Local productivity is not organizational productivity.
People can produce more and faster while company-level throughput, revenue, or decision speed remains unchanged.
About us
AI gave our teams more capacity to produce. It also exposed how many decisions, handoffs, controls and management habits were designed for a world where production—not judgment—was scarce.
Why H+AI Work
Knowledge work can now be produced in minutes. But producing more analysis, recommendations and scenarios does not automatically produce better decisions.
The bottleneck moves: toward specification, validation, prioritization, coordination and accountability. Managers inherit more output than the organization can intelligently absorb.
We started H+AI Work to understand that shift with the leaders experiencing it—and to develop practical ways to redesign workflows around human judgment and AI capacity.
Working hypotheses
People can produce more and faster while company-level throughput, revenue, or decision speed remains unchanged.
More analyses and recommendations increase the work of validating, prioritizing, coordinating, and deciding.
Access to AI matters less than redesigning triggers, handoffs, controls, decision rights, and accountability.
The scalable model routes people the decisions, risks, and edge cases where accountability creates the most value.
Research approach
We study the actual workflow, not the AI tool in isolation.
We look for cycle time, rework, review burden and decision latency.
The methodology develops alongside leaders working through the problem.
Founding research team
This is not a collection of AI résumés. It is a working team spanning growth, workforce transformation, finance, innovation and systems architecture—the functions that have to come together when work itself changes.
Build the evidence with us
We’re speaking with executives across the Americas and selecting a small group of design partners.
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