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Free

AI Strategy Briefing

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Most organisations are investing in AI but are not seeing significant returns. That’s because AI strategy isn’t about tools. It’s about what your organisation needs to become, and using AI to get there. We’ll help you work out what that looks like and build a practical plan to make it real.

  • There's so much noise and hype — how do we separate what's real from what's marketing?
  • Where are we on the AI maturity spectrum — commodity tools, custom solutions, or nowhere yet?
  • Do we need a data strategy before we can have an AI strategy?
  • Where should we start — productivity tools, knowledge bases, or custom agents?
  • We're stuck between doing nothing and doing something expensive and unfocused. How do we break out?
  • We've spent six figures on AI licences — how do we know if we're getting real value?
  • The AI tool landscape changes every quarter — how do we evaluate options without the analysis never ending?
  • Should we standardise on one set of AI tools, or let teams choose their own?
  • Should everyone get AI tools or just developers?
  • How do we structure AI tool licences — individual vs enterprise vs API?
  • What data is safe to put into AI tools in a regulated environment?
  • What security risks do AI tools introduce — prompt injection, data exfiltration, shadow AI?
  • How do we build a governance framework that enables adoption rather than blocking it?
  • The EU AI Act is here — what does it actually mean for how we use AI internally?
  • Can AI really accelerate our data platform migration, or is that just a demo?
  • Could we build a knowledge base on our contracts and RFP responses so tenders don't take a week?
  • We have years of backlog that nobody's had time to build — can AI actually clear it?
  • How do we move from individual experimentation to organisation-wide adoption?
  • Is AI-assisted coding a new way of learning, or does it create a dependency?
  • How do we measure the productivity gains from AI tools?
  • Should we build custom AI solutions or buy off-the-shelf?
  • How do we get reluctant teams to actually adopt AI tools?
  • Is our data in good enough shape to use with AI?
  • What happens when AI gets something wrong in production?

If you're a…

CEO

Wanting to understand where AI fits in your growth strategy — without the hype.

COO

Looking to use AI to automate processes, reduce costs, and improve operational efficiency.

CTO

Creating an AI adoption roadmap and evaluating which tools and platforms to invest in.

IT Director

Needing a governance framework that enables AI adoption without compromising security.

Head of Data

Assessing whether your data platform is ready for AI and what needs to change to get value from it.

Engineering Lead

Wanting to upskill your team with AI-assisted development practices that stick.

…our AI Strategy Briefing is designed especially for you.

The briefing is a FREE one-to-one session via Microsoft Teams. We'll cut through the marketing hype and provide pragmatic, experience-led advice about AI adoption — because we use these tools in production every day, not just talk about them.

Topics covered

Where your organisation sits on the AI maturity spectrum — from commodity tools to bespoke AI-first products.
Navigating the AI tool landscape: harnesses, models, and providers — which ones suit your team and use cases.
Building a practical AI governance framework: data classification, approved tools, output validation, and audit trails.
How AI-assisted development and agentic workflows can accelerate delivery and clear engineering backlogs.
Building domain-specific knowledge bases and RAG systems that surface your organisation’s institutional knowledge.
Upskilling your team: AI-assisted learning pathways that produce real outputs while building durable skills.

At the end of the briefing you will have a clear-eyed view of where your organisation sits, what to prioritise, and how to move forward with confidence. We’ll also provide you with a recording of the meeting and a transcript.

Frequently Asked Questions

How long does the AI Strategy Briefing last? We aim for 60 minutes, which usually breaks down into: introductions (5 mins), understanding your context (10 mins), briefing and discussion (35 mins), and next steps (10 mins). We try to allow a buffer so that the session can overrun, as once the conversation starts flowing it can easily last 90 minutes!
Can I share my current challenges before the briefing? Absolutely! You can either add some context to the booking form, or reply to the meeting invite with background on your current AI usage, team structure, and what you're hoping to achieve. The more information we have in advance, the more we can tailor the briefing to your specific situation.
Is the briefing confidential? By default we operate under Chatham House Rule, but if you prefer, we can issue a mutual NDA to sign. If you require your own organisation's NDA to be signed, we can do that too, but it may take a little longer as we'll have to review the contract.
Can I invite my colleagues to the briefing? Feel free to invite as many people as you feel comfortable with. The majority of people who book want a 1-2-1 briefing as they want a safe space where they can speak about their challenges candidly and without judgement. We'll also provide you with a recording of the briefing, which you are free to share with your colleagues.
Is this a thinly veiled sales meeting? Absolutely not! There's no obligation to engage with us in any way, and we're not going to try and sell you anything. We don't even have a sales team! We love to talk and share knowledge, which you may have noticed if you read our blog, watch any of our talks, or consume any of our open source projects. We find it really useful to talk to organisations about their AI challenges — it helps us better understand the marketplace. That being said, often the participants get a huge amount of value from the session, and the last question we get asked is “how can we work together?”
Are you going to push a specific AI vendor? No. We use a range of AI tools daily and we have practical experience with the strengths and limitations of each. We advocate for the right tool for the right job, not a single vendor's stack. Our advice is grounded in what actually works in production, not what looks good in a demo.