Overview
The platform and the AI infrastructure
The Human Layer Graph
One living model of your workforce
Anima, the engine
Ingest, analyse, transition, traction
Agents, MCP and CLI
Let agents drive the platform
Signals and Integrations
Data in, intelligence out, read-only
Security and TrustEXT
Trust Center
Featured programmes
The four flagship ways in
All programmes
The full library, twelve across three phases
Discovery programmes
Baseline the work, role by role
Transform programmes
Redesign roles, stack and process
Traction programmes
Measure adoption from live systems
Our approach
How AI reshapes work, and how we tackle it
Our experts
AI and domain experts who run engagements
How engagements work
First call to live measurement
Forward-deployed alongside your team
Week by week, and exactly what you see
Why partner
An engine to lead transformations
How it works
You in front, the platform behind
Partner tooling
The MCP and CLI layer, partner-framed
The partner journey, application to renewal
Your agents. Every client's graph.
Insights
Frameworks, research and points of view
Roles
Task-level analysis across roles
Industries
AI impact by sector
By team and leader
Built for every leader
Compare
See how the model stacks up
Trust CenterEXT
trust.inc
Your AI transformation is firing your greatest asset
What is AI workforce transformation?
The challenges you face
AI is changing work faster than organizations can adapt. Sound familiar?
The board wants specifics, not slides
Directors are asking which roles will look different in 18 months and what the headcount implications are. Generic AI readiness decks do not cut it anymore.
No framework for role evolution
You can see that AI coding assistants are changing engineering and chatbots are reshaping support, but you lack a systematic way to assess every role across the org.
Restructuring without a defensible rationale
Every reorg decision gets scrutinized. You need evidence-grounded analysis showing exactly which tasks are automating, augmenting, or staying human.
Workforce anxiety is compounding
Employees read the headlines and assume the worst. Without a clear, role-specific narrative about how their work is evolving, trust erodes.
L&D investment is a guessing game
You are funding AI upskilling programs but cannot tell which skills are emerging, which are obsoleting, or where the real gaps are across departments.
Competitors are already restructuring
Peer companies are combining roles, rewriting job descriptions, and building AI-native teams. You need to move with the same precision or fall behind.
How Human Layer Lab helps
Move from reactive firefighting to proactive workforce strategy
Your own Workforce Strategist agent
APEX gives you a conversational AI agent built for CHROs. Ask it anything about your org's AI exposure, role evolution, or transformation sequencing and get answers grounded in your actual workforce data.
Living Job Descriptions that evolve with AI
Every role gets a forward-designed job description showing what the role needs to become, not just what it is today. Versioned, exportable, and ready for your HRBP team to act on.
Evidence-grounded transformation roadmaps
Six-layer analysis decomposes every role into tasks, scores AI impact, and projects changes at 6, 12, 18, and 24 months. Role combination analysis detects overlap and models potential merges with headcount impact.
Benchmark against market reality
Compare your org's roles side-by-side against our curated Roles Library drawn from government labor data, job market trends, and AI tool maturity tracking across your industry.
Roles we analyze for you
Task-level analysis of the roles that matter most to your organization
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