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AI Readiness Workshops

Structured facilitation for cross-functional teams — evaluate where you stand, align on what matters, and walk away with a prioritised AI roadmap and readiness report. Available as a single session or a series, remote or in person.

Half-day or full-day Remote or in person Cross-functional teams Vendor-agnostic outputs

Research-Backed Insights

The AI Readiness Gap

30%

of generative AI projects are abandoned after proof of concept — most commonly due to poor cross-functional alignment and undefined business priorities before work begins

Gartner AI Research, 2024

74%

of executives say the biggest barrier to AI adoption is not technology — it's people, process, and priority alignment within the organisation

PwC AI Predictions Survey

1 in 3

organisations can clearly identify which AI use cases offer the highest value — the rest invest without a coherent prioritisation framework

McKinsey: The State of AI

more likely to achieve measurable business outcomes — organisations with structured AI readiness assessments versus those who begin implementation without one

McKinsey: The State of AI

The Problem

Where AI Initiatives Stall

Most organisations feel the pressure to adopt AI, but lack the internal clarity to move confidently:

  • Business and technical teams disagree on which problems AI should solve first
  • No baseline understanding of data quality, infrastructure, or skills gaps
  • Investment decisions made without a clear picture of feasibility or ROI
  • Months pass in planning cycles with no tangible progress

The Solution

The Workshop Approach

Structured facilitation that produces concrete, actionable outputs in days — not months of internal debate:

  • Cross-functional alignment between business leaders and technical teams
  • Scored, prioritised use cases grounded in real technical and compliance feasibility
  • Outputs are vendor-agnostic — your team or any provider can act on them
  • Facilitated by the same team that builds AI systems — advice grounded in delivery reality

Workshop Components

What We Cover

Each workshop is tailored to your organisation, but follows a structured framework covering five core components.

01

AI Landscape Mapping

Where AI is being applied in your industry today, what's technically achievable, and how peers are creating competitive advantage — so your team starts from an informed baseline.

02

Current-State Process Audit

A structured review of your existing workflows to identify which processes are highest-value targets for AI automation — and which are not ready for it yet.

03

Use-Case Scoring & Prioritisation

Scoring candidate use cases across value, technical feasibility, compliance risk, and time-to-impact — producing a defensible prioritisation your stakeholders can stand behind.

04

Team Readiness Assessment

Evaluating data quality, technical infrastructure, internal skills, and governance posture to understand what needs to be in place before any implementation begins.

05

Next-Steps Planning

Translating workshop outputs into a sequenced plan with owners, milestones, and dependencies — ready to hand to any implementation team, including yours.

Workshop Outputs

What You Walk Away With

Every workshop produces two concrete deliverables — a written report and an actionable roadmap.

AI Readiness Report

A structured written assessment of your organisation's current AI maturity across five dimensions, with clear identification of gaps, risks, and foundational requirements.

  • Current-state maturity scores across data, infrastructure, skills, governance, and strategy
  • Identified gaps and risks that need addressing before implementation
  • Compliance and regulatory considerations relevant to your industry

Prioritised AI Roadmap

A concrete implementation plan sequencing your AI initiatives by value and feasibility, with enough detail for your team or any external provider to act on immediately.

  • Use cases ranked by value × feasibility with clear scoring rationale
  • Suggested sequencing with dependencies and resource estimates
  • Clear next steps — including honest guidance on whether you need external help

Frequently Asked Questions

Both options are available. Remote workshops work well for geographically distributed teams and can be delivered just as effectively as in-person sessions. In-person is often preferred for larger groups or when hands-on collaborative exercises are central to the agenda. We'll discuss what works best for your team during the initial scoping conversation.

Workshops are designed for cross-functional groups — ideally including business decision-makers, operations leads, and at least one technical representative. The goal is to produce outputs that have buy-in from both the business side and the people who will implement. We recommend no more than 8-12 participants to keep sessions productive.

Minimal preparation is required from participants — the workshop is designed to work with whatever your team knows on the day. We'll send a brief pre-read document (15-20 minutes) and a short questionnaire in advance to help us tailor the session. Participants don't need any AI expertise; genuine familiarity with your own operations is far more valuable.

No. The workshop outputs — your AI Readiness Report and Prioritised Roadmap — are designed to be actionable by any team. Some clients take the outputs and implement internally or with their preferred technology partner. Others choose to continue with Deep Learning Cafe for implementation, which is a natural transition since we already understand your context. There is no obligation either way.

Format is flexible. A single concentrated session runs half a day or a full day, depending on the scope and number of participants. For organisations with complex operations or multiple business units, a short series of focused sessions (typically 2-3 half-days) often produces better outcomes than a single long session. We'll scope the format during our initial conversation.

Ready to Map Your AI Roadmap?

Book an AI Workshop and walk away with a prioritised roadmap and readiness report in days — not months of internal debate.