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Equal Experts

 

AI-native isn't a tool. It's how your teams operate. 

 Equal Experts is at Gartner IT Symposium/Xpo 2026 in Barcelona.

Come and talk to us about the operating model and governance changes that actually make AI-native delivery work. 

Equal-Experts-Office-0450-1-129

Equal Experts at Gartner Symposium

We've got the tools. What hasn't changed is how you work. 

Most large organisations have already bought the AI tooling. What hasn't changed is how teams are structured, how they work, and how that work is governed. That's the gap between AI-augmented - humans led, AI assisting - and truly AI-native - AI-driven, human-supervised. It's where the real value is sitting, unclaimed.

Equal Experts works alongside enterprise engineering teams on exactly that shift: redesigning operating models - team structures, ways of working, the human-AI workforce - and getting governance and cost control right as you scale, rather than bolting it on afterwards.

We're not here to sell you a product or a roadmap deck. AI-native delivery is only ever perfected by experienced people working inside your teams, not by tooling alone - and that's who we bring. A network of practitioners who've done this in large, regulated, complex organisations, honest about what's working and what isn't. Our aim isn't to become a permanent fixture; it's to build your team's own capability so you need us less over time, not more.

Three reasons to come find us on the floor:

  • We talk operating models, not buzzwords. How team structures, roles and ways of working actually need to change to get value from AI - not another generic "we've solved agentic AI" pitch.
  • We know governance can't be an afterthought. Cost control and AI governance built in as you scale, not bolted on once things have already gone sideways.
  • We've done this in complex, regulated organisations - government, financial services, manufacturing — where "just move fast" isn't an option.

Who will you meet

 No sales pitches - our team on the ground are practitioners, not account managers.

Jon Dickinson B&W

Jon Dickinson
Chief Commercial Officer

Leading our stage session on why the operating model, not the tooling, is really blocking AI value.

Mike Lamb B&W

Mike Lamb
Strategic Partnerships

Ask him about scaling AI delivery across large, complex organisations.

Dave Sammut B&W

Dave Sammut
Client Focused Industry Leader

Deep enterprise delivery experience - peer-level conversations on scaling AI in complex environments. 

Simon Bostock B&W

Simon Bostock
Managing Director, Benelux

Deep enterprise delivery experience - enterprise-scale AI delivery, no fluff. 

Simon Case B&W

Simon Case
Head of Global Data & AI

Bringing the data lens to AI-native delivery, ask him how your data foundations hold up once AI is actually driving the work. 

Sarah Wilkinson B&W

Sarah Wilkinson
Event Lead

Say hi on the stand, she's running the show and can point you to the right person.

Want to guarantee time with one of us? Complete the form to get in touch

Our speaking session

unnamed

Moving From AI Coding Tools to Measurable Value  

Most organisations have given their software teams AI tools and are still waiting for the return. Buying the tools is the easy part, and most organisations get stuck there. The value comes when teams change how they work, moving from what Gartner calls AI-Augmented to AI-Native software engineering, and it only compounds on sound engineering foundations.

In this session, Equal Experts is joined by Adam Linford, Technology Director at AXA UK, to share what that shift actually takes inside a large, regulated enterprise: how AXA built governed, versioned AI workflows, why the real bottleneck moved from writing code to changing it safely, and how they are turning released capacity into measurable value.

You'll leave with a clear, practical view of where to invest to make AI pay off in software delivery.

Get your AI Maturity plan before you land in Barcelona

The same assessment we're running live on the stand, start it now, and pick up the conversation with us in person.

How mature is your organisation's approach to AI?

Not just the tooling but the operating model and governance behind it?

Answer a short set of questions and we'll send you a practical 30-60-90 day plan: what to fix first, what to build next, and where your governance is most exposed as you scale.

Bring your results to the booth and one of our team will walk through them with you - or book a 45-minute 1:1 session with one of our AI architects during the event Monday or Tuesday of the event.

Video Gallery

AI Everywhere Equal Experts Gartner Symposium 2026
1:12

Two years on from "AI Everywhere"

Discover how AI-native delivery shifts teams from writing code to managing semiautonomous AI agents. Learn why you must build this capability rather than buy a solution, and how leaders can get started by pairing top engineers with real, focused problems.

AI delivery in 2026 - Simon Bostock
2:47

AI Delivery in 2026

Discover how to transition to an AI-native software delivery lifecycle. Move beyond simple code generation and learn to optimise entire workflows, improve stakeholder handoffs, and restructure processes. Find out why senior practitioners are more essential than ever for guiding and managing AI as a teammate.

