Most enterprise AI conversations start at the top of the stack: agents, copilots, use cases. But the organisations actually creating value are focusing somewhere else. At Agentforce World Tour in Utrecht this week, that showed up repeatedly. The real work is happening below the AI layer.
One example of that pattern was E.ON One. They moved from fragmented sales data and manual pricing to a unified quote-to-cash platform in under four months. Not a pilot or a concept, but a working commercial foundation with integrated pricing, consistent data, and real-time visibility into TCV, MRR, CLTV and margin.
Built on Salesforce Revenue Cloud and fully integrated with SAP invoicing, it supports complex subscription and hybrid revenue models. This is a foundation that agents can actually operate on.
The room was full because enterprise leaders recognise that story. They are not chasing AI capability. They are trying to understand what needs to exist underneath it. This is what AI readiness looks like in practice.
This is not just an implementation story. It reflects a broader pattern in enterprise systems. Economic value does not accumulate where innovation happens; it accumulates where systems are stable, governed, and deeply integrated. That is the idea behind the Value Gravity Model.
These are the layers with the highest switching costs, the deepest integration, and the strongest control over context. That is where value accumulates.
At one point during the session, the Agentforce Revenue Management architecture appeared on screen: catalog, CPQ, contracts, orders, assets, billing, with agent capabilities running across all of it. Clean, modern, and impressive in scope.
But the most interesting part was at the bottom, labelled by Salesforce as the “Data & trust layer.”
Not infrastructure. Not integration. Data and trust. That choice of language matters. Trust is not a technical property; it is an earned condition. It implies that data is governed, context is reliable, and decisions can be explained. You cannot configure trust. You have to build toward it. What Salesforce labelled here is effectively the foundation layer of the stack. Not just where data lives, but where decisions become defensible.
The organisations moving fastest are not starting with AI capability. They are making the foundation usable first. Once that layer is in place, orchestration becomes simpler, AI becomes more reliable, and value becomes measurable.
Most organisations underestimate how quickly this layer can move when it is treated as a priority.
Different ecosystem, same gravitational logic.
Learn more about the Value Gravity Model or the Value Gravity Scan.