One model
is a guess.
Five models
is a decision.
Decision infrastructure for high-stakes AI.
A single-model answer is a liability for anyone who has to defend the decision.
- — One confident answer
- — Hidden uncertainty
- — No preserved alternatives
- — No attributable reasoning
- — Nothing compliance can file
- — Independent second opinions
- — Calibrated confidence
- — Preserved dissent
- — Source-attributable reasoning
- — A timestamped, tamper-evident decision record
Documentation
isn't optional.
The SEC's 2026 Examination Priorities (released 2025-11-17) named adviser AI use and recommendation documentation as focus areas. Reg BI requires a documented basis. The Marketing Rule requires substantiation. Books-and-records rules require retention. The Council produces what each one already requires.
17 CFR 240.15l-1 · documented basis for recommendations
Rule 206(4)-1 · substantiation file for AI-assisted advice
17a-4 (BD) / 204-2 (RIA) · retained, retrievable, audit-grade
The Council — five roles, structured output, preserved dissent.
Input → parallel role execution → synthesized decision record.
Real advisory decision record.
Primary risk is locking up liquidity for incremental yield without confirming emergency cash and near-term spending needs.
Create a side-by-side comparison: money market liquidity, GIA guarantee, term annuity rate/term, surrender schedule, tax treatment, and worst-case exit scenario.
If the client's objective is principal preservation and predictable income, a partial allocation is more defensible than an all-or-nothing move.
Remaining in money markets is rational when liquidity, simplicity, and optionality matter more than locking in a higher stated rate.
In this scenario, the Council surfaced trade-offs — liquidity, guarantees, tax impact — not present in a single-model response.
material risk surfaced in every comparison
single-rater assessment · external grader audit available on request
Roles are fixed. Models are routed empirically.
Goldman buys Devin for engineering. Sierra for customer service. Teranode for the advisor function. Three different buyers, three different budgets, three different jobs at the same firm. We are the third buy, not the head-to-head.
- — Routing logic: which model for which role, by domain
- — Synthesis logic: how the Chairman reconciles dissent
- — Eval methodology: head-to-head A/B, persisted to trend table
- — Reliability graph: the outcomes ledger that feeds routing
Why this compounds — starting with real decisions
The Council was validated against representative advisory scenarios drawn from prior client-decision work. Each session produces structured reasoning by role, preserved dissent, and a timestamped decision record.
- — Advisor review · what changed vs a single-model baseline
- — Client outcomes · where observable
- — Compliance lens · defensibility of the recommendation
Result: initial reliability signals by role and decision type. Routing adapts based on observed patterns.
The Council never receives client identifiers, contact information, or account numbers. Sierra processes customer conversations. Cognition processes codebases. We process an advisor-typed scenario and produce a record encoded into a URL. No server-side persistence; no PII in telemetry. Verifiable in source.
Financial advisory first — where explainability is already a compliance feature.
~300,000+ licensed financial advisors in the U.S., each making frequent, defensible client recommendations — documented manually today.
FINRA-regulated workflow. Documented reasoning and preserved dissent are exactly what compliance asks for.
The founder validates the Council against representative advisory scenarios designed from fourteen years operating across institutional research and trading — the same workflows the Council was built to support.
Advisors already document reasoning for every recommendation — the Council replaces a manual compliance process with a structured, auditable record.
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01Financial advisoryFINRA · licensed · client-facingbeachhead · 2026
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02Legal brief reviewdocument-grounded · defensiblenext
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03Clinical decision supportsecond-opinion · auditablenext
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04Enterprise operationshigh-stakes · cross-functionalnext
Regulators are moving. Models are multiplying. Audit trails stop being optional.
- APR 2025 FINRA AI guidance issued — supervision of AI-assisted recommendations required
- AUG 2026 EU AI Act high-risk classification enforced — financial-advice AI in scope
- PENDING SEC predictive-data-analytics rule for advisors
By the time these land, firms without documented AI supervision processes will be building them under enforcement pressure — not ahead of it.
Enterprises are already multi-model in practice — ad-hoc, unattributed, unauditable. The evaluation layer is the missing piece.
required
As AI is used in regulated workflows, auditable decision records move from optional to required.
Model providers are not well-positioned to judge their own output. Neutral evaluation is easier to build now than to retrofit into existing systems.
The person building this lives the problem.
founder · ceo
Fourteen years inside the workflow this is built for. Series 7 + 66 licensed, FINRA-regulated experience. Operator turned builder.
Pre-seed to productize the Council and build the reliability graph.
We are building the layer that makes AI decisions defensible.