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The AI Readiness Scale: Where Is Your Team — and What Gets Them to the Next Level?

7 April 2026 • 12 min read • By Rod Doyle & Lisa O’Reilly • AI & Workforce Development
TL;DR Most teams are stuck at Stage 1 or 2 of AI readiness — they know AI exists but aren’t using it consistently. This guide gives you 7 stages to benchmark your workforce against, real examples of what each stage looks like, and the funded programmes that move teams up. There’s a quick self-assessment below if you want your answer in 60 seconds.

Quick Assessment: Where Is Your Team?

Answer 5 questions. Takes 60 seconds. No data collected.

1. When someone on your team needs to summarise a long document, they…

2. How does your team handle repetitive admin (data entry, status updates, report formatting)?

3. If a manager needs to make a decision using team data (performance, output, attendance), they…

4. How many people on your team could build a simple automated workflow (e.g., auto-send a report, route an approval)?

5. When a new AI tool launches (like Gemini in Google Workspace or Copilot in Microsoft 365), your team…

The 7 Stages of AI Readiness

Every team sits somewhere on this scale. Most are at Stage 1 or 2. The organisations pulling ahead are the ones that have identified where they are and invested in moving up — not with one-off training days, but with structured programmes that build real capability over time.

Stage 1

Googlers

Your team searches Google for answers, reads articles, watches YouTube tutorials. AI isn’t part of how they work. They might have heard of ChatGPT but haven’t used it for anything meaningful.

You’ll recognise this if… Someone asks “how do I write a formula for X?” and the answer is always “Google it.” Reports are written from scratch every time. Meeting notes are typed up manually. The team doesn’t know what Gemini or Copilot are, or thinks they’re “not for us.”
What moves them up Awareness. Show them one task they do daily that AI can do in seconds. A 90-minute workshop is often enough to get people to Stage 2. The key is making it real — use their actual work, not generic demos.
Stage 2

Prompters

A few people use ChatGPT, Gemini, or Copilot occasionally — usually for writing emails or brainstorming. But it’s sporadic, individual, and nothing sticks. There’s no process, no consistency, no shared practice.

You’ll recognise this if… Two or three people mention AI in passing but nobody else has tried it. There’s no shared knowledge about what works. Everyone starts from blank prompts every time. AI use disappears when those early adopters are busy or on leave.
What moves them up Structure. Turn ad-hoc prompting into repeatable workflows. This is where the AI & Automation L4 apprenticeship starts to make a real difference — it gives people a framework, not just a tool. Funded at £18,000 through the levy.
Stage 3

Project Builders

People are starting to use AI for real work — drafting documents, analysing data, creating presentations. But it’s still siloed to individuals. There’s no team-wide approach and no one’s connecting AI to the tools where data actually lives.

You’ll recognise this if… One person has built a clever AI prompt for their weekly report. But nobody else uses it. Data still gets copy-pasted between systems. People use AI and their normal tools as separate things, switching back and forth.
What moves them up Connection. AI needs to plug into the tools where work actually happens — Google Sheets, Outlook, your CRM, your project tracker. The Google Workspace or Microsoft 365 edition of the L4 apprenticeship teaches exactly this.
Stage 4

Connected Workers

AI is plugged into real tools. Gemini summarises emails in Gmail. Copilot generates charts in Excel. Data flows between systems without manual copy-pasting. The team is starting to save genuine time.

You’ll recognise this if… Weekly reports that took half a day now take an hour. Someone has connected a Google Sheet to an automated notification. Meetings produce AI-generated summaries. But it’s still the same few people driving this — most of the team hasn’t caught up.
What moves them up Capability spread. The skills need to move beyond early adopters to the whole team. This is where managers play a critical role — the Data-Driven Team Leader L3 equips leaders to drive data-informed decisions across their teams. Funded at £13,000.
Stage 5

Builders

Team members are building things — custom apps in AppSheet or Power Apps, dashboards that update themselves, automated approval workflows. They’re solving real problems without waiting for IT.

You’ll recognise this if… Someone built an expense approval app on their phone last month. A manager created a live dashboard tracking team output. The finance team automated their monthly reconciliation. These aren’t IT projects — they’re built by the people who do the work.
What moves them up Governance and scale. Individual automations are great, but they need to become team processes. Managers need to understand what’s been built, how to maintain it, and where to invest next. The AI for Operations Leaders L4 gives managers the strategic AI literacy to lead this.
Stage 6

Automators

Recurring work runs itself. AI handles the first draft, routes the approval, sends the notification, generates the report. People spend their time on judgment calls, exceptions, and improvements — not routine processing.

You’ll recognise this if… New starters are onboarded through an automated workflow. Customer feedback is categorised by AI before anyone reads it. Managers get AI-generated insights every Monday morning without asking. The question has shifted from “can we automate this?” to “why haven’t we automated this yet?”
What moves them up Culture. At this stage, AI isn’t a tool — it’s how the team operates. The next step is embedding AI thinking into how you hire, how you set objectives, and how you measure performance. Continuous development through advanced programmes keeps the edge.
Stage 7

AI-Native Teams

AI is woven into the operating model. Every new process starts with “what can AI handle?” The team runs a deliberate stack of AI tools, each chosen for a specific purpose. People are more productive, more data-literate, and more adaptable than teams that haven’t made this shift.

