Industry Insights

Reports & Whitepapers

Original research on how enterprise teams are building, deploying, and governing AI agents — produced independently and shared free.

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New research · 2026

The Hidden Disconnects in Enterprise AI

Seven tactics for aligning coding agents and business agents

Why most enterprises run two parallel AI strategies — and what high-performing teams do differently. Based on interviews with 100+ enterprise leaders.

  • 53%build and govern coding and business agents separately
  • 46%are unsure how often AI access to their systems is monitored
  • 1 in 5link agent deployments to business goals by defined process

Co-authored by Erik Wilde & Frank Kilcommins · Independent research led by analyst Mark Boyd

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New research · 2026

Discoverable by Design

How API description quality drives AI agent performance

New research benchmarking 8,467 operations across 70 real enterprise APIs: improving API description quality and search lifts agent retrieval accuracy from 59% to 94% — better data beats a bigger model.

  • 94%agent retrieval accuracy after improving descriptions and search
  • ~80%model-cost reduction using a smaller model, with no loss in selection accuracy
  • 43%of catalogued API operations have both a summary and a description

Research led by Adam Bermingham (Head of Data) & Emma Murphy

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