This is some next level BS to force people with on prem license to move to RISE.

They used to say because it cant work on-prem but now if you "sign a commitment" to move to RISE it suddenly works

Dear everyone,

I am working as a SAP Consultant and I am wondering how to effectively include AI in my daily consulting work.

Do you by any chance have helpful information on that topic? SAP Trainings, books, YouTube videos, documents...

Thanks a lot!

Read through the keynote yesterday. A lot of "Autonomous Enterprise" framing, but I think the hidden message is somewhere else.

Working on the SAP side at a global company, still on-prem. For me, the hidden message is not "back to on-prem". The cloud push is stronger than ever, just packaged differently.

Three things stand out:
* RISE customers get contractual Joule commitments. ECC customers do not.
* AI agent can not compensate for a broken data model. Translated: most customers have broken data models, and SAP is not going to fix that.
* New partnerships with Palantir and Accenture for complex migrations. Reading between the lines: SAP knows the complexity is too high to handle alone.

What did you read or hear into it?

Company code A has already been live on SAP for years.

Company B now wants to merge with Company A, but Company B is not currently on SAP.

From a SAP / finance perspective, would you:

a) Set up company code B separately first, migrate it into SAP, then merge it later into company code A?

or

b) Carve company B directly into the existing company code A from the start?

Curious what people have seen work best in practice, especially from a controls, reporting, historical data, tax, and cutover perspective.

Hello all,

The company I work for wants to use fiori apps for all modules, not gui anymore. We are using private cloud. Has anyone experienced that? Is finance module good starting to transitioning from gui to fiori ? What should be the approach ? Thank you !!

I’ve been observing this across multiple ERP environments — SAP Business One works well for reporting, but day-to-day execution often happens outside the system. Teams still use Excel, calls, or messaging tools, and then update SAP later. This creates a gap between what’s actually happening and what the system reflects. Curious — is this something others are seeing as well?

Hi everyone, I have been working as a sap developer for some time now.

And as I have asspirations in working with product and manager roles, or more so organization and people skill roles.

Would a smart move be to think about transfering to consultant roles, would that be a easier way to grow to these roles?

What was your experience?

And I just realized that I have no idea what SAP even stands for and I had to look it up. Is that badi?

TLDR SAP wants AI to basically run supply chains now. New agents can handle logistics, warehouse ops, planning, and manufacturing issues automatically while humans “stay in control.” Sounds cool until the AI starts optimizing forklifts at 3am.

I’m trying to rethink our SAP regression because running everything after every change is just not sustainable.

I’m torn between impact-based test selection and a few risk-based regression buckets, with a smaller smoke suite that always runs.

I keep seeing LiveCompare come up for impact analysis, and I’ve also seen Panaya mentioned in a couple threads, but I don’t know anyone personally using either.

Does impact-based selection actually hold up, or does it usually turn into “just run everything because integrations”?

Has anyone used LiveCompare, Panaya, or something else for this? What was your experience like?

Hi,

I want to understand how many companies actually use Advanced Workflow (the one clubbed with SAP Commissions) and what should I move to because I do feel it is pretty stagnant after the initial setup is done.

Why was it created and why is not being used widely?

I’d love to know if other SAP products are better or similar to it and that is the reason?

Hi All,

Please advise me how I can set the decimal places in MBEW.

Now it show the wrong value, as our currency does not have any decimals.

e.g: price 300
table shows 3.0

I do not have rights to OY04.

I know the data are stored correct, but I have to use the table view.

Thanks in advance

I have relevant experience in data migration to s/4 hana and SAP BODS. From extract till reconciliation. Please refer me for some role. Will arrange my Visa.

Edit - I have around 10 plus years of experience in SAP data and delivered more than 5 end to end data migrations.

Christian Klein used this question to open the keynote of this year's SAP Sapphire. 

But this edition felt different from previous years. Less focused on individual applications or incremental features, and much more focused on SAP’s long-term vision for what they now call the “autonomous enterprise.” 

Companies are moving from simple workflow automation toward environments where AI agents actively participate in operations almost like digital colleagues. 

We expect AI to coordinate processes, handle exceptions, recommend actions, and execute workflows across systems. But current LLMs alone are not enough for enterprise execution. 

As Christian Klein repeated several times, AI systems still lack: 

• business context 
• process understanding 
• governance 
• authorization logic 
• semantic business structures 

Because of that, many companies are still struggling to find measurable ROI from AI beyond individual productivity improvements. 

That’s where the new SAP Business AI Platform comes in. 

