120 questions across 12 dimensions, auto-aggregating in a scorecard XLSX. Plus a 40-criteria vendor selection RFP grid, a 10-item contract red-flag checklist, and a 90-day implementation plan (Foundation → Pilot → Scale). Includes a 30-minute scoring call with the Aiprosol team.
The vendor RFP grid + contract red flags are oriented to evaluating outside vendors. If you are building internally, the Architecture Masterclass is a better fit.
Each of 120 questions feeds a 12-dimensional bar chart + Action Map. Re-run quarterly to track readiness drift.
Every buyer gets a Cal.com link to walk through their results with the Aiprosol team. Redeem within 90 days.
The 80-point readiness assessment used in our Enterprise discovery calls. Includes scoring rubric and implementation prioritisation.
Instead of reviews we can't back up, here's the proof: watch the AI C-suite that built this run, live — and read every decision we make, logged in the open.
The diagnostic toolkit for evaluating AI automation maturity across the 12 dimensions that actually predict ROI. Built for CIOs, COOs, and transformation leads at mid-market and enterprise organisations. Includes the 120-question Readiness Scorecard XLSX (auto-aggregating per dimension, with bar chart and conditional formatting), the Vendor Selection RFP DOCX (40-criteria grid, 10-item contract red-flag checklist), and the 14-slide 90-Day Implementation Plan PPTX.
The document is structured as 7 primary sections. Full content unlocks on purchase.
The opening section is unlocked here so you can sanity-check the voice + density. The full document continues beyond the fade.
Most enterprise AI programs don't fail because the model was wrong. They fail because the data was a mess, nobody owned the rollout, the first pilot was a customer-facing chatbot that broke in week three, and twelve months later there's a pile of half-finished proofs-of-concept and no honest answer to "so are we ready or not?"
This kit gives you that answer. It's a maturity model that scores AI readiness across five dimensions: Data, Infrastructure, People & Skills, Governance & Risk, and ROI & Value. Each dimension has ten questions, each scored one to five against a fixed rubric (1 = absent, 3 = defined, 5 = optimising), so two people scoring the same organisation land in roughly the same place. Fifty questions total. You finish with a number per dimension and a single picture of where the gaps actually are, not where everyone assumed they were.
It is built for organisations with 200-plus employees, multiple business units, regulated data, and real IT governance. If you're a 5-50 person team, this is the wrong tool and the page says so plainly. If you're a CIO, CTO, or Head of Transformation building the case before a board asks the hard questions, it's aimed squarely at you.
Six pieces that fit together. The five-dimension model and the 50-question assessment are the core. Then a gap-analysis template that turns raw scores into strengths, gaps, and the "stranded threes" (the stuck-in-the-middle items that are usually the most actionable). A 12-month roadmap framework split into months 0-3, 4-9, and 10-12, with a hard rule baked in: if your Data score is under 30, you stop adding AI and fix the foundation first, because AI on bad data just accelerates the failure.
There's also an executive briefing structure, slide by slide, ending on the slide most people skip, the explicit ask: budget, headcount, governance sign-off, stated in plain numbers. And a pilot-selection scorecard, because the single biggest predictor of whether a rollout survives is picking the right first use case. Score candidates on time-to-value, visibility, reversibility, data sufficiency, risk tier, and whether the pattern repeats elsewhere. Internal Q&A over your knowledge base tends to score well. A customer-facing chatbot almost never does.
The whole thing runs internally in about four to six weeks. There's a week-by-week timeline for that, plus a section on the seven failure modes we keep watching repeat (pilot purgatory, governance theatre, the innovation-budget trap, and the rest) so you can name them before they happen to you. Your purchase also includes a 30-minute scoring call with the Aiprosol team to sanity-check your results, redeemable within 90 days.
Readiness Scorecard XLSX: 120 questions across 12 dimensions (Data Hygiene · Process Documentation · Change Management · Governance · Integration Debt · Talent · Vendor Strategy · Security · Finance Operations · Customer Operations · Product Engineering · Strategic Alignment) — auto-aggregating per dimension with bar chart + Action Map
Vendor Selection RFP DOCX: 40-criteria evaluation grid, 10-item contract red-flag checklist, 8-week timeline, buyer profile template
90-Day Implementation Plan PPTX (14 slides): Phase 0 (Foundation, Days 1-30) → Phase 1 (Pilot, Days 31-60) → Phase 2 (Scale, Days 61-90)
Built for organisations with 100-5,000 employees · $10M-$500M revenue · already on cloud · with at least one ERP or CRM
Includes a 30-minute scoring-call credit with the Aiprosol team (redeem within 90 days)
Average buyer of Enterprise AI Readiness Assessment Kit reports 21 days to break even, then keeps reaping the saving every week thereafter.
See your specific number →Yes — every buyer gets a 30-min Cal.com link with the Aiprosol team to walk through their score and prioritise. Redeem within 90 days of purchase.
Buying. The vendor RFP + contract red flags are oriented to evaluating outside vendors. If you are building internally, the AI Workflow Architecture Masterclass is a better fit.
The framework still works at 50-100 — the scorecard auto-suppresses questions about formal change management programs. Below 50 employees, the Business Process Audit Checklist ($37) is a better starting point.
XLSX (scorecard) + DOCX (vendor RFP) + PPTX (90-day plan). Editable in Microsoft Office or Google Workspace.
Instant download. 7-day refund if it doesn't fit your stage.
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