AI Can Answer. But Can It Execute?
For organizations still running SAP ECC, modernization can feel like a decision with an obvious downside. Why invest in neAI is getting better at answering questions, generating recommendations and planning next steps.
But in enterprise operations, knowing what to do is only part of the challenge. The real test is getting work done within the systems, business rules and processes that keep an organisation running.w operational applications today if the move to S/4HANA could mean rebuilding them tomorrow?
Many of those rules are embedded in custom SAP logic, established workflows and connected systems. If AI can’t work within that reality, its potential remains difficult to turn into operational results.
In this episode of Neptune Talks, we explore the execution gap between what AI can do and what businesses need it to do.
Listen on Spotify
Listen on YouTube
In this episode
- The gap between answers and action: Why useful AI needs to do more than generate a response.
- The role of custom business logic: Why the way a company has adapted SAP can be essential to how it operates.
- Making work easier to execute: How fit-for-purpose business applications and connected workflows can reduce friction.
- AI in real business processes: What it takes for AI agents to act within existing systems, rules and controls.
- The path towards greater autonomy: Why progress starts with practical improvements to everyday work, with people remaining in control.
The goal isn’t to replace the systems businesses already rely on. It’s to make the work running through them easier to execute, while creating a practical path towards the autonomous enterprise.
Listen to the latest episode of Neptune Talks to explore what it takes to move enterprise AI from potential to execution.