You’ll recognise this if… New hires are surprised by how much runs automatically. Your team achieves more with fewer manual hours than competitors. When a new AI capability launches, someone evaluates and deploys it within a week. Data-driven decisions are the norm, not the exception.
What keeps you here Investment in people. Technology changes fast — the teams that stay at Stage 7 are the ones that keep developing their people. Regular upskilling, new cohorts on apprenticeship programmes, and a culture that treats AI fluency as a core skill, not a one-off project.

Which Programme Fits Which Stage?

Every TESS Group programme maps to a specific jump on the readiness scale. Here’s where each one fits:

Stages 2–3 → Stages 5–6

AI & Automation L4

The big leap. Takes practitioners from ad-hoc prompting to building real automations. Available in Microsoft 365 or Google Workspace editions. 15 months, £18,000 levy-funded.

Programme details →
Stages 1–2 → Stages 3–4

Data-Driven Team Leader L3

For operational leaders. Turns gut-feel managers into data-informed decision makers. Dashboards, Power BI, evidence-based leadership. 15 months, £13,000 levy-funded.

Programme details →
Stages 4–5 → Stages 6–7

AI for Operations Leaders L4

For managers leading AI-enabled teams. Strategic AI literacy, governance, and operational AI deployment. Levy-funded.

Programme details →
Stage 1 → Stage 2

AI Awareness Workshops

90-minute to half-day sessions. Hands-on, practical, using your team’s real work. The quickest way to move from “I’ve heard of AI” to “I just used it.”

Book a workshop →
The most common mistake Organisations jump straight to buying AI tools without assessing where their people are. A team at Stage 1 doesn’t need Copilot licences — they need awareness. A team at Stage 3 doesn’t need another workshop — they need a structured programme that builds real automation skills. Match the intervention to the stage.

Why Most Teams Get Stuck at Stage 2

Stage 2 is the most crowded part of the scale. Almost every organisation has a few people experimenting with AI. The problem is that experimentation without structure doesn’t compound. Here’s why teams stall:

This is exactly why apprenticeship programmes work for AI skills. They’re not a course you attend and forget — they’re 15 months of structured learning applied to your actual job, with qualifications at the end that prove the capability is real.

Find Out Where Your Team Sits

Take the quick assessment above, or book a discovery call and we’ll help you map your team’s AI readiness and recommend the right programme for each stage.

Book a Discovery Call

Frequently Asked Questions

What is AI readiness?

AI readiness is how prepared your workforce is to use AI tools effectively in their daily roles. It goes beyond awareness — it covers whether people can prompt AI well, connect it to real workflows, build automations, and operate AI as part of how the team works. Most UK teams are at Stage 1 or 2: they know AI exists but aren’t using it consistently or productively.

How do I assess my team’s AI readiness?

Start by observing how your team actually works. Are they still Googling questions AI could answer? Are they copy-pasting between tools that could be connected? Are any automations running? The 7-stage scale above gives you a framework to benchmark against. The interactive assessment at the top of this page gives you a quick starting point.

Can AI readiness be funded through the apprenticeship levy?

Yes. The AI & Automation L4 is fully funded at £18,000 through the Growth & Skills Levy for levy-paying employers. SMEs can access government co-investment or full funding. The Data-Driven Team Leader L3 is funded at £13,000. These programmes take teams from the lower stages to Stages 5–6 over 15 months, with accredited qualifications included.

What if my team is at different stages?

That’s normal. Most organisations have a mix — a few early adopters at Stage 4–5, a majority at Stage 1–2, and managers who need data skills to lead AI-ready teams. The right approach is matching programmes to where people are: workshops for awareness, the AI & Automation L4 for practitioners, and the Data-Driven Team Leader L3 for operational leaders.

How long does it take to move up the AI readiness scale?

A focused workshop can move someone from Stage 1 to Stage 2 in a day. The AI & Automation L4 apprenticeship typically moves people from Stage 2–3 to Stage 5–6 over 15 months. Moving an entire team takes longer because it requires culture change, not just individual skills. But the apprenticeship model — learning while working — accelerates this because skills are applied immediately.

Related Reading

AI & Automation Apprenticeship L4
Full programme details, module breakdown, and how to apply.
Google Workspace AI Apprenticeship Guide
The complete guide for organisations running Google Workspace.
Data-Driven Team Leader L3
Data skills for operational leaders. Replaces the defunded Team Leader L3.
The AI Skills Gap in the UK (2026)
The data behind the UK’s AI skills shortage and what employers can do.
RD

Rod Doyle

Director at TESS Group. 15+ years designing apprenticeships and workforce development programmes for operational teams across the UK.

LO

Lisa O’Reilly

Director at TESS Group. Specialist in AI skills development, workforce transformation, and apprenticeship programme design.