptia measures utilization and outcomes on the AI you already pay for, shows where it's actually good enough, and turns the answer into CFO-grade proof.

You're on the list. We'll be in touch — and we read every reply.

Early access rolls out with a small group of design partners. No spam, ever.

Built from 25+ discovery interviews with enterprises and AI consultancies, by an ex-Google forward-deployed AI-enablement team.

The product

A living map of where AI works — and what to do about it.

Not logins. Not prompt counts. Measured, task-level capability — so every seat decision is backed by evidence.

Capability frontier · Claims operations updated 2h ago
TaskBest toolGood-enough scoreHours/mo at stakeCall
First-notice-of-loss summaryCopilot 88 410Expand
Coverage-check draftingClaude 79 260Train team
Fraud-flag review— 41 180Not yet
Customer correspondenceGemini 84 330Expand
Illustrative. Scores are outcome-grounded — measured on your work, in your tenant.
Field notes

We kept hearing the same three things.

We rolled Copilot out to 100 of our 3,000 people and froze it there. Nobody can show me what the seats return, so I can't justify more. — Enterprise insurance, on a capped rollout · discovery interviews, 2025 (paraphrased)
Everyone has a pilot. Nobody has a baseline. The adoption that exists is organic, shallow, and invisible to the people paying for it. — AI transformation consultant · discovery interviews, 2025 (paraphrased)
My team is at 120% load. Don't give them a course catalog — tell them which tool is worth their time for the task in front of them. — Operations leader, financial services · discovery interviews, 2025 (paraphrased)
How it works

From the seats you already own to proof you can act on.

1

Baseline

We instrument the AI you already pay for — in your tenant, nothing leaves — and show real utilization for the first time. Industry surveys put active use of licensed seats around a third; most companies have never seen their own number.

2

Map the frontier

Role by role, task by task, we measure where AI output is actually good enough — cross-vendor, refreshed as models change. Microsoft will only ever grade Microsoft; we have no seats to defend.

3

Route & prove

People get pointed to the tool that works for their task, with guidance in the flow of work. Finance gets outcome-grounded ROI per team — and a data-backed call on where to expand, reclaim, or switch.

Questions we get

The honest answers.

Where does our data go?
Nowhere. Adoptia is designed to run in your tenant — measurement happens on your infrastructure, and only aggregate scores leave the boundary, if you choose. Built for insurance- and finserv-grade governance from day one, because that's who we built it with.
Is this another adoption dashboard?
No. Dashboards count logins; nobody changed a budget over a login chart. Adoptia measures whether the output was good enough for the task, tells each person what to use, and gives finance a number it can fund or cut against.
You'll just tell us to buy more tools, right?
The opposite — we don't sell or resell any AI tool, and the most common first outcome we expect is reclaiming idle seats. Our only product is the truth about what works in your company. If a tool isn't good enough for a task, the map says so.
How much work is this for my team?
The baseline needs no behavior change — it reads what's already happening. The frontier mapping starts with two to three roles you pick, a few hours of their time total. Your people get routing out of it, not another tool to learn.
What does it cost?
Design partners get founder pricing scoped to one thing: the proof has to be worth multiples of the fee, measured in your numbers. Public pricing comes with general availability — and you'll see it first.
How real is this today?
Honest answer: we're pre-launch. The measurement methodology is built and being validated with design partners now — that's exactly why the waitlist exists. Early partners shape what gets measured first and lock in founder terms.

Stop guessing. Get on the map.

Join the waitlist — or write to orr@fieldspan.ai if you'd rather talk to a human first.