Dipp AI Research · Volume I
The Enterprise Superintelligence Report
Published 10 August 2026. A field study of what enterprises actually deployed, what went wrong, and the architecture the evidence points to.
37 pages · 191 citations · Free to read
Contents
- 01
The trust gap
Production adoption at 78% against 28% traceability, and the incidents that followed.
- 02
Oversight theater
Why Human-in-the-Loop fails under volume, bias, timeouts, and missing authority.
- 03
Human-in-the-Role
Binding action to the authority of a named professional, enforced at execution.
- 04
The control plane
Seven components across two layers, and the failure mode each one answers.
- 05
Protocols and fabric
MCP, A2A, ACP, and why interoperability is not authorization.
- 06
Economics
The Big Model Fallacy, a 4,500× price spread, and verified execution as the unit of value.
- 07
Standards and outlook
Regulatory regimes, benchmark gaps, and where accountability settles next.
Headline findings
What the 2026 data showed
78%
of enterprises run agents in production
p.2
54%
reported an agent-related incident
p.2
34.8%
of AI traffic carries sensitive data
p.24
4,500×
price spread across models and providers
p.25
Selected figures
Straight from the report
Read it, cite it, challenge it.
Vol. I is free to read and intended to be argued with. If you have a counter-citation, send it.