What is Autonomy Index?

Autonomy Index is a workflow level AI adoption measurement product. It scores adoption depth, workflow ownership, output quality, risk and business value across the workflows leadership actually cares about.

How is this different from usage dashboards?

Usage dashboards report logins, seats and prompts. Autonomy Index reports whether the workflow itself has changed, how much of it AI now owns and whether the output remains reliable enough to scale.

An AI Adoption Diagnostic, an Autonomy Index Score, a Workflow Heatmap, a Risk and Quality Review, a board ready report and a 90 day action roadmap.

Chief AI Officers, COOs, CIOs, transformation leaders and operations leaders who need operational proof of AI impact, not another activity dashboard.

AI Adoption Measurement

Turn AI activity into measurable business ownership.

Most companies measure AI activity. Autonomy Index™ measures whether AI is actually changing how work gets done.

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Prior enterprise and impact experience of the founder

The Earthshot PrizeWellcome Connecting ScienceUniversity of YorkCardiff UniversityMandai NatureCQUniversity Australia

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The Autonomy Index™ story

You measured activity.
We measure transformation.

01 · What you know today

You've invested in AI.

But you still don't know what actually changed. Current dashboards measure logins, licences, prompts and usage. None of these explain business value.

02 · What we reveal

We measure workflow transformation.

The Autonomy Index™ is a 0 to 100 workflow-level diagnostic scoring four weighted pillars and eight dimensions, so you can see how much work AI can reliably own and where human scaffolding remains.

03 · What you can do next

Know exactly where AI creates value.

What changed. What didn't. Where capacity was unlocked. Where AI debt is growing. Where to invest next, with board-grade confidence.

Executive decision console

See what leaders receive →

Autonomy Index score

Autonomy Maturity Band: Level 4, Operational Integration

AI Debt

Growing

Legacy workflows limiting ROI

Capacity Released

18%

Not yet redeployed

Workflow Ownership

40%

Ownership Stage 2, Repeatable AI-Assisted Tasks

See what leaders receive →

How an assessment runs

01
Scope workflow
02
Collect evidence
03
Score eight dimensions
04
Diagnose constraints
05
Redesign
06
Reassess

From score to improvement

Measure. Diagnose. Redesign. Improve.

Measure

Score the workflow as it stands today.

Diagnose

Surface AI debt and human dependency.

Redesign

Rebuild ownership and oversight.

Improve

Re-score and prove improvement.

High output qualityLow output qualityLow autonomyHigh autonomy

Trusted Autonomy

The objective is not maximum automation. It is trusted autonomy that releases capacity without scaling poor-quality work or operational risk.

Release operational capacity
Reduce unnecessary human handoffs
Create a board-ready view of AI value and risk

See Where It Creates Value Read the full matrix

The framework in practice

When AI Adoption Still Depends on Human Scaffolding

An applied case study of a VC-backed B2B AI startup with genuine automation at the product layer, while its customer workflow still depended on human coordination, assurance and recovery.

View Applied Case Study 001

Autonomy Maturity Band: Level 2, Fragmented Pilots, with pockets of Level 3, Functional Adoption
Primary constraint: Workflow Integration

Forthcoming book

The Adoption Illusion, by Christine Barnett.

Join the waitlist for an early copy and new research on Adoption Engineering™.