LoginStart Free Assessment
Workforce Engagements

Measured workforce resets, not slide decks.

Anonymised company engagements with before-and-after Workforce Index readings, the specific structural moves taken, and the quantitative outcomes that followed.

3 workforce engagements6-month horizon
How these engagements work

Workforce structure, measured at two points in time

Each engagement pairs an initial Workforce Index reading with a re-read six months later, after leadership has implemented the specific structural moves the first reading identified. The metrics that shift, exposure distribution, authority density, archetype mix, are the real proof of whether the intervention landed, not the volume of initiatives launched.

Company names are anonymised and replaced with sector, size band, and role count so the structural pattern is readable without exposing specific clients. Every engagement shown used the same deterministic scoring framework individuals see on the personal assessment, applied at the aggregate workforce level.

Workforce Engagement·Software / Product·180 employees

Series B SaaS Company

Horizon: 6 months
Workforce Index
487
638
+31%
High exposure share
42%
19%
-23 pts
Strategic density
18%
34%
+16 pts

Series B SaaS company ran the workforce-level Index across 180 employees after the leadership team committed to an AI-first operating model. The initial reading flagged 42 percent of roles in the high compression band, concentrated in marketing coordination, support, and mid-level engineering. The plan sequenced three structural moves over six months: a promotion path for production-layer staff into architectural work, a reshape of the support function around AI-assisted tooling with a new senior escalation layer, and a hiring freeze on routine coordination roles. Six months later the workforce index had risen 31 percent and the share of roles in strategic density doubled.

Structural moves
  • Repositioned 24 roles out of the high-exposure band via authority migration, not headcount cuts.
  • Restructured the support function around AI-assisted workflows with a senior escalation tier, reducing routine-handling headcount by 35 percent while improving CSAT.
  • Froze hiring on 12 flagged coordination roles and redirected backfill budget into 4 architectural hires.
Measured outcomes
  • Workforce Index rose from 487 to 638 (+31%) across the 6-month engagement.
  • High-exposure role share fell from 42% to 19%.
  • Strategic density (authority-band roles carrying system ownership) almost doubled from 18% to 34%.
  • Average role-level compensation grew 11% as role scope shifted upward.
"The workforce reading turned a vague AI anxiety into a specific programme. Three structural moves, all sequenced, all measurable. We came out of six months with a stronger operating model, not a smaller one."
Chief Operating Officer, Series B SaaS Company
Workforce Engagement·Management Consulting·120 employees

Mid-Market Professional Services Firm

Horizon: 6 months
Workforce Index
522
661
+27%
High exposure share
38%
21%
-17 pts
Strategic density
22%
39%
+17 pts

Mid-market consulting firm whose delivery model depended on associates producing templated research, decks, and analytical models. Initial workforce reading flagged that the compression pressure was concentrated in the associate and senior-associate layers. The partner team committed to repositioning the delivery model around structured judgment rather than document production. Over six months the firm restructured the associate development path, automated the document-production layer, and moved billable hours toward framing and decision support rather than output volume.

Structural moves
  • Rebuilt the associate development path around specialist judgment work, with templated deliverables moved to AI-assisted stacks and reviewed by senior staff.
  • Paid differently 40 percent of engagements from time-based billing to outcome-based retainers tied to specific decisions.
  • Created a dedicated AI-workflow architect role at the director level, reporting to the managing partner.
Measured outcomes
  • Workforce Index rose from 522 to 661 (+27%).
  • High-exposure role share fell from 38% to 21%.
  • Average revenue per billable employee grew 18% on a flat headcount.
  • Associate retention improved materially (exit interviews flagged the new development path as a stated reason).
"We had spent a year talking about AI at a conceptual level. The workforce reading forced a real conversation about what our delivery model actually was, and gave us a structured path to better-paid, higher-leverage work."
Managing Partner, Mid-Market Professional Services Firm
Workforce Engagement·Creative / Agency·60 employees

Growth-Stage Creative Agency

Horizon: 6 months
Workforce Index
468
612
+31%
High exposure share
48%
22%
-26 pts
Strategic density
14%
31%
+17 pts

Growth-stage brand and content agency facing direct AI compression in design production, copywriting, and routine video editing. The initial workforce reading flagged nearly half of the team in the high compression band. The founders repositioned the agency around brand systems, strategic direction, and methodology ownership rather than production output. Production-layer staff were given explicit migration paths into creative direction, strategy, or AI-workflow design. The result was a smaller, higher-authority team earning more on a higher-margin proposition.

Structural moves
  • Closed the dedicated production pool (8 roles) and moved the work onto AI-assisted stacks supervised by senior creatives.
  • Opened migration paths for 6 production-layer staff into strategy, methodology authorship, and AI-workflow design.
  • Restructured pricing around brand-system governance retainers, shifting revenue off hourly production billing.
Measured outcomes
  • Workforce Index rose from 468 to 612 (+31%).
  • High-exposure role share fell from 48% to 22%.
  • Strategic density (authority-band roles) more than doubled from 14% to 31%.
  • Average client engagement value grew 42% and gross margin improved by 9 points.
"We could see the compression coming. What we did not have was a structured way to reshape the team before the bottom fell out. The workforce reading gave us both the diagnosis and a sequence of moves we could actually run."
Founder and Creative Director, Growth-Stage Creative Agency

Ready for a workforce reading on your own team?

See the enterprise pricing tiers or book a discovery call with the team.

Cases are anonymised composites drawn from real workforce engagements. Metric changes reflect actual reading output for the interventions described and are not guarantees of outcome for any individual organisation.

Testimonials

What Professionals Are Saying

All testimonials →

"The framework talks about the middle of the authority stack hollowing out, and I realised I was sitting in exactly that position. The migration path it recommended felt obvious in retrospect but had been invisible to me. I moved on it the following quarter."

Elena Ricci
Elena Ricci
Senior Account Director · Milan, Italy

"I run a team of data analysts and wanted to understand which of my reports were at structural risk. The workforce reading made the compression visible, team by team. Two weeks later I restructured scope assignments and the team is already doing higher-leverage work."

Kwame Addo
Kwame Addo
Head of Data · Nairobi, Kenya

"Most career tools focus on what you want. This one focused on where the market is actually wage shifts work. That reframe alone was worth more than a year of coaching. My next move is the first one I have chosen with structural data behind it."

Freya Andersen
Freya Andersen
UX Research Lead · Copenhagen, Denmark

Measure Your Position with AI Career Index

Take the AI Career Snapshot to see your structural leverage, automation exposure, and growth trajectory with AI Career Index.