A Long-Term, Pragmatic Partner for Responsible AI

Calm, structured progress, cutting through the hype.

AI is reshaping expectations across all industries, especially in software. It's a fast moving train with a lot of hype but also a lot of real opportunity.

The challenge is cutting through this hype, identifying what is genuinely valuable, and implementing it effectively whilst considering risk and reward.

I work with a small number of medium sized B2B SaaS companies on an ongoing basis, focusing on three areas:

01

AI Strategy

I work with your team to develop an AI strategy that aligns with your goals and roadmap.

  • Understanding the product, market and operational practices
  • Identifying valuable AI opportunities within the business
  • Filtering out noise
  • Prioritising initiatives based on risk and reward

02

AI Governance

Proportionate AI governance, aligning with industry standards, including Microsoft's Responsible AI principles.

  • A central, maintainable repository of AI policies, decisions, and documentation
  • Clear ownership and accountability for AI initiatives
  • Risk assessment and ongoing monitoring of model behaviour
  • A baseline assessment of organisational AI readiness

03

Applied Research

Exploring and validating AI opportunities with a practical mindset, before full-scale implementation.

  • Pro-actively identifying meaningful AI opportunities
  • Designing and validating selected AI initiatives before formal roadmap commitment

About me

With a background in software development and business, I have a practical, applied approach to AI.

I started pivoting to Machine Learning in 2021 mainly because it interested me and I saw an opportunity to apply it in meaningful ways as the algorithmns became more accessible. Then, with the release of ChatGPT 3, AI was in the public spotlight and it was immediately obvious that this technology would have a profound impact so I decided to focus on it full-time.

For the first couple of years I went down a rabbit hole, learning about the inner workings of neural networks and supporting mathematics: linear algebra, calculus, and probability. Although I don't use this knowledge on a daily basis, I think it's valuable to understand how the technology works, its capabilities and, more importantly, its limitations.

I like to feel part of the team, immersing myself in the product, the market it operates in, its users, the business problem it solves, the challenges it faces, and the roadmap for the future.

How it works

The partnership is structured as a monthly retainer, where I provide ongoing AI leadership without the cost and commitment of a full-time hire.

I work remotely but stay in regular contact via email, messaging and video calls, with the occasional on-site visit, where appropriate.

I intentionally keep the number of partners I work with low to ensure I have the capacity to provide focused attention and seamless integration into your team.

I align with established frameworks, including the NIST AI RMF and Microsoft Responsible AI, to ensure a consistent and professional approach to AI governance. Structured documentation and templates support each stage of the process, from discovery and assessment through to recommendations and implementation.

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Discover

The discover phase is the foundation for everything that follows. A deep contextual understanding of the market, product, and operations is essential for making informed decisions.

I'll spend an appropriate amount of time onboarding through documentation review, hands-on use of the product, and interviews with key stakeholders.

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The operating loop for continuous improvement

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Assess

  • Evaluate feasibility, risk, and expected impact
  • Filter out hype and focus on what matters
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sort

Prioritise

  • Rank initiatives by strategic value and readiness
  • Build a phased roadmap aligned with business goals
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build

Implement

  • Design and build selected AI initiatives
  • Integrate into your existing systems and workflows
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monitoring

Monitor

  • Track model performance and behaviour over time
  • Iterate and refine based on real-world feedback
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Implementation support

Where appropriate, I can implement the selected AI initiatives under separately scoped projects.

Operational support for production systems remains with your internal team. My involvement is focused on strategic guidance, design, and implementation during working hours.

Who this is for

This partnership works best for medium sized companies who:

  • Have an established product and team
  • Want to remain focused on their product and customers
  • Are curious about AI and willing to embrace change
  • Want to experiment responsibly
  • Don't have the resource to deeply track the AI landscape

Rather than commiting to a full-time AI lead, they value access to a strategic partner who sees AI adoption across multiple organisations and brings that perspective into deliberate, calculated decisions.

Pricing

Partnerships typically begin from £2,500 ex VAT per month, depending on scope and level of involvement.

Getting started

If you'd like to explore whether this is a fit, we can begin with a short exploratory conversation.