Three words to describe AI
2:57

Twenty senior practitioners. One question. Three words each. No hedging.

Discover how Equal Experts approaches AI. In this video, speakers share three-word philosophies that define their strategy: "diligence over hype," "amplify, not replace," and "outcomes over output". Embracing a pragmatic, responsible, and human-first mindset, they focus on delivering tailored engineering practices that truly fit their clients' needs.

AI gives you speed - Todd Anderson
0:32

AI gives you speed.

AI offers speed but introduces a "verification tax". Every rapid output demands rigorous checking, security, ownership, and governance. Leaders must deliberately budget for this reality by embedding assurance, evaluation, auditing, and human approval directly into their workflows from day one.

AI productivity gains rarely become team-level ROI - Ben Wilkes
0:44

AI productivity gains rarely become team-level ROI.

Stop optimising in silos. This video explains why relying on existing, individual processes and tools limits your potential. Discover how shifting to team-based ways of working, using shared repositories and context engineering, allows multiple disciplines and AI to collaborate effectively for a true end-to-end process.

Five years of AI conversations - Rhyd Lewis
1:16

Five years of AI conversations.

Discover the real-world patterns of client AI usage. The speaker addresses stakeholder pressure for tangible benefits, token costs, compliance, and security worries. Learn how AI excels at reverse engineering and legacy code, and why it cannot replace human judgment and oversight processes.

Treating AI as a tooling upgrade - Dave Sammut
0:27

Treating AI as a tooling upgrade is the most expensive mistake CIO's are making

AI delivery requires a fundamental shift in your delivery model, not just a simple tooling rollout. While upgrading tools is easy, changing team mindsets and ways of working is the hard part. Avoid the common mistake of treating AI as just a tool upgrade.

Reverse-engineering a legacy system used to take months - Slide 1
1:41

Reverse-engineering a legacy system used to take months.

Discover how an agentic framework completely automates end-to-end application reverse engineering. By capturing deep system insights, this innovative process accelerates the delivery of high-quality, autonomous coding and product requirements documentation, all while saving valuable manual time.

Every board wants to know AI isn't shipping something they'll regret_Andy Vays
1:00

Every board wants to know AI isn't shipping something they'll regret.

Governance is a hot topic for ensuring trust in Large Language Model outputs. By implementing rules and structures, you can control inputs and outputs to enable faster, consistent progress. Discover how automated testing creates reliable, measurable AI outcomes that fit your organisation's standards and policies.

We took AI tools away from a high-performing team_James Williams
1:24

We took AI tools away from a high-performing team for six weeks.

Discover how a team measured ROI by removing their AI tools. Going back to first principles helped them rebuild their coding muscle and take full ownership of their code. Learn why building high-quality teams matters first, and how AI acts as an amplifier to make them run faster.

The whole organisation went on AI training_Sofie Jensen
1:14

The whole organisation went on AI training. Nothing happened.

Struggling to see ROI after investing in AI tools and training? Individual knowledge isn't enough; true progress requires organisational enablement. Learn why behaviour change and systemic alignment are the keys to moving your business forward, rather than having teams optimise for different paces. Discover how to win the race.

The industry is obsessed with AI code generation_Phil Parker
0:57

The industry is obsessed with AI code generation.

The tech industry is obsessed with AI code generation, but code rarely equals business value. This video challenges that focus, examining where tech teams actually spend their time and how much work is lost to waste. Learn why successful leaders use AI to reduce systemic waste instead.

The AI metric that used to be a useful measure_Steve Smith
0:53

The AI metric that used to be a useful measure has quietly become a target.

Discover how performance metrics backfire when they become goals. Exploring Goodhart's Law, this video shares real-world examples, from an AI leaderboard burning through annual budgets to teams hiding system defects. Learn why measuring people incorrectly drives bizarre behaviours and how to avoid these common corporate traps.

Four senior practitioners. One argument_Jon Dickinson, Simon Bostock, Dave Sammut, Ben Wilkes
1:25

Four senior practitioners. One argument.

Unlocking the true value of AI requires more than just purchasing licenses. It demands a fundamental shift in working practices and team structures. Discover why leadership and senior practitioners are vital to driving this business transformation and preventing failure in your AI delivery model.

Technology is moving faster than the financial year_Matt Ballantine
1:10

Technology is moving faster than the financial year.

In a rapidly changing technological landscape driven by generative tools, predictable futures are gone. To avoid missing crucial opportunities, organisations must outpace traditional annual planning cycles. Discover how building buffer and flexibility into your strategy allows your team to adapt, pivot, and react effectively.