What AI and digital readiness assessments does IBEAN offer?

IBEAN offers 8 AI and digital assessments: AI Readiness (scored across data, process, workforce, and infrastructure), Data Maturity, Agentic AI Readiness, Digital Maturity, Cloud Readiness, Technology Architecture, Generative AI Adoption, and Customer Success AI Readiness.

Why does data maturity matter for AI programmes?

Most organisations score below 55 on data maturity — and poor data quality is the leading cause of AI programme failure. The Data Maturity Assessment evaluates data quality, governance, accessibility, and pipeline infrastructure before any AI investment is committed.

Assessment Suite / AI & Digital Readiness

AI & Digital
Readiness
Assessments.

Q: What is the Agentic AI Readiness Assessment?

The Agentic AI Readiness Assessment evaluates your organisation's readiness to deploy multi-step, autonomous AI systems. It covers workflow digitisation level, API integration capability, human-AI handoff design, and risk tolerance for autonomous decision-making — areas most AI vendors never assess before deployment.

8 structured diagnostic assessments that score your organisation's AI readiness, data maturity, digital transformation progress, and technology architecture — before committing to an AI or digital programme.

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Assessment Count8 Types

Applicable ToAll Organisations

Duration2 hrs – 5 days

Service TriggeredAI Transformation / Digital

8 AI & Digital Assessment Types

Know Your AI and Digital Readiness Before Committing Capital.

Assessment 1 of 8

AI Readiness Assessment

Scored diagnostic across four readiness dimensions: data maturity (0–100), process maturity, workforce readiness, and infrastructure capability. Identifies the specific blockers preventing a successful AI programme.

Consulting Services Triggered

AI Transformation AdvisoryAI Strategy & Business Case

Assessment 2 of 8

Data Maturity Assessment

Evaluates data quality, governance, accessibility, and pipeline infrastructure. Most organisations score below 55 — making this the most critical pre-AI assessment. Poor data quality is the leading cause of AI programme failure.

Consulting Services Triggered

Data Platform StrategyAI Transformation Advisory

Assessment 3 of 8

Agentic AI Readiness Assessment

Assesses readiness for multi-step, autonomous AI systems. Covers: workflow digitisation level, API integration capability, human-AI handoff design, and risk tolerance for autonomous decision-making.

Consulting Services Triggered

Agentic AI DeploymentAI Governance Framework

Assessment 4 of 8

Digital Maturity Assessment

Scores your organisation across five digital dimensions: process digitisation, technology stack adequacy, data analytics capability, digital customer experience, and workforce digital capability. Benchmarked against sector peers.

Consulting Services Triggered

Digital Transformation AdvisoryTechnology Architecture Design

Assessment 5 of 8

Cloud Readiness Assessment

Evaluates cloud migration readiness — application portfolio, data classification, network architecture, security posture, and operational capability. Identifies the right cloud strategy (IaaS, PaaS, SaaS) and sequencing.

Consulting Services Triggered

Cloud Adoption StrategyDigital Transformation Advisory

Assessment 6 of 8

Technology Architecture Assessment

Reviews current technology architecture: integration layer, data flows, vendor landscape, technical debt, scalability constraints, and security posture. Produces a target architecture gap analysis.

Consulting Services Triggered

Technology Architecture DesignDigital Transformation Advisory

Assessment 7 of 8

Generative AI Adoption Assessment

Evaluates current generative AI usage, governance gaps, and enterprise adoption readiness. Covers: LLM use case identification, data privacy controls, output quality governance, and workforce capability for prompt engineering.

Consulting Services Triggered

Generative AI Adoption RoadmapAI Governance Framework

Assessment 8 of 8

Customer Success AI Readiness

Assesses readiness to deploy AI in customer-facing operations — chatbots, predictive support, sentiment analysis, and personalisation. Scores data availability, channel integration, and CX governance maturity.

Consulting Services Triggered

AI Transformation AdvisoryCustomer Experience Strategy

Frequently Asked Questions

AI & Digital Assessments — Common Questions

4 Questions

The AI Readiness Assessment focuses specifically on the four prerequisites for a successful AI programme — data quality, process digitisation, workforce readiness, and infrastructure capability. It produces a score per dimension that determines which AI use cases your organisation can actually deliver. The Digital Maturity Assessment is broader — it covers your overall digital transformation progress across all technology dimensions, not just AI prerequisites. Most organisations complete Digital Maturity first, then AI Readiness as a deep-dive once they decide to prioritise AI.

There is no single threshold — the score per dimension determines which AI use cases are viable at your current readiness level. Organisations scoring 65+ across all four AI Readiness dimensions can typically proceed with production AI deployment. Organisations scoring below 50 on data maturity need a data platform investment before any AI programme delivers reliable results. IBEAN's assessment produces a specific readiness profile that maps to the right entry point in the AI Transformation programme.

You can start with a single assessment type. Most clients begin with AI Readiness or Digital Maturity — the two most strategic starting points. The remaining assessment types are completed based on priority gaps identified. IBEAN recommends a sequenced approach: Digital Maturity first (broad picture), then AI Readiness (AI-specific), then Cloud Readiness if cloud migration is a priority. The full 8-assessment suite is typically completed over 2–3 months as part of a broader transformation programme.

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Additional questions? Contact the advisory team

Know Your AI Readiness Before Committing to an AI Programme.

Most AI programmes fail because of poor data foundations and unrealistic readiness assumptions. An AI Readiness Assessment identifies exactly where you stand — before investment decisions are made.