The platform and the AI infrastructure
One living model of your workforce
Ingest, analyse, transition, traction
Let agents drive the platform
Data in, intelligence out, read-only
Trust Center
The four flagship ways in
The full library, twelve across three phases
Baseline the work, role by role
Redesign roles, stack and process
Measure adoption from live systems
How AI reshapes work, and how we tackle it
AI and domain experts who run engagements
First call to live measurement


An engine to lead transformations
You in front, the platform behind
The MCP and CLI layer, partner-framed


Frameworks, research and points of view
Task-level analysis across roles
AI impact by sector
Built for every leader
See how the model stacks up
trust.inc


We measure the real impact of your AI investment across your workforce and show you exactly how to redeploy the people and capacity it frees up.
Connected signals and adoption tracking
ChatGPT
AI Tool
847 sessions/mo
Claude
AI Tool
312 sessions/mo

Cursor
AI Tool
156 sessions/mo
GitHub Copilot
AI Tool
423 sessions/mo

Linear
Project Management
2.4k issues tracked

Monday
Work Management
1.8k items/mo
ChatGPT session detected
Copilot completion accepted
Claude conversation started
Jira task auto-categorized
We don't rely on surveys or self-reported data. Traction connects directly to the systems where work happens to build a real-time picture of your AI transformation.
See everything the platform connects toSignal coverage
Connect ChatGPT, Claude, Cursor, Copilot and see real adoption data. Not licence counts. Actual usage, by team, by role.
Connect Toggl, Jira, HRIS, and time tracking to see how work patterns are shifting as AI tools take hold.
Always-on crawl of AI tool maturity, adoption evidence, displacement patterns, and emerging roles across your industry.
Re-analyse roles over time. Did automation land as predicted? Are projections tracking? What surprised you?
AI tools are live across your organisation. Budgets are committed. But there's no structured way to know whether those tools are changing how work actually gets done, which teams are leading adoption, and what should be happening to your roles and org structure as a result.
Common symptoms
See which teams are leading AI adoption, where training is landing, and where it's stalling. By team, by role, by function.
Track hours freed per role. See where capacity is being created and how to redeploy your people into higher-value work.
Understand which skills are available to redeploy, where new capabilities are emerging, and how roles should evolve as the wins get banked.
Connect your HRIS or browse our pre-analysed role library.
AI tools, internal systems, and market intelligence.
Our AI engine analyses every role across six intelligence layers.
Ongoing transformation reports across re-analysis cycles.
Measuring traction is only half the picture. As hours get freed and tasks shift, your roles don't stay the same. Neither should your org structure. HLL generates Living Job Descriptions that evolve in real time as roles change.
The platform surfaces where roles are overlapping, where they're naturally merging.
Entirely new roles are emerging from the capacity you've unlocked.
JDs that evolve in real time as roles change with every re-analysis cycle.
Every re-analysis builds on the last, giving you a longitudinal view of your transformation, not a snapshot.
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