Generative AI Fundamentals Map
Map/Agents and organisations/Wave 7

Knowledge-rich agents

Agents that carry company and personal context across sessions and people.

stageEmerging Open on the map →

Facts

Lane
Agents and organisations
Wave
7 of 12 (build order, not a date)
Needs
16 boxes all the way back through hard links
Unlocks
3 boxes downstream through hard links
Leverage
0.4 points · stands in the way of 3 of 53 stages · rank 23 of 57
Cluster
Agents at work
When
Researcher estimate: 2026 to 2029

Evidence as of October 2026

The MIT NANDA report blames most stalled enterprise pilots on a "learning gap": tools that cannot keep feedback or absorb a company’s own processes.

  1. 01Why 95% of AI pilots fail, on the MIT NANDA report (VC Cafe)
  2. 02Are we in a continual learning overhang? (LessWrong, Jan 2026)

Watch
Repeat-error rate inside one company. Share of answers grounded in company data.

Timeline note
My estimate. Memory and connectors are shipping now, but reliable company-wide use is not yet common.

  1. 01Why 95% of AI pilots fail, on the MIT NANDA report (VC Cafe)

Around it

Needs · 7
Unlocks · 1

Loops and off-ramps

Openings researchers' judgement, October 2026 scouting

Startup room 40/100 · rank 60 of 124 Research room 35/100 · rank 101 of 124
Crowding5 Lab overlap5 Small-team fit2 Buyer today4 Research openness3
Depth
deep
Players
Glean ($300m ARR); Microsoft Copilot (30M+ seats); Atlassian Rovo; Notion; OpenAI Frontier; Dust ($40m B); Interloom ($16.5m)
Wedge
Cross-system adjudication (which source wins when systems disagree, who may supersede a fact) or vertical knowledge agents in regulated case work, the Interloom pattern. startup
  1. 01OpenAI: Introducing Frontier
  2. 02Sifted: Dust $40m B
  3. 03Interloom seed announcement