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Reports, research notes, and technical papers from Dipp AI Research. Search by topic or date; registered readers can download the full PDFs.
Featured report
The Enterprise Superintelligence Report, Vol. I
The Enterprise Superintelligence report, Volume I: why autonomy stalls at the control layer, and the seven components an enterprise needs before an agent may act on its systems of record.
Volume I establishes the category: enterprises are not short of capable models, they are short of a control plane that can name who authorized an action. The report documents the incidents, sets out Human-in-the-Role as the accountability model, specifies the seven components of Orcher, and defines the Verified Execution Cycle as the unit of value. 191 citations.
Figure · Orcher™
Executive summary — headline findings
FIG. P03-01
78%
of enterprises run AI agents in production
Vol. I, p.3
28%
can trace an agent action end to end
Vol. I, p.6
54%
reported an agent-related incident
Vol. I, p.2
38%
can name an accountable owner
up from 7% — Vol. I, p.2
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Orcher early access · invitation only
We are opening Orcher to a small cohort of enterprises that must close the AI trust gap.
Applications are read by the founding team. We take workflows where an autonomous action touches a system of record and someone has to answer for it — claims, care decisions, credit, filings, dispatch, procurement. Approved organisations get an invitation, a workspace, and a briefing with the people who built the control plane.
For enterprises closing the AI trust gap · one workflow to start
01
Apply with one workflow
One class of directive, the system of record it touches, and the obligation behind it.
02
The founding team reads it
A decision against the current cohort, normally inside one business day.
03
Invitation opens the account
Accounts only open for invited work addresses. Nothing self-provisions.
04
Workspace tracks the deployment
Status, briefings, invitations and the research library in one place.
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