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Learnings from the work.

Featured

27 August 2026

We were both excited about AI. We were not speaking the same language.

Most AI use is still chat. The gap between chat and agentic AI is where organisations lose the value they think they've already captured.

Regina Berengolts · 4 min read

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More learnings

  • 8 October 2026

    Many of us are using AI at work now. I keep getting asked what new workflows should look like.

    AI is changing how businesses operate. Regina Berengolts explores how to redesign your workflows, remove unnecessary steps and keep human judgement at the centre.

    Regina Berengolts · 4 min read

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  • 12 February 2026

    Is AI Changing the Math on Custom Internal Tools?

    For the last decade, the enterprise software playbook was largely settled: if you were serious about scaling, you bought a suite.

    Vaul Labs · 4 min read

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  • 10 December 2025

    5 AI Workflows That Transformed How I Operate as CEO - With Measurable Results

    As 2025 comes to a close, our CEO Brian Hills reflects on how we’ve used AI to build and grow our own business.

    Brian Hills · 3 min read

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  • 4 November 2025

    Fractional Leadership for Scale-Ups: What Investors and CEOs Need to Know

    Fractional leadership has moved into the mainstream for scale-ups. The model is now well understood and used to solve specific growth, platform, and organisational challenges without adding permanent executive headcount.

    Vaul Labs · 3 min read

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  • 23 October 2025

    What We’re Learning From Our Own Workshops

    5 Challenges Teams Face in Adopting AI - and the Practical Steps to Overcome Them

    Vaul Labs · 4 min read

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  • 9 October 2025

    AI in Practice: Three Fundamentals for Board Leaders

    In September, our CEO, Brian Hills, delivered the opening session at the inaugural Chair Circle event in Scotland, sharing practical insights on what Chairs need to know about AI.

    Vaul Labs · 5 min read

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Series

Demystifying AI

The moving parts of AI, taken one at a time and explained the way we wish someone had explained them to us: the model, the prompt, the context and the harness around them.

  1. 01

    Which Model is Best?

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  2. 02

    What Makes a Good AI Prompt?

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  3. 03

    Why Context Matters in AI

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  4. 04

    The Models Have Never Been Better. So Why Do AI Initiatives Still Fail?

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