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Personas and stakeholders

Seven rooms you will be in, what each person in them is actually protecting, and the one grounded answer to their sharpest objection. The motion is two-sided (see 02 The motion): the first three personas buy the evidence layer, the next three consume it, and the seventh signs the check.

Persona Cares about Sharpest objection The grounded answer
Healthcare CIO / CTO (deployer) Patient safety, PHI exposure, board reporting “You’re going to see our patient data.” Zero egress: raw prompts and responses never leave your environment — only hashes and signed metadata cross the trust boundary. GROUNDED · Labs
CISO / governance buyer Board evidence, audit prep, tamper-evidence “Who verifies the verifier?” The Notary is independent by construction and OVERT is open — any auditor can verify a record offline, without trusting Glacis or the vendor. GROUNDED · Labs
Compliance / regulatory officer ISO 42001, FDA/MHRA/EU AI Act artifacts “We’re already doing this with a GRC tool.” GRC tools collect documents; this generates runtime evidence continuously — and point-in-time assessments “expire the moment a model updates.” GROUNDED · Brochure

Two more objections worth pre-loading for the CIO/CTO room: latency (the policy hot path is deterministic and engineered for production speed — no LLM calls inside the runtime GROUNDED · Labs) and “we already log everything” (logs are mutable and self-maintained; attestations are witnessed — “Configuration is a promise. Execution is a fact.” GROUNDED · Labs).

The market side (who consumes the evidence)

Section titled “The market side (who consumes the evidence)”
Persona Cares about Sharpest objection The grounded answer
Lloyd’s underwriter / actuary Pricability, basis risk, data credibility “Your denominator is vendor-reported — a management assertion, not evidence.” Concede the sharpness, then walk the denominator trust ladder: OVERT classifies denominator source explicitly, and only Notary-bounded counts are pitched as underwriting-grade. GROUNDED · Labs
Reinsurer / accumulation manager Correlated loss from foundation-model updates “One data vendor can’t see cross-portfolio correlation.” Portfolio-level behavioral-correlation visibility is exactly the proposed accumulation demonstration — version-change detection catches the same upstream update across deployments. GROUNDED · Brochure (Proposed cohort deliverable — hedge it.)
Broker / MGA partner A sellable product, commission, capacity “Carriers are filing blanket AI exclusions — there’s no paper to place.” Exclusions are the demand signal: insureds facing them need the evidence that makes them insurable, and “credit for cleaner attestation records” is a pricing story a broker can defend. GROUNDED · Brochure

The underwriter’s objection (a) — “no loss history, can’t price” — gets the structural answer from 20-00: parametric triggers price from attestation data alone, and nobody has loss history because nobody had a denominator. In an underwriter’s own recorded words: “They never come to me with a denominator… You cannot price.” GROUNDED · KB

Persona Cares about Sharpest objection The grounded answer
Procurement / CFO (at the AI vendor) Cost vs revenue, lock-in, ROI “This is a cost center — compliance can wait.” It’s revenue enablement: enterprise buyers increasingly require proof of AI governance as a purchase condition, and certification is itself a sales gate the vendor is already paying for. GROUNDED · KB

Their lock-in objection has a clean architectural answer: OVERT is open, so receipts are verifiable by any party without Glacis — neutrality is structural, not promised. Their ROI demand gets the honest treatment in 03 The pricing conversation — note that premium-relief outcomes for customers are not yet demonstrated (VERIFY; never imply otherwise).

Every grounded answer above is a tier-i or hedged tier-ii claim — that is what makes it usable in a live room. If an answer you’re about to give doesn’t appear on this page or reduce to the claim taxonomy, hedge it or drop it.

01 The claim taxonomy

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