Six incidents that reached general news each lacked one ordinary access control, and buyers now write those controls into contract terms. The brief names the fifteen controls and the three numbers management should report to the board each quarter. The 15-question AI Agent Security Diagnostic shows which AI agent tasks your current controls already support.
Companies have slowed entry-level hiring in the roles most exposed to AI, and senior engineers now do the work those hires used to do. IT absorbs the extra work, HR controls the hiring budget, and neither department measures both.
Industry-defining research and proprietary frameworks for executives ready to close the gap between AI investment and AI impact.
RBD Co. research briefs and thought leadership reach executives at organizations including PwC, UnitedHealth Group, 3M, Target, Best Buy, U.S. Bank, Wells Fargo, Thrivent, Medtronic, Ecolab, Sleep Number, Fidelity Investments, Evercore, and Old National Bank.
Every published research brief, strategic insight, toolkit, and framework. Complimentary access. Organized by publication quarter.
Six incidents that reached general news each lacked one ordinary access control, and buyers now write those controls into contract terms. Fifteen controls, the three numbers management should report to the board each quarter, and the fifteen-question AI Agent Security Diagnostic.
Agents fail the way people with badges fail. Six incidents in the news, one missing control each, sorted into the four concrete actions a board already takes for people with system access. A contents table up front, four actions, three board questions, and the fifteen-question AI Agent Security Diagnostic.
Companies have slowed entry-level hiring in the roles most exposed to AI, and senior engineers now do the work those hires used to do. IT absorbs the extra work, HR controls the hiring budget, and neither department measures both.
Copilot enforces the permissions already in your tenant, converting latent oversharing into active retrieval at machine speed. For mid-market and non-profit organizations in healthcare and financial services, the gap between access and authorized use is the compliance event. Research findings, regulatory exposure, and the governance architecture that closes it.
The governance architecture for M365 Copilot in healthcare and financial services: six decision nodes, a three-tier risk classification structure, and a three-phase implementation sequence. Companion to the Research Brief.
AI returns show up in earnings before they show up in revenue. Where to look across 28 mid-market public companies for the leading indicator.
Twelve archetypes across four clusters with comp bands, a ten-skill matrix, a priority scorecard that ranks hires from six organizational signals, and a Q1–Q4 hiring sequence that builds automatically from your inputs.
Four independent forces operating on different timelines are converging to dissolve the fixed-hierarchy employment model. The compound effects exceed the sum of any individual trend.
Where enterprise AI spending goes, where value is actually created, and what the 6% generating EBIT do differently. Cross-industry analysis of $2.52T in projected 2026 AI spending against six independent research programs.
What happens to technology strategy when CEO and C-suite leadership changes faster than the planning cycle. How CIOs survive and reposition during mandate resets.
Why the hardest work starts after the systems conversion. The organizational conditions that separate successful post-acquisition integration from technical completions that leak value.
What happens when you can design the organization around AI from day one. The structural advantage of building without inherited debt, and the risks of over-investing before capacity is established.
Why the richest proprietary data assets capture the least value. The organizational design gap between data capability and data value capture across six industries.
Why enterprise platform investments fail at the organizational level, not the technical level. Absorption capacity, fragmented tech leadership, and the implementation-to-operations knowledge transfer gap.
Why partnership governance models uniquely constrain enterprise AI deployment. Free-rider problem, federated structures, and verein dissolution as governance reform.
Why data-rich regulated financial institutions systematically fail to operationalize data products. Compliance review architecture as the bottleneck, not technology.
Why the dominant alignment-based AI operating model consistently underperforms, and what design-based alternatives look like when informed by neuroscience, network science, and complex systems theory.
Why the binding constraint on platform investment value is the organization asked to absorb the technology, not the technology itself.
A comparative evaluation of embedded, reasoning, and specialized AI tools with selection criteria for enterprise deployment.
The ownership, portfolio, and governance decisions that distinguish organizations scaling AI from the majority stuck in pilot.
Five risk domains boards must govern within 24 months, with a 90-day action playbook for each.
Task identification methodology, scoring criteria, and implementation sequencing drawn from 37 enterprise deployments.
How physical limits on compute scaling are forcing fundamental shifts in model design, deployment, and enterprise cost structure.
30 minutes with the analyst behind every brief in the Intelligence Center.