Enterprise AI Transformation
Enterprise AI Readiness & Maturity Assessment
Is your organisation ready for agentic AI?
Most companies already use AI somewhere. Very few know which of those efforts will pay back, and what is quietly blocking the rest. Our assessment gives you that answer in writing. Where you stand today. Where AI will earn its keep first. And a roadmap to get there that your board can fund.
Enterprise AI Readiness & Maturity Assessment
Enterprise AI Readiness Assessment is a comprehensive audit that evaluates your organizations preparedness for generative AI adoption. Our assessment covers data infrastructure, talent capabilities, governance frameworks, and use case prioritization, delivering an actionable roadmap with prioritized quick wins and 12 to 36 month transformation milestones. You get a first readout within 2 to 4 weeks, and the full assessment with roadmap takes 8 to 14 weeks.
Agentics’ Enterprise AI Readiness & Maturity Assessment gives organisations a clear view of their current AI maturity across various cohorts (as required) i.e. Operations, Supply Chain, Customer Service, Technology, Finance, Legal, HR, People, Data, Governance, Sales, Marketing, Manufacturing etc., providing clear insights and prioritized actions to move forward.
We collaborate with business and function heads to evaluate AI maturity level and equip leadership with a clear understanding of As-Is capabilities versus the envisioned future state.
Post-assessment, we partner with you to close AI adoption gaps, shape a pragmatic Enterprise AI roadmap, and ready your organization to responsibly harness Generative AI’s enterprise-wide impact.
The short answer
It’s a structured review of whether your business can put AI to work at scale. We look at five areas. Technology, data, people, process and governance. Each gets a maturity score from 1 to 5. You walk away with the gaps, the quick wins and a phased roadmap, so you invest where the return is clearest.
The five pivots
Every assessment runs across the same five pivots. That way your scores mean something, and you can compare one office against another.
01
Technology
Future stack modernisation
Is your stack an anchor or a lever? We check whether your systems can feed agents live data and accept actions back. ERP, CRM, cloud, integration layer and security all get looked at. You find out what can stay, what needs a bridge and what is holding you back.
02
Data
From silos to fuel
Agents are only as good as what they can read. We map where your data lives, how clean it is and who owns it. We also measure how much sits in contracts, emails, reports and PDFs that no system reads today. That number usually surprises people.
03
People
Culture and capability
Tools don’t change a company. People do. We measure AI skills team by team, who owns AI decisions, and how ready your managers are to run teams where agents do part of the work.
04
Process design
The autonomous loop
We walk your core workflows step by step. For each step we mark where an agent can take over, where it should assist and where a person has to stay in charge. This is where the business case comes from.
05
AI governance
De-risked innovation
We check your policies, risk controls and audit trails against the EU AI Act and the rules in your sector. Governance done early is cheap. Governance bolted on after a regulator asks is not.
The AI Maturity Index
We score each pivot from 1 to 5. Most enterprises we assess land between 2 and 3.
1
Exploring
People try public AI tools on their own. No budget, no owner.
2
Experimenting
A handful of use cases tested. Results live in slide decks.
3
Piloting
One or two pilots run on real data. Value is not yet proven at scale.
4
Scaling
Several teams run agents in production with shared controls.
5
AI native
Agents run core workflows. AI cost and value are tracked like any other line in the P&L.
Scope it your way
You don’t have to assess everything at once. Many clients start with the function under the most pressure, prove the value there, then widen the scope. The five pivots stay the same either way.
The Validation First Framework
We don’t do big bang programmes. Phase two exists so you spend on proof before you spend on scale. If a use case doesn’t hold up on your own data, you find out before the budget goes out.
2 to 4 weeks
PHASE 01
AI Maturity Audit
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Comprehensive Evaluation: A deep-dive audit across various cohorts (as required), providing clear insights and prioritized actions to move forward.
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Benchmarking: Compare your maturity against industry peers using our proprietary AI Maturity Index (scored 1-5 per pivot).
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Tools & Techniques: Leverage AI-driven surveys, interviews, comprehensive assessment, and automated scans (e.g., using ML models to analyze people, processes, tech, code repositories, data lakes, or governance policies).
Deliverable
A detailed audit report with maturity scores, SWOT analysis, and visualized heatmaps highlighting strengths and risks across all five pivots.
