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?
AI SDRs generate volume, not quality pipeline
Every vendor promises automated prospecting. In practice, spray-at-scale damages your brand, burns leads, and tanks reply rates. You need to know which SDR tasks genuinely benefit from AI and which do not.
The SDR-to-AE handoff model is obsolete
AI is transforming prospecting and qualification, but not relationship-building or closing. Your handoff model was designed for a volume-based world that no longer exists.
Top SDRs are leaving for orgs with a plan
Your best performers see the trajectory. Without clear career paths that show how sales roles evolve alongside AI, they will move to companies that have figured it out.
Volume-based outbound is hitting a wall
Inbox filters are tighter, prospects are numb to templated outreach, and reply rates are declining quarter over quarter. AI enables precision, but your org is still structured for volume.
RevOps is drowning in tool sprawl
Every new AI sales tool creates another data source, another integration, and another reporting dimension. Your revenue operations team is spending more time managing tools than optimizing revenue.
Capacity models no longer make sense
Traditional quota math assumes human SDRs doing human-speed prospecting. AI changes the coverage, capacity, and comp equations. You need new models grounded in how work is actually changing.
How Human Layer Lab helps
Move from reactive firefighting to proactive workforce strategy
Quadrant analysis for every sales role
Each task across SDR, AE, AM, and RevOps is classified as automate, augment, protect, or monitor. See exactly where AI creates leverage and where human judgment stays essential.
Living JDs that show your team their future
Forward-designed job descriptions for every revenue role showing the evolution from volume prospector to precision strategist. Retain top talent by making the career path concrete and visible.
Role combination and headcount modeling
Detect task overlap between SDR, BDR, and RevOps roles. Model potential merges with headcount and capacity implications. Build restructuring plans grounded in evidence, not gut instinct.
Market benchmarks from real signal data
Compare your revenue org against industry benchmarks from our Roles Library. Signal intelligence tracks AI tool adoption in sales, job market shifts, and emerging role patterns across your sector.
Roles we analyze for you
Task-level analysis of the roles that matter most to your organization
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