Every institutional capital firm solves the same problem the same way: hire more partners. More partners means more coverage, more deal flow, more judgment. But it also means more coordination overhead, higher fixed costs, and judgment that travels at the speed of a human calendar.
Dominion's thesis is different.
An always-on AI mentor council compounds decision quality faster than headcount.
The $777/hr Problem
The average institutional LP meeting costs $800–2,000 in partner time before anyone says hello. Scheduling conflicts, travel, and the simple physics of human bandwidth limit how many advisors a firm can actually deploy at any given moment.
Our AI Advisory Board solves this at the infrastructure level. Fifteen advisors — each trained on decades of real-world capital allocation decisions, frameworks, and hard-won judgment — available on your timeline, at $777 per session.
No calendar conflicts. No travel. No junior analyst buffering the conversation.
Meet the Board
We selected 15 advisors across five categories:
The Dominion AI Advisory Board
Each advisor speaks in their authentic voice — not a summary, not a summary of a summary. The frameworks are theirs. The conviction is theirs.
How We Use It
Deal Screen Review
Before we move forward on any acquisition, we run it through the board. Buffett on valuation discipline. Fink on systemic risk. Dalio on macroeconomic exposure. Thiel on competitive moats. Five perspectives in an afternoon, none requiring a partner flight.
Capital Structure Stress-Testing
Floating-rate debt maturing in a rising rate environment? We run the scenario through Buffett's margin-of-safety framework, Dalio's deleveraging playbook, and Wood's inflation-hedging models. The output is a structured risk brief, not a qualitative guess.
Vertical Acquisition Sourcing
We're active in e-commerce aggregation, AI infrastructure, manufactured home dealers, and data centers. When sourcing targets in any vertical, we query the board for pattern-matching against prior cycles, comparable transactions, and exit environments. It sharpens the thesis before the first call.
Insight Refinement
Every market call we make internally — rate outlook, sector rotation, deployment pacing — goes through the board for stress-testing. Saylor on bitcoin-adjacent positioning. Huang on compute demand curves. Wood on innovation-cycle timing. The feedback loop is continuous and frictionless.
Why It Compounds
Human advisors have a ceiling: time. An AI advisor does not.
Every session adds to the model's contextual depth. Every deal screen enriches the institutional memory. The board gets sharper not linearly with hours worked, but exponentially with decisions made.
A 10-person capital group with a fully deployed AI advisory board can out-reason a 100-person firm with a traditional partner structure — because their infrastructure compounds while theirs only scales.
That's the bet. That's the edge. That's the thesis.