Cover image for Teams that coordinate effectively will win.

The Future Belongs to Teams That Coordinate

Kadhir Mani

(4.2 minutes)

<audio url="https://api.productnow-prod.com/storage/getStorageObject?storageObjectId=22cbd071-049c-4447-8327-7046e758330f"></audio> As AI expands execution capacity, the next bottleneck will be coordination. When coding gets cheaper, the edge shifts to deep alignment — keeping humans on judgment while decisions compound across people and agents. The hard part is not producing more output; it is keeping that output pointed in the same direction. Winners will not just ship faster. They will write it down, align early, and build a system where every decision compounds rather than collides. Key takeaway: when execution becomes abundant, clarity becomes scarce. We think the teams that coordinate exceptionally well win long term. <h2 id='b7ad7cc4-9575-4856-b0e2-c468f352e851'>From Software Execution to Coordination</h2>What changes when code gets cheap? The bottleneck stops being execution capacity — how much software a team can produce — and starts being coordination capacity: aligning attention, judgment, and handoffs. AI lowers the cost of making things, but it does not lower the cost of confusion. In practice, that means the scarce advantage is no longer adding more manual output, but directing people and agents toward the same goal with less drift <web-citation data-url="https://www.bcg.com/publications/2023/how-people-create-and-destroy-value-with-gen-ai" data-title="BCG: How People Can Create—and Destroy—Value with Generative AI"></web-citation>. <callout icon="target" color="#3E63DD">We think of an orchestra, instead of a factory.</callout>A factory wins by repeating a fixed task; an orchestra wins only when everyone shares the score, the tempo, and the cue points. That is the shift here: the teams that will compound decisions fastest are the ones that make alignment cheap and repeated, not the ones that simply generate more features. And yet, making good decisions is still genuinely hard. More information does not automatically mean better judgment — it can just as easily mean more noise, more options, and more pressure to act before the picture is clear. AI can surface context faster, but it cannot tell you which tradeoffs matter most to your team, your users, or your moment. That part still requires human experience, trust, and the willingness to commit under uncertainty. Research on agentic enterprises and human-AI work supports that the advantage moves toward organizational design, decision rights, and oversight, not raw autonomy <web-citation data-url="https://sloanreview.mit.edu/projects/the-emerging-agentic-enterprise-how-leaders-must-navigate-a-new-age-of-ai/" data-title="MIT Sloan Management Review + BCG: The Emerging Agentic Enterprise"></web-citation> <web-citation data-url="https://www.nber.org/system/files/working_papers/w31161/w31161.pdf" data-title="NBER: Generative AI at Work"></web-citation>. <radar-chart data-width="600" data-height="420"><radar-slice color="#8B5CF6" data="[{"name":"Coordination","value":95},{"name":"Shared Context","value":90},{"name":"Adaptability","value":85},{"name":"Role Clarity","value":75},{"name":"Human Judgment","value":90},{"name":"Output Predictability","value":55}]">Orchestra</radar-slice><radar-slice color="#F59E0B" data="[{"name":"Coordination","value":40},{"name":"Shared Context","value":35},{"name":"Adaptability","value":30},{"name":"Role Clarity","value":90},{"name":"Human Judgment","value":45},{"name":"Output Predictability","value":95}]">Factory</radar-slice></radar-chart> <h2 id='1744abdd-f1ac-46e6-b9d2-dca636c76a6a'>Clear Ownership, Clean Handoffs</h2>Swim lanes, not silos. One owner per lane means fewer overlaps, faster handoffs, and clearer accountability. Keep work single-threaded where possible: one lane, one decision-maker, one path to done. That is how a team stops spending energy on negotiation and starts spending it on execution. Humans keep judgment. People own framing, RFCs, and cross-functional calls; agents handle the routine, reversible, low-leverage work. That keeps human attention on the few decisions where alignment really matters. The point is not more automation for its own sake; it is better use of scarce human judgment. Winning teams do not win by spreading responsibility thin. They win by making ownership explicit, surfacing only the decisions that need human judgment, and letting everything else move through clean handoffs. Clear lanes create speed because they reduce overlap; they create accountability because there is no ambiguity about who moves next. That distinction matters more as AI gets better. In BCG’s study, creative work improved for most people, but business problem-solving outside the model’s competence frontier got worse, which is a sharp reminder that speed still needs judgment <web-citation data-url="https://www.bcg.com/publications/2023/how-people-create-and-destroy-value-with-gen-ai" data-title=""></web-citation>. In the NBER deployment, agents got faster when AI handled routine guidance, while humans still owned the conversation and could ignore bad suggestions <web-citation data-url="https://www.nber.org/system/files/working_papers/w31161/w31161.pdf" data-title=""></web-citation>. That is the operating principle here: delegate the reversible work, keep the decisions that shape outcomes, and make the handoff obvious. <callout icon="lightbulb" color="#8B5CF6">This works because coordination gets simpler when the team protects attention: fewer overlaps, fewer exceptions, and fewer meetings to resolve avoidable ambiguity.</callout> <h2 id='e4ff2dc0-db6a-4bfc-ba24-01cf5ba8f8e0'>Practical Implications, Evidence, and Takeaway</h2><tabbed-card data-active-tab="implications"><tab-panel data-tab-id="implications" data-label="Implications">Org design: fewer ad hoc handoffs, more written alignment. RFCs, clear owners, and risk-based decision forums reduce ambiguity. Humans frame the problem and approve the call; agents gather context and surface options. That shifts management from chasing status to shaping judgment. Process and tools: docs become the shared workspace for humans and agents. The flow is plan-in-repo, agent-assisted context gathering, RFC conversion, first-pass agent review, team iteration, final human stamp, then syncing drift back into the doc. Tools should route work to the right reviewer with guardrails and explicit handoffs, not spray context across the org. This is coordination software, not just productivity software.</tab-panel><tab-panel data-tab-id="evidence" data-label="Evidence">BCG found GPT-4 helped ideation but could hurt problem-solving outside its frontier — a sharp reminder that speed still needs judgment.<web-citation data-url="https://www.bcg.com/publications/2023/how-people-create-and-destroy-value-with-gen-ai" data-title="BCG: How People Can Create—and Destroy—Value with Generative AI"></web-citation> NBER reported a 14% productivity lift in a real support deployment, with the biggest gains for novices and humans still in control.<web-citation data-url="https://www.nber.org/system/files/working_papers/w31161/w31161.pdf" data-title="NBER: Generative AI at Work"></web-citation> MIT Sloan / BCG argues the advantage comes from redesigning decision rights and orchestration, not just adopting the tech.<web-citation data-url="https://sloanreview.mit.edu/projects/the-emerging-agentic-enterprise-how-leaders-must-navigate-a-new-age-of-ai/" data-title="MIT Sloan Management Review + BCG: The Emerging Agentic Enterprise"></web-citation> Deloitte argues decision-making should be treated as a discipline, with owners, guardrails, and clear speed by decision type. OpenAI's agent guidance and Anthropic's framework both emphasize clear interfaces, checkpoints, and simple workflows.</tab-panel><tab-panel data-tab-id="takeaway" data-label="Takeaway">More checkpoints can feel heavy, and that concern is real. But the answer is better coordination, not less. The real edge belongs to organizations that coordinate human attention well at scale — they will outperform teams that merely execute faster.</tab-panel></tabbed-card> The teams that win won't just move faster by shipping more code — they'll keep people focused on the right things, and let agents take care of everything else.

Published

May 1, 2026

Keep reading

ProductNow's engineering playbook

ProductNow's engineering playbook, how we ship and build sustainably.

ProductEngineering