Organizations are rapidly investing in AI across their enterprise, from Microsoft Copilot and Gemini to ServiceNow Moveworks, domain-specific AI, and an emerging generation of AI agents. While each platform can create significant value, the result can quickly become a fragmented and increasingly complex AI landscape.
For Enterprise Service Management, this creates a fundamental challenge. The traditional "House of ESM" is being reshaped by AI, introducing new ways to access services, consume knowledge, automate processes, and orchestrate work across platforms. At the same time, employees expect a simple, connected experience, regardless of which AI or system sits behind it.
In this session, we explore how organizations can simplify their multi-platform AI journey and move from a collection of individual AI initiatives towards a coherent enterprise ecosystem. We will look at the impact of AI on ESM and discuss the key considerations for deciding where different AI platforms, agents, and capabilities should play a role.
The goal is not to eliminate the multi-platform reality, but to make it work: simpler for employees, scalable for the enterprise, and focused on measurable business value.
Explore how GBS and finance functions are transitioning from traditional RPA to Agentic AI, and to discuss the technological, organizational, and human impacts of this shift.
• Why R2R is becoming a strategic priority: Managing fragmented processes, systems and compliance requirements
• What is the hardest part of moving from lift and shift to real process standardisation?
Room, Speaker: Denodo with Client, Language: EN
• How AI improves cash forecasting and payment prediction
• How to scale process mining beyond financial KPIs.
• The biggest myth in payroll outsourcing
AI is moving from co-pilots that answer questions to autonomous agents that actually do the work.