AI Governance Framework
Production AI governance — roles, evidence, oversight — sitting on AIR readiness and CYBAIR posture of the workloads in scope.
Operational Friction & Multipolar Mandate
Why traditional ad-hoc approaches fail at scale, and the precision protocol deployed to resolve it.
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.
- ✕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.
Engineered scope & execution
We design governance that maps to how your systems actually run. AIR frames the portfolio so governance covers what matters. CYBAIR on the nominated workloads supplies the evidence trail — compliance and attestation ride on those CYBAIR units. The result is governance that operates, not decorates.
- ✓AIR portfolio framing and CYBAIR workload nomination
- ✓Roles and ownership design with escalation paths
- ✓Evidence and attestation strategy tied to live workloads
- ✓Oversight cadence and escalation playbook
- ✓Framework-shift resilience design
What You Take Away
Every deliverable is named, structured, and tied to an immutable operational outcome. Nothing ships as a slide deck with no longevity.
AI governance 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
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
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
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
Structured gates from initial telemetry and baseline ingestion to verified exit capabilities.
See how it actually runs
AIR frames the portfolio; CYBAIR profiles the workloads that need an evidence trail. Governance design starts from reality, not from a template.
Assign ownership
Roles, escalation, and the decisions a board or CRO will actually make are designed with the people who hold them.
Design the evidence
Attestation and framework-shift resilience are designed on top of the CYBAIR evidence trail — not a binder, a working evidence model.
Install the cadence
Oversight cadence and escalation playbook are installed, with a readout. The cadence can feed a retainer if you want governance kept alive.
Interactive Pricing Studio & Scope Engine
Our pricing is engineered, not asserted. Configure your organization profile and estate parameters to see the exact real-time cost breakdown.
Configure Your Parameters
The fee moves on three objective multipliers—Sensitivity, Involvement, and Org Type. Each factor reflects real operational handling and operator time.
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.
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.
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.
Frequently Asked Questions
Specific intelligence regarding security clearance, deliverable ownership, platform telemetry, and execution cadence.
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.
Have unique mission constraints?
Our engineering leadership reviews technical architectures and custom scoping directly under NDA.
Ask an Operator →Adjacent & Next-Stage Engagements
Expand into ongoing retainer coverage, organizational digital twins, or hardware trust specifications.
Ready to Brief Us on the AI Governance Framework?
We select our client engagements carefully and confirm technical scope, operator capacity, and final pricing directly in the initial briefing.