Measure AI adoption.
Not AI usage.
The Autonomy Index™ reveals how much of your workflow AI actually owns, where adoption is shallow, and what to improve next.
Your Autonomy Score
Level 3Collaboration
AI owns meaningful parts of your workflow, with human guardrails and oversight.
AI adoption is accelerating. Measurement is not.
75%
of executives say their AI strategy is more for show than guidance.
Source: Writer Enterprise AI Adoption Survey, 2026
Only 29%
of organisations report significant ROI from AI.
Source: Writer Enterprise AI Adoption Survey, 2026
72%
of enterprises are piloting or running agentic AI in production.
Source: Mayfield CXO Network, 2026
01 / The problem
Companies invest in AI.
Workflows rarely change.
Most organisations no longer ask whether they use AI. They ask whether AI has changed how work actually gets done.
Adding AI to existing processes creates activity. Changing workflow creates business value.
The gap
Most teams use AI.
Very few know what AI actually owns.
Most organisations measure AI activity: logins, prompts, hours saved. The Autonomy Index™ measures workflow ownership.
Activity
Logins, prompts, tokens
Ownership
What AI actually decides
Outcome
Business value created
Only 29% of organisations report significant ROI from AI.
Source: Writer Enterprise AI Adoption Survey • 2026
02 / What you receive
One assessment.
Five product deliverables.
Not a PDF. A working dashboard of your AI adoption — score, ownership map, maturity level, benchmark, and prioritised recommendations.
Workflow Ownership Map
Customer OnboardingAI owns 68% of your onboarding workflow.
Autonomy Score™
Level 3 — CollaborationOwnership
72
Depth
64
Consistency
69
03 / Where you stand
A maturity level. A peer benchmark.
In language your leadership already speaks.
AI Maturity Level
Level 3 of 5Your workflow is Level 3: Collaboration.
Manual
AI-free work
Assisted
AI as helper
Collaboration
Shared ownership
Delegation
AI-led, human review
Autonomous
AI-owned outcome
Benchmark
n = anonymised cohortYou're 14 points ahead of peers.
04 / What to do next
Three prioritised moves.
Sized by impact on your Autonomy Score.
Prioritised Recommendations
3 actionsThree moves to push you into Level 4.
Move review from human to collaborative
Draft review is your biggest bottleneck. Delegate first-pass review to AI with reviewer sign-off.
Automate intake enrichment
You already trust AI for enrichment mid-workflow. Extend it to the intake step.
Add ownership audit for approvals
AI writes 88% of drafts but 0% of approvals are logged. Add ownership trail for governance.
Workflow Redesign
Before → AfterFewer handoffs. More ownership.
05 / Track it over time
Measure once.
Track forever.
Re-assess at 30, 90, and 180 days. Watch AI ownership climb, handoffs fall, and your maturity level shift as real workflow change compounds.
- Baseline your workflow ownership today
- Follow-up prompts at 30 / 90 / 180 days (opt-in)
- See adoption compound, not just activity spikes
Progress Over Time
+32 ptsHuman intervention dropped 24% after 90 days.
Baseline
42
Initial assessment
30 days
51
Quick wins deployed
90 days
63
Workflow redesign
180 days
74
AI ownership expanded
06 / Who it's for
Built for the teams accountable for AI adoption.
Customer Success
Turn adoption conversations into renewal conversations.
AI Vendors
Prove what part of the customer workflow your product actually owns.
Operations
Identify manual bottlenecks and wasted effort inside real workflows.
Transformation Leaders
Track AI maturity as a strategic capability, quarter over quarter.
Enterprise Buyers
Validate ROI before expanding AI investment across the business.
Governance & Compliance
Identify unmanaged AI ownership, agent risk, data leakage exposure and compliance gaps before they scale.
07 / How it works
A clear path from insight to action.
01
Complete the assessment
Answer questions about your workflows, tools and processes.
02
Receive your results
Autonomy Score, ownership map, maturity level, benchmark.
03
See recommendations
Prioritised actions ranked by impact on your score.
04
Track your progress
Re-assess at 30 / 90 / 180 days and measure real change.
08 / Built on principle
Built from real AI adoption and workflow transformation experience.
A framework designed for how AI adoption actually behaves inside organisations — not how vendors like to describe it.
Designed for enterprise AI adoption workflows
Built around workflow ownership, not vanity usage metrics
Supports longitudinal measurement over time
Generates anonymised benchmark data
Serves Success, Vendors, Ops, Transformation, Buyers, Governance
Governance-aware: surfaces unmanaged AI ownership
09 / Research mission
The industry standard for measuring AI adoption is being written now.
AI adoption is moving faster than the measurement systems around it. As agentic AI enters production, organisations need a way to track whether workflows are actually changing over time.
72% of enterprises are already piloting or running agentic AI.
Source: Mayfield CXO Network, 2026
A living dataset
Anonymised workflow ownership signals across industries and roles.
Longitudinal by design
Follow-up prompts at 30 / 90 / 180 days show real change, not snapshots.
The State of AI Workflow Adoption
A public report benchmarking how — and where — AI actually owns work.
10 / Why now
Why measurement matters now.
AI is everywhere.
68%
of small businesses now use AI, but many lack policy, training or measurement.
Source: Digital Applied, 2026
ROI is still unclear.
Only 29%
of organisations report significant ROI from AI.
Source: Writer Enterprise AI Adoption Survey, 2026
Agents increase the risk.
72%
of enterprises are piloting or running agentic AI.
Source: Mayfield CXO Network, 2026
The question is no longer whether companies use AI. The question is whether AI owns meaningful parts of the workflow — safely, measurably and with business impact.
Ready to see what AI actually owns?
Complete the assessment, get your score, and contribute to the emerging benchmark for AI adoption.