From Pilots to Progress: Making AI Transformation Stick in the SDLC Webinar
Recorded Date: 8th October 2026
Most organisations have proven that individuals can move faster with AI. The next step is proving that teams can too, and that’s where the real gains are still waiting to be unlocked.
In this on-demand session, Equal Experts and Miro share a signal-based approach to AI transformation, one that reads the organisation before it reshapes it, so that momentum builds in the right direction rather than just the fastest one.
This webinar was recorded on 8 October 2026.
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What You'll Learn
- Why the Mikado effect makes some AI decisions easy to take and others far more consequential, and how to tell the difference before you move
- How “organisational archaeology” uses structured conversations to surface the tribal knowledge that standard documentation misses
- Why reversibility deserves to be a first-class design principle in AI transformation, not an afterthought when something goes wrong
- How shared visual workspaces turn individual signals into collective understanding, so teams move from assumption to observation together
Who Should Watch?
- Technology, digital, and engineering leaders
- Architects and business analysts shaping how AI gets applied across their organisation
- Teams who’ve proven AI works for individuals and are ready to make it work for the whole organisation
Why Equal Experts Netherlands?
Equal Experts is a global software delivery partner that embeds senior engineering teams directly inside organisations to deliver AI-accelerated software across the full delivery lifecycle. Tool and tech agnostic and employee-owned, we focus entirely on craft, building capability that stays when we leave, for you to compound the results long after we are gone.
We can run discovery workshops or health checks to help you decide where we can provide instant impact.Speakers
Dave Sammut, Head of Architecture EMEA, Equal Experts
Dave is a hands-on technical architect who bridges business and engineering to turn vision into execution. Working across all levels of an organisation, he drives clarity, reduces risk, and promotes technical excellence. He specialises in delivering AI solutions responsibly, using modern engineering practices and rapid iteration to integrate AI into real-world systems and deliver practical, data-driven value from day one.
Dom Katz, Ways of Working Lead, Miro
Dom Katz is on a mission to make work better. As Miro's Ways of Working Lead, he brings over a decade of experience — including time at Atlassian — helping organisations think more intentionally about how their teams collaborate, innovate and perform. A regular commentator on the future of work, his argument is deceptively simple: we built the most powerful collective-intelligence machine in human history, and immediately pointed it inward. He challenges leaders to rethink what they measure and reward inside their organisations, and to see collective intelligence and human collaboration as the real unlock for the age of AI.
João Rosa, Management Consultant, João Rosa Consulting
João has experience helping organisations move to flow-based operating models. He has worked with scale-ups, mid-cap, and enterprises, helping to bridge strategy to execution. As part of his consultancy practice, he applies principles and practices from Beyond Budgeting and Team Topologies, supporting leaders and their organisations to thrive in a complex world.