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 diligence is still a questionnaire and a management meeting. Material workloads, key-person risk, and deal-thesis fragility stay hidden until after close — which is exactly when they become write-downs, integration failures, and missed earnouts.
- ✕AI diligence is a checklist of vendor claims and management presentations.
- ✕The target’s material AI workloads are never scored for posture or compliance.
- ✕Key-person and organizational dependency risk surfaces only post-close.
- ✕The deal thesis is never stress-tested against adverse scenarios before signing.
Engineered scope & execution
CYBAIR scores every material target AI workload — posture, compliance, evidence. GENOMIA maps the organization and key-person graph the deal has to integrate. WINS stress-tests the deal thesis. Price moves with target scale: a 6-workload tuck-in and a 40-workload platform company are not the same engagement, and are not priced as one.
- ✓Target sizing: workloads, org band, and thesis complexity
- ✓CYBAIR posture on every material AI workload
- ✓GENOMIA organizational and key-person dependency mapping
- ✓WINS stress test of the deal thesis
- ✓Integration risk playbook
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.
Target AI posture and risk assessment
CYBAIR posture, compliance position, and evidence state for every material AI workload in the target.
You know what you are buying — including the AI liabilities nobody disclosed.
Key-person and org dependency map
The people, structures, and dependencies the deal actually acquires, with key-person risk flagged.
Integration planning starts from the real org, not the org chart in the data room.
Deal thesis stress-test results
The investment thesis tested under adverse scenarios with break points identified.
You sign against a tested thesis — or renegotiate, or walk, with evidence.
Integration risk playbook
The integration risks the diligence surfaced, with sequenced responses for the first 100 days.
Post-close integration starts with a rehearsed plan instead of discovery.
How This Engagement Runs
Structured gates from initial telemetry and baseline ingestion to verified exit capabilities.
Size the target
Workloads, org band, and thesis complexity are confirmed. Those three numbers are the price — set before diligence starts.
Score the AI estate
CYBAIR scores material workloads — posture, compliance, evidence. Restricted data rooms are expected and handled.
Map the people and structure
GENOMIA maps the organization the deal has to integrate: structure, dependencies, and key-person concentration.
Stress the thesis
WINS stress-tests the deal thesis. Compute is estimated, then billed on actuals. The diligence closes with a readout to the deal team.
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.
A 6-workload tuck-in and a 40-workload platform company are not the same engagement. CYBAIR, GENOMIA, and WINS each scale with the target, so the price scales with them.
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 M&A AI Due Diligence?
We select our client engagements carefully and confirm technical scope, operator capacity, and final pricing directly in the initial briefing.