2 to 4 weeks
PHASE 02
Enterprise AI Readiness and Validation
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Risk & Opportunity Identification
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Gap Analysis
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Ethical & Compliance Check
Deliverable
A readiness scorecard with prioritized gaps, estimated remediation costs, and quick-win recommendations (e.g., low-code AI pilots or initial governance policy drafts).
4 to 6 weeks
PHASE 03
Roadmap and Business Case
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Customized Roadmap: Build a phased, 12-36 month plan tailored to your goals.
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Integration with Business Objectives: Align the roadmap with your KPIs, such as customer acquisition, operational resilience, sustainability targets, or governance compliance metrics.
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Resource Allocation: Provide budgeting guidance, vendor recommendations, and ROI projections for each milestone, including costs for governance tools.
Deliverable
An interactive digital roadmap (e.g., via tools like Miro or custom dashboards) with timelines, dependencies, and success metrics. Includes executive summaries for board-level presentations, with a dedicated section on AI Governance integration.
The first readout lands within 2 to 4 weeks. The full assessment with roadmap takes 8 to 14 weeks, depending on how many functions are in scope.
Deliverables
A maturity score from 1 to 5 for each pivot, benchmarked against peers in your sector
A heatmap of strengths and risks by function
A ranked list of AI use cases with expected value, effort and risk
Quick wins already tested on your data
A cost estimate to close each gap
A 12 to 36 month roadmap with milestones, dependencies and success measures
A board-ready summary, including where you stand on AI governance
A short call with our team. You get an indicative maturity score and your biggest gaps. Then you decide whether a full assessment makes sense.
Why preparation matters
of organisations got no measurable return from their generative AI pilots. The researchers put it down to poor fit with daily workflows, not weak models.
of executives at companies running generative AI reported ROI within the first year.
Both numbers are true. What separates the two groups is mostly preparation. Clear use cases, usable data, owners accountable for results, and controls that let you scale. That’s what this assessment checks.
After the assessment
The roadmap tells you what to build. We can build it with you, or hand it to your team.
AI strategy and roadmapping
Turn the roadmap into a funded programme.
Agentic AI multi-agent solutions
Build the first use cases.
AI governance and EU AI Act
When the governance pivot scores low.
Enterprise technology modernisation
When the technology pivot is the blocker.
Some gaps point straight to a product. If the data pivot shows most of your knowledge sits in documents and emails, EXTRCT is often the first build. If governance is the gap, Cortex gives you one registry and one audit trail for every agent you run.
Enterprise AI readiness assessment, answered
What is an enterprise AI readiness assessment?
It is a structured review of whether your business can put AI to work at scale. We score technology, data, people, process and governance from 1 to 5, find the gaps and quick wins, and give you a phased roadmap so you invest where the return is clearest.
What is the difference between AI readiness and AI maturity?
Readiness asks what is missing before you can launch. Maturity asks how far along you are and what comes next. Our assessment covers both. It scores where you stand on a 1 to 5 scale, then lists what you need to fix to reach the next level.
How long does the assessment take?
You get a first readout within 2 to 4 weeks. The full assessment, with validated quick wins and a 12 to 36 month roadmap, takes 8 to 14 weeks. Scope drives the timeline. One office is faster than the whole group.
What are the five pivots of AI maturity?
Technology, data, people, process design and AI governance. Technology and data decide whether agents can work at all. People and process decide whether anyone uses them. Governance decides whether you can scale them without legal or reputational risk.
Can we assess one department instead of the whole company?
Yes. Many clients start with the function under the most pressure, such as finance, procurement or customer service. We run the same five pivots, so the results line up when you extend to other offices later.
How does AI readiness affect ROI?
Most failed AI projects fail on preparation, not technology. Unclear use cases, unusable data and no owner for results. Fixing those first means fewer stalled pilots, less rework and faster payback. We plan for measurable ROI within 6 to 12 months of starting the build.
Does the assessment cover the EU AI Act?
Yes. AI governance is one of the five pivots. We classify your current and planned use cases by risk, check oversight and logging, and flag what you need in place before scaling. This matters for any company that sells into or operates in the EU.
How do we get started?
Book the free AI maturity quick scan. It is a short call with our team that gives you an indicative maturity score and your biggest gaps. From there you decide whether a full assessment makes sense.
Find out where you stand
Book the free quick scan. You leave the call with a clearer picture of your AI maturity than you came in with, whether we work together or not.
