AI Readiness Assessment
Find out if your enterprise is actually ready to ship AI — before you spend on it. A four-week diagnostic from senior AI architects who've shipped production AI for 400+ enterprise clients.
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The Production Reality
40% of enterprise AI projects will be cancelled by 2027 [Gartner, 2026]. Only 21% of organizations have a mature AI governance model [Deloitte, 2025]. Fewer than 1 in 3 enterprises report significant AI ROI today [KPMG, 2026]. The reason is rarely the model. It's the operational layer underneath — data quality, infrastructure maturity, governance frameworks, team capability, and use-case prioritization — that determines whether your AI investment compounds or quietly dies in pilot purgatory. An AI Readiness Assessment is the audit you do before you spend on AI — not after the pilot stalls. The QSS Thesis Most AI consultancies sell you the strategy first and audit the readiness later — usually after the model is deployed and the gaps are expensive. We do it in reverse. We assess your readiness in 4 weeks, identify the operational gaps that would have killed the project, and hand you a 90-day roadmap that turns AI ambition into deployed reality. The roadmap is yours — to execute with QSS, with your in-house team, or with another partner.
What QSS Assesses — 8 Dimensions of AI Readiness
Use Case Prioritization & ROI Modeling
Structured ranking of 10-20 AI opportunities by feasibility, business impact, and time-to-production. Realistic cost-per-outcome math for the top 3-5.
Data Readiness
Quality, lineage, governance, completeness, and AI-readiness of your existing data assets across structured, unstructured, and real-time sources.
Governance, Privacy & Security
Policy-as-code coverage, audit-trail capability, model risk management, and regulatory alignment (HIPAA, SOC 2, ISO 42001, EU AI Act, NIST AI RMF, SR 11-7).
Talent & Team Capability
Senior AI engineering talent, MLOps capability, governance ownership, and the gaps that determine in-house vs. partner-led delivery.
People & Adoption Readiness
Internal sponsors, change management capability, training infrastructure, and the cultural appetite for AI-augmented workflows.
Measurement & Rollout Planning
KPIs, observability, A/B testing capability, and the phased-rollout discipline that separates production AI from one-time pilots.
Is This Assessment the Right Engagement for You?
✓ Ideal Fit
- You're evaluating AI investment of $200K+ and want a defensible audit before commitment
- You've run pilots before — and want to know why they didn't reach production
- You operate in a regulated industry (healthcare, BFSI, insurance, pharma, public sector) and need governance to clear procurement
- You have multiple AI use cases in the pipeline and need help prioritizing
- Your board has asked for an AI strategy — and you want the strategy grounded in actual capability, not aspiration
- You're in M&A diligence and need an honest read on an acquisition target's AI capability
✗ Not a Good Fit
- You already have a fully validated use case, named ownership, and a 90-day roadmap — you need delivery, not assessment
- You're exploring AI but have no internal sponsor, no budget, and no decision timeline
- You want a vendor recommendation only — we're an assessment partner, not a procurement advisor
- You expect a PowerPoint deck. Our deliverable is a 30-page engineering-grade report with a 90-day execution roadmap
The QSS Approach — A Four-Week Engagement
Week 1: Discovery & Stakeholder Immersion
Senior architect-led interviews with your CTO, CDO, data engineering team, security, and compliance leaders. Existing AI initiatives mapped. Strategic intent documented. Constraints surfaced. Working sessions with business stakeholders to validate use cases.
Week 2: Data & Infrastructure Deep Dive
Hands-on data audit using your existing pipelines, warehouses, and lake architecture. MLOps tooling assessment. Cloud cost analysis. Security posture review. Tool inventory.
Week 3: Governance, Talent & Use Case Validation
Governance framework gap analysis against your industry regulations. Talent capability map. Use case prioritization workshop with your business stakeholders. ROI modeling for top 3-5 candidates.
Week 4: Roadmap, ROI Modeling & Deliverable
30-page AI Readiness Report delivered. 90-day roadmap presented to your leadership team. Sprint 1 architecture brief handed off — ready to execute, with or without QSS as your delivery partner.