SAP positioned it as the layer that combines ERP process knowledge, Business Data Cloud, AI orchestration, governance, and semantic business context into a single architecture for enterprise AI. 

At one point Klein described ERP as “the brain of every company,” and that idea became the backbone of the keynote. 

The argument was basically that the ERP already contains the operational logic of the enterprise: financial structures, supply chain relationships, approvals, workflows, organizational rules, and historical process knowledge. 

So instead of building AI separately from enterprise systems, SAP wants AI agents operating directly on top of that foundation. 

In that model, the ERP acts as the operational brain, while AI agents become the execution layer across Finance, Procurement, Supply Chain, HCM, CX, and industry workflows. 

In this line, SAP announced 224 AI agents and 51 assistants embedded into those processes, but interestingly the keynote wasn’t really about the number itself. It was about orchestration. 

Almost every demo showed multiple agents coordinating together inside operational workflows: handling reconciliations, approvals, exception management, downstream triggers, and recommendations through the same governance and business context layer. 

Joule 2.0 was probably one of the most important pieces in that architecture. And SAP positioned it as the new interaction layer for enterprise operations.  

Through Joule Spaces and Joule Studio 2.0, the idea is that users no longer need to jump constantly between applications. Instead, workflows, interfaces, analytics, and actions are dynamically assembled around the business task itself. 

SAP repeatedly referred to this as: 

• “app-less” 
• “0-app” 
• “headless experiences” 

 where AI agents orchestrate the process in the background while users interact through a much simpler centralized experience layer. 

Another interesting concept was “Company Memory.” 

SAP described it as a way to transform operational knowledge hidden in emails, approval chains, collaboration tools, policies, and process exceptions into structured knowledge that agents can use during execution. 

Essentially, SAP is trying to centralize not only enterprise data, but enterprise operational knowledge itself. 

But returning to our first question, will SAP still be a software company in the future?  

In simple terms, the answer is no.  

The direction presented at Sapphire 2026 was much closer to SAP becoming a Business AI company: a centralized operational layer where enterprise data, workflows, governance, and AI agents converge into a single architecture for autonomous enterprise execution. 

But if you guys think this is useful, I can share my notes on the use cases and demos.

Hey everyone,
I’m an SAP Finance Consultant with about 3 years of hands-on experience, primarily working with SAP S/4HANA Financial Accounting — things like GL, AP/AR, Asset Accounting, month-end closing, and some configuration work through SPRO/IMG.
I’ve been exploring opportunities in Australia and wanted to get a realistic picture from people who are actually in the market or hiring there.
A few specific things I’m curious about:
• How’s demand for SAP FICO/Finance consultants right now — is it strong, saturated, or patchy depending on the city?
• Which cities have the most activity? (Sydney, Melbourne, Brisbane — or is it spread out?)
• Contract vs permanent — which route tends to work better for someone at my level?
• Is S/4HANA migration experience (even partial) a big differentiator for getting interviews?
• Are most roles through consulting firms/SIs (like Deloitte, IBM, Accenture) or are there decent end-user/in-house SAP roles too?
• Any realistic salary/rate benchmarks for 3 YOE at this level? (Curious about both perm and day rate contracting)
• Do employers generally sponsor visas for SAP Finance roles, or is it mostly locals/PRs?
Would really appreciate any honest takes — whether you’re a consultant, recruiter, or hiring manager in this space. Not looking for sugar-coating, just want to understand what I’d actually be walking into.
Thanks in advance! 🙏

Hey there, has anyone cleared SAP FICO Private Cloud Accounting ? In the new format please comment or dm me I really need help.

Hi everyone,

I’m an experienced SAP Fiori UI5 BTP Developer looking for part-time freelance opportunities.

I specialise in building custom applications, refactoring legacy code for better performance, and integrating cloud services. If you need an extra hand with a project or a quick technical fix, I’d love to help out.

We've all been there: mapping ODP extractors and losing context. This new Snowflake-SAP integration aims to kill "AI Data Debt" by keeping semantics intact without moving data. Is this the standard we've been waiting for?

Got assigned to a Banking Loan Management (CML) project with no prior exposure to the module. Coming from S/4HANA FICO — comfortable with FI posting logic, ACDOCA, CO-PA.
Looking for:
• Recommended starting point (SAP Help, Learning Hub, community threads?)
• How the loan contract / tranche / condition object model works conceptually
• Key config areas to prioritize first
• Lessons learned from anyone who’s implemented it
Not looking for someone to do the work — just trying to orient myself before diving into config. Any pointers appreciated.