AI Policy Underwriting Support
CYBAIR-powered underwriting support. Each policyholder AI workload is a CYBAIR unit; the engagement turns scores into an underwriting framework.
Why this engagement exists
Insurers and assurance functions are being asked to underwrite AI risk without workload-level posture or an evidence trail they can defend. Underwriting relies on questionnaires and self-attestation — exactly the inputs that fail when a claim or audit tests them.
What it looks like in your organization
- AI risk is underwritten from questionnaires with no workload-level evidence.
- Underwriters cannot distinguish a well-run AI estate from a dangerous one.
- Claims or disputes expose that the risk was never actually measured.
- The book grows while the assurance method stays at self-attestation.
What we do and how it works
Each policyholder AI workload in scope is a CYBAIR unit — same engine, same $5,000 unit, compliance and evidence included. The engagement turns those scores into an underwriting risk framework, an evidence strategy, and a readiness picture underwriters can use. How unit costs are recovered in premium or fees is your commercial motion; we do not hide the units.
The engagement includes
- Book definition: which policyholders and AI workloads sit in the first cut
- CYBAIR posture scoring per policyholder workload
- Underwriting risk framework built on the scores
- Evidence and attestation strategy for the book
- A repeatable motion as the book grows
What you take away
Every deliverable is named, formatted, and tied to the outcome it enables. Nothing ships as a deck with no use.
AI policyholder posture scoring
ScorecardCYBAIR posture per policyholder AI workload — the same engine and evidence standard as first-party assessments.
Underwriting decisions rest on measured posture, not self-attestation.
Underwriting risk framework
Framework documentHow CYBAIR scores translate into underwriting decisions: tiers, thresholds, and pricing logic.
The book is underwritten with a defensible, repeatable method.
Evidence and attestation strategy
Strategy documentThe evidence standard for the book and how attestation is produced and verified.
Claims, disputes, and audits are answered from prepared evidence.
Policyholder readiness assessment
Readiness reportWhich policyholders are ready for AI coverage terms and which need remediation first.
Coverage terms are matched to actual readiness, reducing adverse selection.
How this engagement runs
Define the book
Week 1Which policyholders and which AI workloads sit in the first cut. The workload count sets the CYBAIR units.
A priced first cut of the book, sized honestly.
Score on CYBAIR
Weeks 1–3Same engine, same $5,000 unit, compliance and evidence included. Policyholder workloads are profiled and scored.
The book has measured AI posture across the scoped workloads.
Write the framework
Weeks 3–4How scores become underwriting decisions: tiers, thresholds, and pricing logic designed with your underwriters.
A repeatable underwriting method grounded in posture.
Leave a repeatable path
Weeks 4–5The motion is documented so it scales as the book grows — and can become a retainer as volume increases.
Underwriting AI risk becomes an operating capability, not a one-off pilot.
How the fee is built
The engagement fee moves on three multipliers — sensitivity, involvement, and organization type — and the platform units the work consumes are their own lines. Nothing is hidden inside a flat number.
Sensitivity
×0.90 – ×1.30 on the engagement feeSensitivity sets the handling envelope around the whole engagement: how data moves, where evidence lives, who can touch it, and what containment we must maintain. Higher sensitivity means cleared handling, segregated evidence, and slower, more deliberate operations — real cost that a flat fee would hide.
Open information. Standard handling, no containment overhead.
Proprietary business information. NDA-grade handling and controlled evidence storage.
Compliance-bound data. Framework controls and audit-ready evidence handling shape the work.
Defense-grade pathways. Cleared handling, boundary containment, and evidence segregation inside your perimeter.
Involvement
×0.85 – ×1.35 on the engagement feeInvolvement is how much Multipolar operator time is on the hook. Counsel at checkpoints is a different commitment than embedded delivery inside your team, your systems, and your cadence. The multiplier tracks senior hours actually committed — not a markup.
We advise and interpret; your team executes. Senior counsel at defined checkpoints.
We run the engagement end to end, with your stakeholders at the decision points.
Embedded delivery. Our operators work inside your team until the outcome is actually in place.
Organization type
×0.85 – ×1.25 on the engagement feeThe same technical work lands differently depending on who is buying it. Federal and defense engagements carry procurement, compliance, security review, and stakeholder alignment that a mid-market engagement does not. The multiplier prices the coordination and accountability surface, not the analysis.
Fewer stakeholders, faster decisions, lighter coordination overhead.
The baseline: standard commercial engagement surface.
Public-sector procurement and multi-agency stakeholder surface.
Investment-platform cadence: deal-driven timelines and IC audiences.
Joint-delivery and enablement motions with partner delivery teams.
Assurance functions: evidence standards and underwriting audiences.
Federal procurement, compliance crosswalks, and multi-office alignment.
Mission-critical review, security handling, and acquisition-process alignment.
Scope & scale of platform units
The largest component of most totalsEvery engagement consumes platform units — CYBAIR workloads, AIR organization bands, GENOMIA twins, WINS scenarios, SiliconAIR systems. Units track your estate, not our appetite for flat pricing: an 8-workload assessment and a 50-workload assessment are different engagements and are priced as such. You set the scope in the configurator; the total moves with it, and nothing is quietly under-scoped to fit a number.
Simulation compute
Estimated until configured · billed on actualsWINS simulations carry real compute costs that scale with scenario count, branching depth, and campaign length. A focused single-scenario game and a sustained multi-agent campaign are orders of magnitude apart. Facilitation and after-action are in the fee; compute is estimated once the game is configured, then billed on actuals — you pay for what actually runs, never a padded average.
Platform units in this engagement
Units track your estate, not our appetite for flat pricing. You set the scope; the total moves with it. Each unit below is consumed by this engagement and billed as its own line.
Each model, RAG pipeline, or agentic workflow you nominate for posture, compliance, evidence, and attestation.
The number of AI workloads you put in scope. Minimum one. You choose the estate to assess — the count is yours to set, and we do not flatten ten workloads and fifty into the same fee.
What the engagement fee covers
- Scoping, workshops, and interpretation
- Every deliverable listed on this page
- Cross-framework mapping where the package includes compliance
- Executive translation — board, program-office, or IC language
- Handoff and a defensible next-step recommendation
What it does not cover
- Platform units consumed by the work (shown as their own lines)
- WINS simulation compute (estimated, then billed on actuals)
Frequently asked questions
Insurers, auditors, and assurance functions that must underwrite or attest to AI risk. The framework adapts to assurance as well as underwriting.
Ready to brief us on the AI Policy Underwriting Support?
We choose who we work with and confirm scope, capacity, and final pricing in the briefing.