Robin Olsson
Agile Team Lead, Senior Consultant, Logiq
Newport, United Kingdom
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Robin is a seasoned Agile Team Lead and Senior Consultant with extensive experience in driving strategic transformation, optimisation, and agile product management across the education, data, and public sectors. With a proven track record in leading high-performing teams, Robin has played a key role in guiding Agile and Product Ownership functions, overseeing diverse teams of Agile Coaches, Product Owners, and Scrum Masters to deliver impactful digital transformations.
Throughout their career, Robin has worked on large, medium and small projects, process optimisations, and digital innovations, consistently aligning complex projects with organisational goals to maximise value. Their leadership has enabled seamless change management and agile delivery in both public and private sector environments, including high-stakes governmental projects and data-intensive initiatives. Known for a collaborative, results-focused approach, Robin excels in cross-functional stakeholder management, fostering team alignment, and driving efficiency at every stage of the product lifecycle.
With a unique ability to navigate complex business needs and build agile capabilities within organisations, Robin is dedicated to empowering teams and stakeholders to achieve sustainable transformation and continuous improvement.
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The successful failure: How our perfect AI tool drowned on the shore of adoption
When the Generative AI boom hit, we jumped in head-first. Logiq built an internal AI tool designed to make business development more accessible to everyone in the business. Early results were promising.. senior leaders praised its outputs, and the excitement was palpable. But when we tried to scale adoption across the wider business, the tool sank without trace.
Why did a technically sound solution fail so spectacularly? Because technology alone doesn’t change behaviour. We underestimated the cultural readiness required for AI adoption, the confidence gap among teams, and the need for structured education.
In this talk, we share the story of our “successful failure” - what worked, what didn’t, and the organisational lessons that matter more than the tech. You’ll learn why ROI on AI investments is a cultural challenge, how to spot early warning signs, and what steps can help future AI initiatives succeed.
Whether you’re an AI sceptic, centrist, or advocate, this is a candid look at the human side of AI transformation.
Generative AI is everywhere, but successful adoption isn’t about using the latest and greatest tech, it’s about people. Many organisations are racing to deploy AI tools without considering cultural readiness, education, and trust. This talk shines a light on the hidden barriers that derail even the most promising initiatives.
By sharing a real-world failure, we’ll explore why technical success can still lead to organisational failure, and how leaders can avoid repeating these mistakes. Attendees will leave with practical insights on building cultural foundations for AI adoption, creating confidence among teams, and aligning technology with human behaviour.
If your organisation is investing in AI (or planning to) this session will help you turn ambition into sustainable impact.
Let me AI that for you
Giving someone access to AI doesn’t mean they know how, when, or whether they should use it. Yet as generative AI arrives in organisations faster than people can adapt, the temptation is to buy the tools, switch them on and tell everyone to start using them.
We learned this the hard way.
Our early attempts at AI adoption showed us that the biggest barriers weren’t technical. They were human. People worried about getting things wrong, exposing organisational information or trusting AI-generated outputs. Others simply couldn’t see where AI could genuinely improve their working lives.
So we changed our approach, starting with people’s needs rather than the technology. We focused on building confidence and creating an environment where people had the skills to experiment safely. Training moved beyond using a particular tool to cover what AI can do, where its limitations are, how to protect sensitive information and how to identify opportunities in people’s own work.
Building that confidence also meant finding the right balance between experimentation and control. Lock AI down too tightly and employees never develop the confidence or experience required to innovate. Open everything without education and governance, and organisations expose themselves to unnecessary risk.
In this talk, we share what we learned about creating the space between those two extremes: removing unnecessary barriers so people can experiment, while giving them the knowledge and guardrails to do it safely.
We’ll explore how to identify adoption blockers and knowledge gaps, tailor training to different clients and needs, using practical experimentation grounded in people’s everyday work to build confidence in responsible AI use.
Successful AI adoption isn’t about forcing everyone to use AI. It’s about giving people the confidence, skills and permission to discover where it can genuinely help them work better.
Robin Olsson
Agile Team Lead, Senior Consultant, Logiq
Newport, United Kingdom
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