AI Readiness Assessment
An AIR assessment of organizational AI readiness — teams, systems, and workloads — priced to the size of the organization, not as a flat fee that ignores portfolio scale.
Operational Friction & Multipolar Mandate
Why traditional ad-hoc approaches fail at scale, and the precision protocol deployed to resolve it.
Why this engagement exists
Most organizations run AI as a collection of pilots without a readiness map. Boards ask for impact; teams deliver demos. Capital gets committed before anyone knows where the organization is actually ready — so investment lands on unready teams, unready data, and unready systems, and the portfolio stalls at pilot stage.
- ✕AI initiatives multiply, but nothing graduates from pilot to production.
- ✕Leadership cannot say which teams, systems, or workloads are genuinely ready for production AI.
- ✕Budget is allocated by enthusiasm rather than by evidence of readiness.
- ✕Dependencies and bottlenecks surface only after projects are already funded.
Engineered scope & execution
We profile the organization against the AIR readiness ontology — teams, systems, workloads, and dependencies — and produce a prioritized readiness picture with quantified gaps. AIR is billed on an organization-size band, so a 200-person shop and a 10,000-person enterprise are never the same SKU. The engagement turns that profile into a roadmap leadership can fund against.
- ✓Organization sizing and AIR band confirmation
- ✓Readiness profiling across teams, systems, and workloads
- ✓Dependency and gap analysis with quantified shortfalls
- ✓Prioritized readiness roadmap sequenced to budget cycles
- ✓Executive-ready narrative for boards and budget offices
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.
Readiness profile across teams, systems, and workloads
The organization scored against the AIR ontology: which teams can absorb AI, which systems can serve it, and which workloads are production candidates.
Leadership sees exactly where the organization is ready — and where it is not — in one evidence-backed picture.
Dependency and gap map
The bottlenecks, missing capabilities, and dependencies that will block production AI, each quantified rather than described adjectivally.
You know what must be fixed before investment, so budget is not committed into known failure points.
Prioritized readiness roadmap
A sequenced plan closing readiness gaps in the order that unblocks the most value, aligned to your budget and planning cycles.
The AI portfolio moves from pilots to production on a sequence leadership can defend and fund.
Executive-ready narrative
The readiness story framed for decision-makers: where to invest, what to fix first, and what to defer.
Board and executive conversations about AI start from evidence instead of vendor demos.
How This Engagement Runs
Structured gates from initial telemetry and baseline ingestion to verified exit capabilities.
Size the organization
AIR is priced to the organization band. We confirm headcount, portfolios, and the systems that matter, and lock the assessment scope before profiling begins.
Profile readiness
Teams, data, systems, and workloads are profiled against the AIR readiness ontology through structured interviews and evidence — not a subjective maturity score.
Map the gaps
We identify the dependencies and bottlenecks that will block production AI before budget is locked, and quantify each gap.
Sequence the roadmap
The readiness picture becomes a prioritized roadmap, closed with an executive briefing. Natural handoff into AI Strategy Development or an organizational twin if the org needs one.
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.
It is quantified and evidence-backed, and priced to organizational scale. You get a readiness picture you can act on — not a slide with a number from 1 to 5.
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 Readiness Assessment?
We select our client engagements carefully and confirm technical scope, operator capacity, and final pricing directly in the initial briefing.