Leave with clarity you can execute.
Built for decision-makers responsible for delivery speed, risk, and platform strategy.
This isn’t “AI inspiration.” It’s a room for leaders who need practical decisions they can take back to teams.
Every speaker is chosen for credibility and execution experience.
Expect real systems, real constraints, real outcomes.
Head of Center for Artificial Intelligence & Analytics - Fidelidade
Most organizations are building agents. Few are building agentic systems.
The difference comes down to context: the data paths, sovereignty controls, and integration protocols that determine what an agent knows, what it can touch, and whether you can trust what it does with both.
In this session, Michael Bachman explores how modern computation--structured around tools, memory, skills, and real-time data activation--can give agentic systems the context they need to be governable, trustworthy, and practical, today.
The AI challenge is no longer experimentation — it is industrialization. While 75% of enterprises are already experimenting with generative AI, fewer than 5% have scaled AI across business units.
The structural barriers are clear: legacy integration, data quality, and fragmented enterprise architectures. In this talk, Gabriel Coimbra traces the path from AI momentum to measurable business impact, arguing that integration is the hidden infrastructure of AI value creation.
He addresses how CIOs can move beyond proof-of-concepts by leveraging API-led connectivity, composable architectures, and intelligent orchestration to turn AI into a production-grade capability — and how to measure real ROI in the short and medium term.
In a world where enterprise software is shifting from deterministic to adaptive, the integration partner is no longer a service provider — it is a strategic enabler.
ASOS set out to modernise a targeted set of applications, but with a constraint familiar to many enterprises: limited time, constrained capacity, and a live estate that couldn’t pause. The shift came with the introduction of an AI-led delivery model.
This session explores how AI agents were used to analyse legacy applications, surface hidden patterns, generate documentation, and accelerate decomposition into Azure-native architectures. Rather than isolated prompts, the work evolved into an orchestrated, agent-driven workflow, with each step owned by specialised AI and governed by human review.
You’ll hear how this approach enabled faster understanding of a poorly documented estate, improved consistency across services, and unlocked meaningful productivity gains, without disrupting ongoing delivery.
Jointly delivered by ASOS and their partner QuadCorps, this is a grounded view of how AI can be applied to real integration modernisation, where it works, where it doesn’t, and what it takes to make it credible.
These are the top-tier sponsors of our 2026 edition of Integration Tomorrow.