As SAP consultants, we all face moments where we get stuck, an obscure configuration setting, an unexpected dump, a missing table, or a tricky authorisation scenario. Naturally, many of us turn to conversational AI tools for quick guidance. But if you’ve ever asked an LLM about an SAP t-code or table and received something that simply doesn’t exist, you’re not alone.
So which AI tools actually work for SAP consultants? Which ones are other consultants using successfully? And why do some tools hallucinate more than others?
To answer these questions, we gathered insights from the SAP community discussion on Reddit and distilled the most trustworthy AI options available today.
1. SAP Joule: The Most Reliable Source for SAP-Official Responses
SAP Joule is SAP’s own conversational AI, designed to provide expert guidance using SAP’s official and most up-to-date documentation, learning content, and product knowledge.
Consultants who have used Joule report that answers are significantly more reliable than generic LLMs. It provides responses grounded in SAP’s own content, which drastically reduces the risk of hallucinated tables, nonexistent Fiori apps, or incorrect IMG paths.
Where it excels
- Clarifying SAP S/4HANA Cloud best practices
- Guidance on standard processes and configuration
- Referencing SAP Notes and official documentation
Limitations
Joule works best for customers running mostly standard. If your system is heavily customised, Joule may struggle because it cannot see your custom objects, Z-tables, or extensions.
2. Google Gemini 3 Pro: Strong General Reasoning + High Accuracy
Among general-purpose LLMs, Gemini 3 Pro stands out for technical accuracy—especially when used with well-structured prompts. Many consultants report that Gemini tends to hallucinate less when dealing with structured enterprise content. The model provides source links, which allow you to verify the information quickly.
Recent improvements
Previously, consultants had to enable Deep Research mode for reliable output. With Gemini 3 Pro, the base model already delivers strong accuracy without the slower research mode.
Example
A Basis consultant working on ICM configuration reported Gemini returned the correct parameters, traced them to official SAP web resources, and provided relevant kernel documentation links, all without prompting.
3. Building Your Own AI Agents: Accuracy Through Custom Context
Several organisations now build internal AI agents trained on their own SAP documentation, functional specs, architecture diagrams, and development guidelines. Hallucinations happen when an AI tries to guess. By giving it your own documentation, you’re replacing guesswork with facts.
Use cases
- Uploading custom Z-table catalogues so your AI stops inventing tables
- Training it on internal naming conventions and development standards
- Restricting it to use only your organisation’s SAP documentation
Example
One consultant shared that at their company, AI agents trained with their internal process documentation can now answer custom-specific questions like:
“Where does our ZSD_PRICING_CALC program retrieve plant-specific surcharges?”
Something no public LLM could answer accurately.
4. Claude.ai: Excellent for Code, Extensions, and Technical Writing
Claude is gaining traction among ABAP developers, Fiori/UI5 developers, and integration consultants.
Strengths
- Excellent for refactoring ABAP
- Strong at generating clean code, including CDS Views, RAP handlers, and CAP services
- Very good for functional-technical documentation
Example
A developer reported that Claude correctly optimised an ABAP SELECT with proper buffering strategies and index considerations—something ChatGPT often mishandled.
Claude still requires careful review, but for code analysis and rewriting, it is one of the strongest LLMs on the market.
5. ChatGPT Plus (with SAP-Focused Custom GPTs like SAP Expert)
ChatGPT can be effective for SAP consultants, but only when configured correctly. Consultants consistently highlight accuracy in the 70%–90% range, depending on:
- prompt clarity
- domain specificity
- version information provided
- restrictions placed on the LLM
How to make ChatGPT reliable
Consultants recommend setting very clear constraints—especially:
Only use verified official SAP documentation and cite all sources. Do not invent t-codes, tables, or configuration paths.
Example prompt that works well
Here is a prompt pattern consultants reported success with:
Act as an SAP B1 Consultant who specialises in macro generation and SQL queries.
Use only standard SAP B1 table names and structures.
Base all answers strictly on official SAP documentation.
Cite all sources with links.
My system is SAP B1 v10.X on SQL.
This dramatically reduces hallucinations and makes ChatGPT much more dependable.
Conclusion: AI Won’t Replace SAP Expertise, It Amplifies It
The conversation around AI often focuses on automation and replacement. But in SAP consulting, AI’s value lies elsewhere:
AI accelerates your work; it doesn’t replace your judgment.
- AI can summarise notes, explain API behaviour, or propose ABAP optimisations.
- AI cannot read project politics, stakeholder dynamics, or the nuances of a steering committee discussion.
- AI helps interpret requirements; it doesn’t replace the experience needed to design the right solution.
Every SAP system is unique. No AI tool will perfectly understand your custom landscape. That is why your expertise, combined with SAP Notes, SAP Help Portal, SAP Learning, SAP Community, Reddit’s r/SAP, and LinkedIn SAP groups, remains irreplaceable.
Use AI as an assistant, not an authority. The future belongs to consultants who can combine their SAP knowledge with the productivity boost that AI provides.
