BOSTON AI WEEK 2026 It’s almost here!

We reviewed the public disclosures of 80 institutions across eight sectors: asset owners, asset managers, asset servicers, banks, wealth managers, retirement providers, private equity, and insurance.

Our premise was straightforward: AI control must extend deep — beyond the models and agentic applications everyone sees, through the data centers, computing, and power on which they depend — and wide, across every partner through which AI is deployed, operated, and ultimately relied upon.

To make that measurable, we built the 5×5 Control Matrix™ and applied the same evidence standard across all 80 institutions — 2,000 evaluations through one consistent framework, drawn entirely from the public record.

What the public record shows is remarkably consistent across all eight sectors — and not where most institutions would expect to find it.

60 minutes · Executive briefing · Q&A

Attendees will explore:

• The current state of AI control across institutional finance — and where it's furthest ahead of the disclosure
• Why control clusters overwhelmingly in one part of the AI stack, and what that means for the rest of it
• How Power, Computing, Data Centers, Models, and Agentic Applications fit into the control picture
• The five dimensions of control: Jurisdictional, Logical, Technical, Operational, and Contractual
• Why the gap wasn't explained by size or sophistication — and what that suggests about where the industry actually stands
• The implications for boards and senior executives as AI becomes increasingly autonomous

"Governance expresses intent. Control demonstrates it."

80 institutions. 8 sectors. 2,000 control evaluations.

The research is based exclusively on publicly available information and applies a consistent framework to assess publicly disclosed evidence of institutional AI control across the institutional financial industry and its eight sectors.

The study is designed to provide an industry-level view of AI control, with findings examined by sector. It does not constitute a rating or certification of any individual institution.

The State of AI Control in Institutional Finance — 2026 Edition

Rad H. Pasovschi 

Founder, Chairman & CEO | Institutional AI

Bachelor of Computer Science (BCS) · MBA · CMC · CISA · Oxford OSPA 

Rad Pasovschi founded Institutional AI with a single conviction: the institutions accountable to regulators, fiduciaries, and the public deserve to control the AI that shapes their decisions — not depend on the platforms that provide it.

A computer scientist, certified information systems auditor, and management consultant, Rad has spent three decades in the room where the hardest institutional decisions get made — and has held every seat at the table. As CEO he has built and scaled organisations and set strategies that shaped markets. As COO he has driven enterprise transformations where execution was the only acceptable outcome. As CIO he has rebuilt the technology and data foundations that institutions depend on to govern, compete, and lead.

His professional background spans PwC, Putnam Investments, Deloitte, and Capgemini — across strategy, technology transformation, and governance advisory at institutional scale. The credential set reflects the breadth the mandate requires: computer science, business strategy, certified management consulting, certified information systems audit, and Oxford-trained scenario planning.

At Institutional AI, he is building the AI control architecture and technology approach that reconnects institutional authority with institutional AI — returning control to the organisations that the public, regulators, and beneficiaries depend upon to exercise it responsibly.

"We built this company because the institutions that shape society deserve to control the AI that shapes their decisions."