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AI Governance Framework

Production AI governance — roles, evidence, oversight — sitting on AIR readiness and CYBAIR posture of the workloads in scope.

Advisory3–5 weeks
from $85,000Engagement fee plus the platform units the work consumes — shaped below.
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Why this engagement exists

AI governance is usually a policy document disconnected from operations. Teams do not know who owns what, what evidence to keep, or how to respond when a framework shifts — so governance exists on paper while production AI runs ungoverned underneath it.

What it looks like in your organization

  • A governance policy exists, but no team operates against it day to day.
  • Ownership of AI systems and decisions is ambiguous or contested.
  • Nobody knows what evidence must be kept, or where it lives.
  • Framework changes (EU AI Act, NIST AI RMF) trigger panic instead of a rehearsed response.

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 governance framework document

Framework document

The operating governance model: principles, roles, decisions, evidence, and oversight — mapped to how your systems actually run.

Governance is an operating system, not a policy artifact.

Roles and ownership map

RACI / ownership map

Who owns each AI system and decision, with escalation paths named by role.

Every AI decision has an owner, and every team knows where escalation goes.

Evidence and attestation strategy

Strategy document

What evidence each workload must produce, how it is generated from CYBAIR, and the attestation language that stands up to review.

Evidence is produced continuously, not assembled under pressure.

Oversight and escalation playbook

Playbook

The oversight cadence, the triggers for escalation, and the response sequence.

Oversight runs on a cadence, and incidents follow a rehearsed path.

How this engagement runs

3–5 weeks · 4 phases
01

See how it actually runs

Week 1

AIR frames the portfolio; CYBAIR profiles the workloads that need an evidence trail. Governance design starts from reality, not from a template.

Deliverables
Portfolio frameWorkload posture
You exit with

The governance effort is grounded in the systems that actually run.

02

Assign ownership

Weeks 1–2

Roles, escalation, and the decisions a board or CRO will actually make are designed with the people who hold them.

Deliverables
Roles and ownership map
You exit with

Ownership is explicit, accepted, and escalation-ready.

03

Design the evidence

Weeks 2–4

Attestation and framework-shift resilience are designed on top of the CYBAIR evidence trail — not a binder, a working evidence model.

Deliverables
Evidence and attestation strategy
You exit with

The organization can produce defensible evidence on demand.

04

Install the cadence

Weeks 4–5

Oversight cadence and escalation playbook are installed, with a readout. The cadence can feed a retainer if you want governance kept alive.

Deliverables
Oversight playbookReadout
You exit with

Governance operates on a schedule with named owners and rehearsed escalation.

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 fee

Sensitivity 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.

Public×0.90

Open information. Standard handling, no containment overhead.

Confidential×1.00

Proprietary business information. NDA-grade handling and controlled evidence storage.

Regulated×1.15

Compliance-bound data. Framework controls and audit-ready evidence handling shape the work.

Restricted×1.30

Defense-grade pathways. Cleared handling, boundary containment, and evidence segregation inside your perimeter.

Involvement

×0.85 – ×1.35 on the engagement fee

Involvement 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.

Light×0.85

We advise and interpret; your team executes. Senior counsel at defined checkpoints.

Standard×1.00

We run the engagement end to end, with your stakeholders at the decision points.

Deep×1.35

Embedded delivery. Our operators work inside your team until the outcome is actually in place.

Organization type

×0.85 – ×1.25 on the engagement fee

The 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.

SMB / Mid-Market×0.85

Fewer stakeholders, faster decisions, lighter coordination overhead.

Enterprise×1.00

The baseline: standard commercial engagement surface.

State & Local×1.00

Public-sector procurement and multi-agency stakeholder surface.

VC / PE×1.00

Investment-platform cadence: deal-driven timelines and IC audiences.

Partners×1.00

Joint-delivery and enablement motions with partner delivery teams.

Auditors / Insurers×1.00

Assurance functions: evidence standards and underwriting audiences.

Federal×1.15

Federal procurement, compliance crosswalks, and multi-office alignment.

Defense×1.25

Mission-critical review, security handling, and acquisition-process alignment.

Scope & scale of platform units

The largest component of most totals

Every 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 actuals

WINS 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.

CYBAIR™$5,000 per workload
AI workload

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.

Multipolar AIR$15,000 – $120,000 by band
Organization band

The organization or portfolio profiled against the AIR readiness ontology, sized by headcount and portfolio breadth.

The size of the organization being assessed: people, portfolios, and the systems that matter. A 200-person shop profiles at the Small band; a 10,000-person multi-portfolio enterprise profiles at Large or Extra-large.

Engagement profile
Platform units
Fee statement
Engagement fee$35,000
CYBAIR · 4 AI workloads × $5,000$20,000
AIR · Mid · 250–2,000 people$30,000
Total$85,000

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

No. It is a governance framework designed for how your systems actually run, with CYBAIR evidence built in. Templates are why most governance fails; this is built from your portfolio and workloads.

Ready to brief us on the AI Governance Framework?

We choose who we work with and confirm scope, capacity, and final pricing in the briefing.

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