The Blind Spot at the Centre of Your AI Transformation

April 23, 2026

While many organizations have the ambition to generate value from AI, McKinsey’s 2025 research found that only 6% are achieving a meaningful bottom-line impact. The challenge for People Analytics and Transformation leaders is a "blind spot" at the center of their strategy: they can measure the workforce through job titles and headcount, but they cannot see the specific tasks that drive work. This whitepaper introduces Work Intelligence—the missing data layer that provides task-level visibility to make AI transformation predictive, executable, and commercially defensible. By moving beyond static job architectures and periodic assessments, leaders can finally connect workforce decisions to financial outcomes with auditable evidence.

What’s inside:

The Four Approaches to Analysis: Why traditional and strategic models fail to keep pace with AI, and how the "Intelligent" approach identifies automation propensity in weeks.
The Executive Agenda: How to answer the critical questions boards are asking about capacity release, skill amplification, and role redesign.
A New Data Foundation: How Work Intelligence infers organizational "ground truth" from existing HRIS data without complex IT integration or PII.
Quantified ROI: Strategies to move from job-title-based estimates to real-time, task-level modeling of AI impact.
Transformation Sequencing: How to identify where to focus first based on task concentration rather than function size to ensure the highest return on investment.