The AI Execution Gap
Why most companies struggle to turn AI into real outcomes.
Mapping the shift from traditional consulting to AI-native execution.
We track how growing companies buy, scope, and execute AI-enabled operational work — and how operators can adapt, differentiate, and win in this new era.
Most companies struggle to turn AI into outcomes.
Operators are becoming the new execution layer.
Buyers want outcomes, not hours.
Real perspectives from companies and operators.
Six research streams shaping the next era of consulting and operational delivery.
Why most companies struggle to turn AI into real outcomes.
Structural challenges in the current delivery model.
Best practices for defining problems, outcomes, and success metrics.
What builds confidence and drives the decision to buy.
In-demand skills, tooling, positioning, and pricing models.
What types of projects are growing — and what's next.
Benchmarking how companies execute AI projects — and where the gaps are.
A data-driven analysis of how companies are investing in AI, where execution breaks down, and what it takes to close the gap.
Lightweight, credible surveys. Your perspective shapes the next report.
Help us understand how your company buys, scopes, and executes AI-enabled projects — and what drives results.
Share your experience as an operator: your go-to tools, pricing, challenges, and what you're seeing in the market.
Weekly insights, market trends, and research on AI-native execution.