Before widespread GenAI
Production capacity constrained organizational throughput.
Executive research initiative · Americas
We’re working with executives to redesign how knowledge work is delegated, produced, validated and turned into decisions when human teams operate alongside AI.
For leaders of 200–2,000 employee organizations
Market recommendation
Hiring scenario
Customer-risk plan

The thesis
When the cost of producing analysis collapses, organizations create more of it. The scarce resource becomes managerial attention: specifying the right work, validating quality, choosing priorities and acting on recommendations.
Production capacity constrained organizational throughput.
Judgment, coordination and decision speed become the constraint.
Bolt AI onto yesterday’s workflows and you get more activity. Business performance doesn’t follow.
What we’re investigating
Sales reps build account plans in minutes. Managers still review every deck, and the best opportunities wait.
Finance drafts forecasts faster, then moves them through the same spreadsheet handoffs. Decisions still arrive late.
AI flags a customer at risk, but no one owns the escalation. The response stalls while a competitor moves.
Who should participate
We want candid conversations with CEOs, COOs, and functional executives in digitally mature organizations across the United States and Latin America.
One recurring knowledge workflow
Where AI is already being used
What still slows decisions down
A sharper diagnosis of the constraint
Relevant patterns observed across organizations
A concrete workflow-redesign hypothesis
Design partner track
We’re selecting a small group of organizations for a structured AI Work & Management Diagnostic. We’ll map high-value workflows, locate the new bottlenecks, and identify three measurable redesign opportunities.
Participate
Tell us where work still gets stuck. We’ll review the context ourselves and follow up if the research conversation is a strong fit.