Most businesses measure AI like automation.

That’s why they miss the point.

Measuring AI adoption is hard enough — linking it to real outcomes feels like chasing a unicorn.

Most frameworks stop at usage or “time saved,” missing the human and cultural shifts that actually drive performance.

This model connects all three: how people change, how work changes, and where the business truly moves.

The Holy Trinity of Uplift

Human Uplift

People get better. Work gets smarter.

  • Confidence rises
  • Thinking sharpens
  • Creativity grows

Organisational Uplift

Teams align faster. Intelligence flows.

  • Knowledge flows
  • Teams collaborate
  • Culture shifts

Business Uplift

Quality improves. Differentiation accelerates.

  • Cycles shorten
  • Outputs clarify
  • Customers benefit

AI Impact measurement framework

  • Real AI value shows up first in people, then in workflows, and only then in the numbers.

  • This model helps you track all three — clearly, practically, and without the corporate bollocks.

1. In-platform signals

The early signs of adoption — usage, depth, behaviours.

2. Where it shows up

How people feel and work differently day-to-day.

3. Business outcomes

The improvements leaders can see and feel in the organisation.

4. How to measure it

The practical, real-world indicators that prove it’s working.

How this looks like in practice?

Stage

Experimenters

Early exploration

What you can measure (in-platform)

  • Logins and usage frequency
  • First attempts and simple tasks
  • Completion of basic training

Where it shows up

  • People trying AI tentatively
  • Faster early drafts
  • Reduced hesitation and “blank page” anxiety

Business outcomes

  • Slight uplift in day-to-day clarity
  • Reduced micro-friction
  • Faster admin turnaround

How to measure it

  • Track time-to-first-draft
  • Use a short 2–3 question confidence pulse
  • Count reduced internal requests for basic help

Stage

Hackers

Quick wins

What you can measure (in-platform)

  • Time saved on repetitive tasks
  • Increase in content generation
  • Use of shortcuts and templates
  • Early agent adoption

Where it shows up

  • Faster turnaround on everyday tasks
  • More frequent content updates
  • Better messaging clarity

Business outcomes

  • Higher internal throughput
  • Fewer review cycles for simple outputs
  • Faster marketing and content refresh rates

How to measure it

  • Compare before and after task timings
  • Measure content output volume weekly
  • Track review rounds per document or email

Stage

Evolvers

Real workflow impact

What you can measure (in-platform)

  • Multi-step workflow usage
  • Team agent adoption
  • Reduced partner or agency dependency
  • Depth of reasoning

Where it shows up

  • Consistent quality across teams
  • Better thinking and structure
  • More brand-consistent output
  • Clearer workflows

Business outcomes

  • Higher-quality outputs
  • Faster launches and campaigns
  • Improved UX, site and content performance
  • Reduced rework

How to measure it

  • Use a simple quality scoring framework
  • Track time-to-launch
  • Monitor SEO, CX and UX performance
  • Track reduction in review and rework cycles

Stage

Revolutionaries

Rebuilding how work happens

What you can measure (in-platform)

  • Workflow reinvention
  • Agent ecosystems forming
  • Shared intelligence across teams
  • Cross-functional collaboration patterns

Where it shows up

  • Processes redesigned at source
  • More strategic clarity
  • Higher creativity and exploration
  • Stronger partner collaboration

Business outcomes

  • Higher launch success rates
  • Faster product and feature cycles
  • Improved customer experience signals
  • Stronger differentiation

How to measure it

  • Track time-to-market
  • Count innovation throughput and routes explored
  • Monitor NPS, CSAT and CX quality signals
  • Use partner and agency performance feedback

Stage

Icons

Embedded and amplifying

What you can measure (in-platform)

  • Organisation-wide agent networks
  • Leadership usage patterns
  • Cultural adoption
  • Capability uplift across roles

Where it shows up

  • AI fluency everywhere
  • Internal coaching and capability rising
  • Consistent strategic narrative
  • Continuous reinvention

Business outcomes

  • More new products and services launched
  • Higher profitability and margin
  • Faster growth cycles
  • Category leadership

How to measure it

  • Attribute uplift in the P&L
  • Track innovation pipeline throughput
  • Follow talent progression and promotion data
  • Monitor market, brand and partner ecosystem metrics
Experimenters
Early exploration
Hackers
Quick wins
Evolvers
Real workflow impact
Revolutionaries
Rebuilding how work happens
Icons
Embedded and amplifying
What you can measure
(in-platform)
  • Logins and usage frequency
  • First attempts and simple tasks
  • Completion of basic training
  • Time saved on repetitive tasks
  • Increase in content generation
  • Use of shortcuts and templates
  • Early agent adoption
  • Multi-step workflow usage
  • Team agent adoption
  • Reduced partner or agency dependency
  • Depth of reasoning
  • Workflow reinvention
  • Agent ecosystems forming
  • Shared intelligence across teams
  • Cross-functional collaboration patterns
  • Organisation-wide agent networks
  • Leadership usage patterns
  • Cultural adoption
  • Capability uplift across roles
Where it shows up
  • People trying AI tentatively
  • Faster early drafts
  • Reduced hesitation and “blank page” anxiety
  • Faster turnaround on everyday tasks
  • More frequent content updates
  • Better messaging clarity
  • Consistent quality across teams
  • Better thinking and structure
  • More brand-consistent output
  • Clearer workflows
  • Processes redesigned at source
  • More strategic clarity
  • Higher creativity and exploration
  • Stronger partner collaboration
  • AI fluency everywhere
  • Internal coaching and capability rising
  • Consistent strategic narrative
  • Continuous reinvention
Business outcomes
  • Slight uplift in day-to-day clarity
  • Reduced micro-friction
  • Faster admin turnaround
  • Higher internal throughput
  • Fewer review cycles for simple outputs
  • Faster marketing and content refresh rates
  • Higher-quality outputs
  • Faster launches and campaigns
  • Improved UX, site and content performance
  • Reduced rework
  • Higher launch success rates
  • Faster product and feature cycles
  • Improved customer experience signals
  • Stronger differentiation
  • More new products and services launched
  • Higher profitability and margin
  • Faster growth cycles
  • Category leadership
How to measure it
  • Track time-to-first-draft
  • Use a short 2–3 question confidence pulse
  • Count reduced internal requests for basic help
  • Compare before and after task timings
  • Measure content output volume weekly
  • Track review rounds per document or email
  • Use a simple quality scoring framework
  • Track time-to-launch
  • Monitor SEO, CX and UX performance
  • Track reduction in review and rework cycles
  • Track time-to-market
  • Count innovation throughput and routes explored
  • Monitor NPS, CSAT and CX quality signals
  • Use partner and agency performance feedback
  • Attribute uplift in the P&L
  • Track innovation pipeline throughput
  • Follow talent progression and promotion data
  • Monitor market, brand and partner ecosystem metrics