Prove 3x value. Price your engagements accordingly.
Consultancies face two problems at once: AI delivers real client work you can't bill for, and leadership can't prove the AI investment is paying off. WhoWorked gives you the data layer to solve both.
Two problems. One data layer.
Problem 1: The billing gap
AI delivers real client work — analysis, reports, recommendations. But you can't bill for work that's invisible.
Problem 2: The mandate gap
Leadership invested in AI tools across the practice. Nobody can show leverage ratios, adoption rates, or ROI.
The problem
AI agents do real billable work. This isn't a Figma license you absorb as overhead. When Claude writes a client's test suite, that's delivery. But you can't bill for work that's invisible. Every invoice understates the value your team actually delivered.
Full attribution per engagement
Every consultant, every AI session, every equivalent hour — with leverage ratios that prove value to clients.
Prove AI ROI to leadership
Practice-wide adoption rates, leverage ratios, and cost per equivalent hour — the numbers leadership needs to see.
2.5x
Avg leverage ratio
61%
AI adoption rate
$2.40
AI compute per valued hour
847h
AI output valued this quarter
See real engagement margins
When AI compute costs pennies per valued hour, your margins improve dramatically. Now you can see it.
Sound familiar?
Your team used AI to complete a market analysis in 30 consultant-hours. The deliverable quality is exceptional — the kind of work that used to take 80 hours. But you face two conversations: the client asks what they're paying for, and the managing partner asks for proof the firm's AI investment is driving results.
WhoWorked gives you data for both. For the client: you delivered 80 hours of work product. The invoice reflects the value, not the method. For leadership: practice-wide adoption at 61% with leverage ratios proving the AI investment is paying off. Same data, two audiences. You control what each one sees.
Key benefits
Full-value billing
When AI delivers real work for a client engagement, that is billable output. Show clients what was delivered and bill for the amplified value.
Internal ROI proof
Show leadership the leverage ratio, AI adoption rate, and cost per equivalent hour across the practice. Prove the AI investment is paying off.
Margin visibility
See your real cost per engagement when AI is in the mix. Understand how AI changes your margins and price accordingly.
Engagement profitability analytics
Compare human vs. AI cost ratios across engagements. Identify which project types benefit most from AI augmentation.
How it works
Track every engagement
Consultants log hours as usual. When they delegate to AI, they select 'Human with AI' mode and assess the output value in equivalent hours.
Two views, same data
Client-facing: full value delivered. Internal: leverage ratios, AI adoption, cost per equivalent hour. One data layer.
Bill and prove ROI
Invoice based on total value delivered. Report to leadership with practice-wide AI metrics. Same data, two audiences.
Not AI-powered time tracking. AI as a tracked contributor.
Others use AI to help you fill timesheets faster. We track what the AI actually delivered — and compute the leverage.
Others
AI auto-fills your timesheet
WhoWorked
AI work shows up as its own line item
Others
Internal productivity tool
WhoWorked
Client-facing billing + internal ROI in one
Others
No way to show AI investment ROI
WhoWorked
Leverage ratios and adoption rates for leadership
Bill for full value. Prove AI ROI. Same data.
Free to start. Get attribution data from your very first engagement.