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


AI is changing work faster than organizations can adapt. Sound familiar?
AI summarizes customer interviews, analyzes competitor positioning, and generates market insights in minutes. Your UXR function needs a fundamentally different charter.
AI generates mockups, variations, and interactive prototypes faster than your design team can review them. The value is moving to creative direction, brand systems, and design judgment.
AI creates more options, more experiments, more data points. Your PMs are drowning in possibilities instead of making the sharp product bets that drive outcomes.
When AI capabilities span product, engineering, and design, traditional spec-to-build-to-test workflows create friction. You need new collaboration models.
If AI can prototype in hours, leadership asks why shipping takes months. Your org structure creates latency your competitors are eliminating.
Teams of 5 with AI-native workflows ship what used to take teams of 25. You need to understand how to restructure or watch market share erode.
Move from reactive firefighting to proactive workforce strategy
APEX includes Role-Specific Agents that analyze PM, design, and research roles individually. Get conversational, deep-dive analysis on how each function evolves, not just a static report.
Forward-designed job descriptions for every product role showing what it needs to become. From AI-augmented PM to creative director to research strategist. Versioned and ready to share with your team.
Canonical skill taxonomy tracks which product skills are emerging, which are obsoleting, and where gaps are forming. Cross-role analysis highlights where to invest in development.
Compare your product org's roles side-by-side against curated industry benchmarks. Understand where AI-native teams are structured differently and what that means for your hiring and team design.
Task-level analysis of the roles that matter most to your organization
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