AI initiatives often stall for one reason: integration is missing. Many organisations focus on building innovative AI models, but without the ability to connect them into workflows, systems, and automation layers, those models never deliver operational value.

In this on-demand fireside chat, Roy Illsley (Chief Analyst, Omdia) and Dave Pemberton (Product Management Lead, IBM webMethods) break down why integration is the foundation that determines whether AI scales—or stops at the pilot stage. They explore how organisations are creating the “connective tissue” between AI and business operations to turn isolated experiments into governed, end-to-end processes that produce real outcomes.

Key takeaways:
- Why AI fails without integration: even strong models stall if they can't connect to enterprise workflows and data.

- AI + integration is a two-way dependency: AI needs integrated access to knowledge; integration uses AI to simplify complexity for non-specialists.

- The organisational gap: most teams support specialist integrators but leave business technologists unable to scale their own AI-led initiatives.

- Governance matters: safe AI requires controlled, permission-based access across systems—not unrestricted connectivity.

- How to achieve real value: embed AI into operational processes to move from pilots to measurable, scalable business impact