Enterprise AI Readiness Index

Stop Guessing. Know Your AI Readiness.

73% of enterprise AI projects fail — not because of technology, but because organisations don't know what they're not ready for. E-ARI gives you the evidence before you invest.

Start Free Assessment See how it works
✓ Free to start
✓ 15 minutes
✓ Executive-ready report
✓ No credit card
E-ARI · Assessment Results · Accenture AG · Live Preview
0

Overall Score

Maturity:

accenture-ag-2026-04

Readiness Radar
·73% of enterprise AI projects fail due to poor readiness
·Average AI initiative delayed by 18 months
·$2.4M average wasted on abandoned AI projects
·Only 12% of organisations have a formal AI governance framework
·EU AI Act compliance deadline: August 2026
·8 pillars · 23 questions · 15 minutes
·Expert-validated methodology based on Oxford Insights & Cisco AI Readiness Index
·Trusted by Fortune 500 and Government agencies
·73% of enterprise AI projects fail due to poor readiness
·Average AI initiative delayed by 18 months
·$2.4M average wasted on abandoned AI projects
·Only 12% of organisations have a formal AI governance framework
·EU AI Act compliance deadline: August 2026
·8 pillars · 23 questions · 15 minutes
·Expert-validated methodology based on Oxford Insights & Cisco AI Readiness Index
·Trusted by Fortune 500 and Government agencies

AI is failing enterprises at scale.

The technology works. The organisations aren't ready. Here's what the data says.

0%
AI Projects Fail
Not because the technology doesn't work — but because organisations aren't structurally, culturally, or operationally ready to deploy it.
Source: McKinsey Global AI Survey 2024
0M
Months Average Delay
Enterprise AI initiatives consistently slip due to missing governance, unclear ownership, poor data foundations, and underestimated change management.
Source: Gartner AI Implementation Report 2024
$0
Wasted Per Failed Project
The average cost of an abandoned enterprise AI initiative — before you account for the opportunity cost of delayed competitive advantage.
Source: IBM Institute for Business Value 2024

From unknown to board-ready in 15 minutes.

A structured three-step methodology designed for C-suite decision-making.

Step 01
Answer 23 Targeted Questions
Weighted questions across 8 strategic pillars — from governance and infrastructure to ethics and culture. No technical jargon. Calibrated for senior leaders.
15 minutes
Step 02
AI Scores & Benchmarks
Our engine applies cross-pillar interdependency modelling, importance weighting, and peer benchmarks to compute your score across all 8 dimensions.
Instant results
Step 03
Executive-Ready Report
A board-ready PDF with your maturity tier, pillar breakdown, competitive positioning, a prioritised remediation roadmap, and ROI projections.
PDF + Dashboard

8 pillars. Every dimension that matters.

Built on Oxford Insights and Cisco AI Readiness Index methodologies. Each pillar is weighted by its strategic impact on AI deployment success.

AI Governance & Strategy

Vision, policy, board oversight

16%

Technical Infrastructure

Cloud, compute, integration

18%

Data Management & Quality

Governance, lineage, privacy

17%

Human Capital & Skills

Talent, training, acquisition

15%

Organisational Culture

Innovation, change readiness

12%

Innovation & Partnerships

R&D maturity, ecosystem

10%

Cybersecurity & Risk

AI-specific security, risk mgmt

8%

Ethics & Compliance

AI Act, GDPR, ethical AI

4%
8-Pillar Methodology · Example Output

Where do you stand?

Every organisation falls into one of four tiers. Knowing which one — and why — is the starting point for every AI transformation.

Tier 1
0–30
Laggard
Critical foundational gaps. AI deployment at this stage creates more risk than value.
  • No formal AI strategy
  • Fragmented data infrastructure
  • Minimal governance
Tier 2
31–60
Follower
Foundation exists but requires significant investment before scaling AI safely.
  • Basic AI awareness & pilots
  • Data quality inconsistencies
  • Reactive governance
Tier 3
61–85
Chaser
Moderately prepared. Targeted improvements unlock the next stage of AI maturity.
  • Some production AI deployments
  • Defined data governance
  • AI talent programmes emerging
Tier 4
86–100
Pacesetter
Strong readiness. Focus shifts to governance cadence, model monitoring, and competitive advantage.
  • AI embedded in strategy
  • Robust MLOps & governance
  • Continuous improvement loop

Go deeper where it matters most.

Beyond enterprise-wide readiness — targeted diagnostics for the specific AI deployments your organisation is planning right now.

Start free. Upgrade when you need depth.

Every tier produces a real, actionable output. No paywalls on your score — only on the depth of expert analysis.

Free
$ 0 /month
For individuals and teams exploring AI readiness for the first time.
Full 23-question assessment
Overall score & maturity tier
Pillar breakdown dashboard
1 vertical assessment
Expert review
PDF report download
Peer benchmarks
Enterprise
Custom
For organisations running multiple assessments, needing dedicated expert access, or requiring RBAC and API integration.
Everything in Professional
Dedicated expert team (24h)
Unlimited assessments
Multi-user RBAC
REST API access
SSO / SAML integration
SLA + compliance docs

Know your AI readiness
before your board asks.

23 questions. 15 minutes. A report your leadership team can act on — not another deck that sits in a folder.

✓ Free forever for basic tier ✓ No credit card required ✓ Expert-reviewed in 48h on paid plans