Workflow-First, Not Tech-First
Most readiness tools score your data lake and your cloud bill. We score whether AI will actually stick inside the operations your people run every day — because that is where rollouts die.
AI Readiness Assessment
Measure your AI readiness with precision.
Six pillars, an honest score, and a 30-day action plan — because AI rollouts fail at the workflow, not the model.
95%
of AI rollouts fail to land measurable P&L impact
6 pillars
of workflow readiness scored, not just data + tech
30 days
from kickoff to a written, prioritised roadmap
Why this assessment
Built for operators, not slide decks.
Three things this assessment does that most readiness frameworks miss — the reasons mid-market leaders pick it over the Big 4 maturity model and the boutique scorecards.
Outcome-Based, Not Hourly
Fixed scope. Fixed price. Fixed deliverable: a measurable readiness score plus a 30-day action plan. We don't bill by hours logged — only by the clarity you walk away with.
Calibrated for Mid-Market
Built for $50M–$1B companies — not Fortune 500 frameworks downsized, not startup playbooks scaled up. Benchmarks come from the peer group you actually compete against.
The 6-Pillar Workflow Readiness Index
Six pillars. One honest readiness score.
Every pillar is graded individually, benchmarked against your peer group, and rolled up into a composite readiness score. The signature pillar — workflow embedment — is the one nobody else measures, and the one where most rollouts actually fail.
Readiness
Infrastructure and data maturity. How prepared is the platform layer — pipelines, governance posture, environment access — to actually run AI?
Feasibility
Technical viability of the use cases on the table. Can the model actually be built, trained, and shipped given current constraints?
Value
Expected ROI and impact. What measurable business outcome is each candidate use case worth — and how confident is that estimate?
Risk
Implementation risks across data, security, regulatory, and reputational surfaces. What can derail this — and how containable is each failure mode?
Organizational
Team and culture fit. Sponsorship, skills, change-management appetite, and the working relationships that make adoption stick.
Implementation
Execution complexity. The signature pillar that maps directly to where 95% of rollouts fail — does the path from pilot to production actually exist?
★ Our signature lensHow it works
From kickoff to action plan in 30 days.
Four steps. Fixed scope. No 90-day discovery taxes. By day thirty you have a written report, a peer benchmark, and a roadmap your team can act on tomorrow.
01
Discovery & Diagnostic
A 60-minute call with our CTO or senior architect. No deck. We listen. By the end of the hour we know your top three AI candidates and the workflows they should plug into.
CTO-ledNo vendor pitch60 minutes
02
Six-Pillar Audit
Structured review across the six readiness pillars — light data audit, key-stakeholder interviews, infra and governance review. Targeted, not exhaustive: enough to score meaningfully without a 90-day discovery tax.
Stakeholder interviewsData sample auditGovernance review
03
Written Readiness Report
A 3–5 page document, not a 60-slide deck. Numerical readiness score per pillar, peer benchmark, ranked AI opportunities with effort + impact estimates, and a candid assessment of what to fix first.
Pillar scoresPeer benchmarkRanked opportunities
04
30-Day Action Roadmap
Concrete next moves: which use case to pilot first, what data work has to land before, who owns each step, and a clear go/no-go decision point. You leave with a plan you can hand to your team — whether or not we deliver it.
Pilot pickOwners + datesGo / no-go gate
What comes next
Products built for your AI journey.
IntelliAssess gives you your score. AI Agency turns that score into working AI inside your business.
AI Readiness Platform
IntelliAssess
The scoring engine behind the six-pillar assessment. Track your readiness, benchmark against your peers, and generate a written roadmap — all inside one platform.
- Six-pillar readiness score with per-pillar breakdowns
- Peer benchmarking against companies your size and sector
- Auto-generated roadmap from your assessment score
- Revisit and re-score as your readiness improves
AI Execution Partner
AI Agency
Once you know your score, AI Agency is the team that acts on it. From pilot to production — build, deploy, and operate AI systems inside your business.
- Full-stack AI build: models, integrations, APIs, and UX
- Dedicated AI pod embedded in your team's workflow
- Production deployment, monitoring, and continuous iteration
- Fixed-scope or retainer — no surprise T&M billing
Expert Insights for Smarter Digital Innovation
Field notes from real readiness engagements — what mid-market teams keep getting wrong, what the score actually predicts, and how to act on it.
POVYour AI Pilot Is Probably Failing at Implementation, Not Modelling
The data is increasingly clear: most mid-market AI rollouts don't fail because the model was wrong. They fail because the model was never wired into the workflow that was supposed to use it.
PLAYBOOKHow to Read Your Six-Pillar Score (Without Hiring Anyone)
A walkthrough of how to interpret a readiness score on your own — what each pillar measures, what "weak / mid / strong" actually means, and which gaps you can fix in 30 days versus the ones that need a quarter.
STRATEGYQuick Wins vs Strategic Bets: Sequencing Your AI Roadmap After the Score
The readiness output isn't just a score — it's a 2x2 of impact versus feasibility. Here's how to use that map to pick the first thing you ship instead of running another pilot RFP that goes nowhere.
INSIGHTWhat 500+ Mid-Market Assessments Reveal About AI Readiness
Cross-sector patterns from real readiness engagements: where mid-market teams consistently overscore, where they underscore, and which pillar most accurately predicts whether an AI pilot will reach production.
FAQs
Frequently Asked Questions about the AI Readiness Assessment
The questions mid-market CIOs and operations leaders ask before booking a diagnostic call.
Find out if your AI plan will actually ship.
Book a 60-minute diagnostic with our CTO or a senior architect. We'll listen first, flag the workflows where AI will land hardest, and tell you whether a full assessment makes sense — honestly, even if the answer is "not yet."