SAP already knows how your business runs. The real question is how much of that knowledge reaches the people, and now the AI agents, who do the work.

Walk onto a warehouse floor, a maintenance yard or a production line at shift change. You will see two versions of the same business. One lives in SAP: clean master data, defined processes, approvals and controls refined over many years. The other lives on clipboards, in spreadsheets, in email threads and in the heads of experienced colleagues who know which screen to skip and who to call when something breaks.

The distance between those two versions has a name. We call it the SAP execution gap.

What the Execution Gap Is.

SAP manages the processes organizations depend on every day, and does that exceptionally well. The business logic already exists: pricing rules, approval chains, maintenance strategies, inventory rules. What is often missing are the Business Applications, orchestrated processes and AI agents that turn that logic into work. On the shop floor, in the office and in the field. On any device, connected or not.

Enterprise systems manage processes and protect data. They were not built for the way people, and now AI, actually work. The execution gap is the distance between what SAP manages and how the work gets done.

In the SAP organizations we work with, the pattern repeats: only 1 in 5 SAP users works in SAP [source to confirm]. The other four work around it. Warehouse operators, technicians and inspectors stay on paper, spreadsheets and generic transactions. The data reaches SAP late, or not at all.

Why the Gap Matters More Now.

The execution gap has always cost time. Now it also decides the return on AI. Gartner named agentic AI the top strategic technology trend for 2025. It predicts that by 2028, at least 15% of day-to-day work decisions will be made autonomously through agentic AI, up from 0% in 2024 (Gartner, Top 10 Strategic Technology Trends for 2025, October 2024).

But an agent can only act on what it can see. When work happens off the system, there is nothing for it to act on. And the logic that makes a business different usually sits in custom code: 95% of SAP organizations build and run custom ABAP code to extend SAP (ASUG and smartShift, 2024). An agent that only reaches standard processes misses the part that matters most.

So the gap now shows up in three places at once:

• Operations. People work around the system instead of in it. Tasks take longer and data arrives late.
• Transformation. Improvements wait for the S/4HANA program to finish. The business stands still while IT moves.
• AI. Assistants recommend, but people still execute by hand. Pilots stall before they reach production.

From System of Record to System of Work.

SAP is the System of Record. It manages and governs the processes your business runs on. Closing the execution gap does not mean working around SAP. It means adding the layer that turns what SAP records into work.

We call that layer the System of Work for the Connected Enterprise. It is made of three parts, used by people, partners and agents alike, native on SAP and connected across the enterprise:

• Business Applications. Role-specific applications that fit the job, on every device, online or offline, built on the SAP logic you already have.
• Process Orchestration. Multi-step processes, approvals, exceptions and handoffs between people, systems and AI agents. Designed, automated and governed across SAP and connected systems.
• AI Agents. Built into applications and processes, not bolted on beside them. They carry out steps on the user’s behalf under your existing SAP governance.

Work rarely stops at the edge of SAP. An inspection touches a sensor. A purchase touches a supplier. A maintenance order touches a contractor. The System of Work follows the work, and Neptune DXP is the platform that delivers it.

How Customers Close the Gap.

The organizations that close the gap fastest don’t start with a platform decision. They start with one process where work slows down, and they fix it.

1. Start with the work, not the technology. Pick one process where the gap is visible: a count, an inspection, an approval.
2. Prove the outcome. Put a working Business Application in the hands of the people who do the work. Measure what changes.
3. Scale from there. Reuse what you built (the same application model, SAP logic and governance) on the next process and the next site.

Johnson & Johnson tested an inventory management proof of concept with a small user group. It then scaled to 16 sites and 130,000 users, and cut SAP supply chain processing time by 40%. Asia Express Food took its first warehouse application from idea to production in four days on SAP ECC. When it moves to S/4HANA as planned, the application stays as it is.

The Metrics That Show the Gap Is Closing.

The execution gap can be measured. Six outcome areas cover most business cases, and every post in this series maps back to them.

Outcome area	KPIs to baseline
Increase workforce productivity	Task completion time · Transactions per employee per hour · Manual administration time
Reduce operational costs	Cost per transaction · Labor hours per process · Cost of rework
Improve accuracy and process quality	Transaction error rate · First-time-right rate · Rework rate
Accelerate business process execution	End-to-end process cycle time · Process throughput · SLA achievement
Increase operational responsiveness	Exception resolution time · Time from event to action · On-time task completion
Improve workforce adoption and effectiveness	Application adoption rate · Task success rate · Time to proficiency

12 Ways Workers Experience the Execution Gap.

The gap rarely shows up as a strategy problem. Workers feel it as small, daily friction. In the next 12 posts, we take each one in turn: the problem, a practical example, the impact, how Neptune closes it, the metrics it moves and how to build the business case. They fall into four themes, each with one question worth asking your own teams.

Theme	How workers experience it	The question to ask
Friction in the interface	1. Too many screens and clicks · 2. Repetitive manual data entry · 4. Applications don’t fit the job	How many screens does it take to complete your most common SAP task?
Broken flow between teams	3. Information scattered across systems · 7. Manual handoffs and approvals · 12. Processes span multiple systems	Where does work wait longest between teams, and who chases it?
Work away from the system	5. Work happens away from a desk · 6. No connectivity when work needs to happen · 9. Shadow processes and tools	What do your field teams do when they can’t get into SAP?
Work the system could do	8. Exceptions require workarounds · 10. Repetitive tasks that could be automated · 11. Decisions lack timely context	Which routine checks or decisions do people still make by hand?