Three Engagement Tiers
| Tier | Quick Scan | Standard Assessment | Enterprise Assessment |
|---|---|---|---|
| Duration | 1–2 weeks | 4 weeks | 6–8 weeks |
| Investment | $15K–$25K | $35K–$75K | $80K–$150K |
| Stakeholder interviews | 3–5 | 10–15 | 20+ |
| Dimensions covered | 4 (priority gaps) | All 8 | All 8 + multi-region/BU |
| Use cases evaluated | 3–5 | 10–20 | 30+ |
| Deliverable | 10-page summary + 30-day roadmap | 30-page report + 90-day roadmap | 50-page report + 180-day roadmap + Sprint 1 architecture |
| Best for | Single-team or division | Single enterprise or mid-market firm | Multi-region, multi-BU, or M&A diligence |
Use Cases & Industry Applications
Industry / Scenario
What the Assessment Surfaces
Healthcare (Payers, Providers, ISVs)
HIPAA + FDA SaMD governance gaps, EHR integration constraints, clinical-safety design requirements
Banking & Financial Services
SR 11-7 model risk management, PCI-DSS scope, fraud/AML/KYC use case prioritization
Insurance
EU AI Act risk tier classification, claims/underwriting use case ROI, regulatory readiness across jurisdictions
Manufacturing & Industrial
IoT and OT data quality, predictive maintenance use case feasibility, edge-AI infrastructure gaps
Public Sector & Government
NIST AI RMF compliance, FedRAMP readiness, citizen-facing use case risk classification
Why QSS for AI Readiness Assessment
250+ engineers across the US, India, and UAE
including senior AI architects, MLOps specialists, and governance engineers
15+ years of production software delivery across healthcare, BFSI, logistics, manufacturing, and public sector
100+ AI Readiness Assessments delivered across regulated and enterprise industries
ISO 27001, CMMI Level 3, AWS Advanced Tier Services Partner
credentials that map directly to the governance frameworks we audit against
Vendor-neutral
we don't sell an AI platform, so the assessment surfaces what's actually true, not what aligns to a product roadmap
Engineers, not consultants
assessments led by senior AI architects with hands-on production AI experience, not generalist strategy consultants
Frequently Asked Questions
An AI Strategy tells you what to build; an AI Readiness Assessment tells you whether you can build it. Strategy comes after readiness — and most enterprises discover they have an infrastructure or governance gap that strategy alone won't solve.
Quick Scan: 1–2 weeks. Standard: 4 weeks. Enterprise: 6–8 weeks. Most engagements run the Standard tier. Larger enterprises with multi-region or multi-BU complexity run the Enterprise tier.
Quick Scan $15K–$25K, Standard $35K–$75K, Enterprise $80K–$150K. Fixed-price engagements with deliverables defined upfront. No hidden hourly billing.
The roadmap is yours to execute with whoever you choose. About 70% of our assessment clients ask us to deliver the implementation phase — but the roadmap is designed to be executable by your in-house team, another partner, or QSS. No vendor lock-in.
Three documents: the 30-page AI Readiness Report (current-state assessment + gap analysis), the 90-Day Roadmap (sprint-by-sprint execution plan), and the Sprint 1 Architecture Brief (ready to hand to any engineering team).
That's exactly what the assessment is designed to surface. If you're not ready, we'll tell you — and the roadmap will focus on closing the data, infrastructure, or governance gaps before any AI investment. That's the most expensive answer we deliver, and the most valuable.
Yes — both are covered as use case categories within the assessment. The 8-dimension framework applies the same regardless of AI type, but we specifically assess your readiness for reasoning-model deployment, multi-agent orchestration, and GenAI governance.
Yes — and we publish a free 30-question self-check that gives you a directional score in 10 minutes. The full engagement adds external objectivity, cross-industry benchmarks, hands-on data and infrastructure audit, and an engineering-grade roadmap that internal teams typically can't produce in less than 3–6 months.
Find Out If You're Ready to Ship AI
Book a four-week AI Readiness Assessment and walk away with a 30-page readiness report and a costed 90-day roadmap — from senior AI architects who've shipped production AI for 400+ enterprises.
Book your AI Readiness Assessment