Generative AI Fundamentals Map
Map/Agents and organisations/Wave 1

Workflow redesign

Organisations change how work flows so agents fit into it.

capabilityEmerging Open on the map →

Facts

Lane
Agents and organisations
Wave
1 of 12 (build order, not a date)
Needs
0 boxes all the way back through hard links
Unlocks
5 boxes downstream through hard links
Leverage
2.3 points · stands in the way of 4 of 53 stages · rank 3 of 57
Cluster
Assistants and the public

Evidence as of October 2026

METR found experienced developers 19% slower with AI tools while believing they were faster. Most enterprise pilots stall on integration and workflow, not on the model.

  1. 01METR: AI coding can make developers slower (The Decoder)
  2. 02Why 95% of AI pilots fail, on the MIT NANDA report (VC Cafe)
  3. 03Anthropic Economic Index report

Detail boxes 1

Firm adoption breadth capability · Emerging · helps, not required

The share of companies actually using AI in their work.

19.8% of US firms used AI in May 2026, against 37% of firms with 250 or more staff.

  1. 01US Census Bureau: AI use by businesses (May 2026)

Around it

Needs · 2
Unlocks · 6

Brakes

Works against this box

Loops and off-ramps

Openings researchers' judgement, October 2026 scouting

Startup room 99/100 · rank 2 of 124 Research room 66/100 · rank 9 of 124
Crowding4 Lab overlap4 Small-team fit3 Buyer today5 Research openness3
Depth
deep
Players
Distyl ($175m B, $1.8bn); AuxoAI ($20.7m A); Accenture FDE practice; OpenAI, Anthropic, Google FDEs; Palantir
Wedge
Productise forward-deployed work: mine agent and human traces into a redesigned back-office workflow with its skills and evals, where NANDA finds the best ROI. startup
  1. 01Fortune via Yahoo: MIT NANDA 95%
  2. 02Crunchbase News: Distyl $175m
  3. 03FM Magazine: McKinsey State of AI