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Black field AI isn’t sufficient: Why enterprise consulting is shifting to grounded fashions
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Black field AI isn’t sufficient: Why enterprise consulting is shifting to grounded fashions

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Last updated: December 16, 2025 11:38 pm
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Published: December 16, 2025
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Contents
The muse of SAP JouleA state-of-the-art indexing pipelineMaking certain enterprise-grade safetyPushing the boundaries of Joule for Consultants

Offered by SAP


In an period the place anybody can spin up an LLM, the actual differentiator isn’t the AI expertise itself, however the institutional data it’s grounded in. Inner and associate consultants main operational transformation can’t threat hallucinated steering when their suggestions impression built-in processes throughout provide chain, manufacturing, finance, and different core capabilities.

"Grounded AI is non-negotiable, as a result of accuracy isn’t non-obligatory after we’re doing million-dollar transformation tasks inside the SAP ecosystem, for instance," says Natalie Han, VP and chief product officer, gen AI at SAP Enterprise AI. "Retrieval-augmented technology expertise, and the flexibility to anchor responses in trusted enterprise data, helps guarantee correct code interpretation, best-practice steering, and clean-core choice help. It's how we carry actual belief into AI-powered consulting."

A completely grounded AI assistant like SAP Joule for Consultants has large worth in manufacturing use instances, she provides. SAP Joule has terabytes of institutional knowledge that's constantly curated and up to date, so a advisor is assured they're getting up-to-the-minute SAP greatest practices and methodologies when counting on Joule, whereas on the identical time accelerating venture supply.

"We’re saving rework time by 14%, and saving consultants 1.5 hours per day per person, which is large when you think about how costly consultants at the moment are," Han says. "Early adopters like Wipro have estimated they've saved 7 million hours on a guide foundation for his or her consultants."

The muse of SAP Joule

SAP Joule is as licensed as any advisor, says Sachin Kaura, chief architect, SAP Enterprise AI. The device was born in 2023, when GPTs famously handed a simulated bar examination and ignited buzz across the capability of LLMs to deal with giant quantities of context. It’s extensively acknowledged that the SAP ecosystem, together with its related area ontology and taxonomy, is extremely huge and will be very advanced to navigate. The query turned, how might an AI co-pilot be used to navigate that complexity when it was really grounded inside the SAP ecosystem itself?

Sachin Kaura started experimenting with frontier LLM fashions by placing them by way of the identical certification exams SAP consultants take. The early outcomes had been poor, however after intensive context tuning and a give attention to delivering worth to the associate ecosystem, Joule now constantly scores 95% or greater.

"Not solely had been we testing from a knowledge perspective, however we had been capable of work with all of our consultants to get what we name the golden knowledge set," Han added. "It’s non-deterministic, language-based, and completely grounded in human advisor experience. We partnered with the entire consulting group to manually label the golden knowledge set throughout all the merchandise. That’s develop into the muse for every part we do even now."

A state-of-the-art indexing pipeline

Joule for Consultants stays up-to-date in actual time. A state-of-the-art indexing pipeline pushes new SAP documentation and launch content material into the mannequin as quickly because it’s revealed, giving consultants confidence that each reply displays probably the most present steering.

"That is pure engineering work achieved by our knowledge scientists and engineers, utilizing a number of underlying SAP expertise," Kaura explains. "We leverage the SAP enterprise basis layer, doc grounding providers, and a number of purpose-built methods to remain on prime of present occasions within the system."

SAP Enterprise AI additionally has board-level alignment, guaranteeing this isn’t only a one-team effort however a company-wide precedence. They’ve constructed sturdy inside partnerships with content material homeowners throughout SAP — together with SAP Studying, SAP Group, SAP Assist, product groups, and advisor groups. Collectively, they constantly replace proprietary content material corresponding to SAP Notes, Information Base Articles (KBAs), and different domain-specific steering that displays SAP’s evolving greatest practices.

All of this implies Joule for Consultants can take that constantly refreshed knowledge and ship solutions in close to actual time. It's the type of analysis that might in any other case take a advisor hours. However data pulled straight from the supply offers consultants probably the most present and authoritative steering out there, serving to eradicate the early-stage missteps that may derail a venture months later when scoping wasn’t aligned with the most recent capabilities.

Making certain enterprise-grade safety

SAP is constructing a product that’s related, dependable, and accountable, Han says. As an organization based in Europe, it takes knowledge privateness significantly, adhering to the GDPR and different EU firm rules. On the core of SAP Enterprise AI is the AI Basis, the AI working system that governs AI with built-in safety, ethics, and orchestration, utilizing automation and intelligence to handle lifecycles, optimize assets, and increase resilience.

All of the LLMs SAP and its prospects use function inside the AI basis, which protects non-public and proprietary knowledge from being leaked. Past knowledge safety, SAP treats bias, ethics, and safety at an enterprise degree as nicely, with people within the loop to run checks and balances.

"We now have an enterprise-grade safety framework in addition to immediate injection and guardrail testing," Kaura says. "The orchestration layer, constructed inside the AI Basis, anonymizes inputs in addition to moderates them to stop malicious content material. That ensures that the output we give to our prospects is related to the SAP ecosystem, related to the area they’re asking about, and never simply generic LLM extra. This set of instruments, from the framework layer to the appliance layer to the product requirements, and in addition the very thorough testing is essential to securing our product. Then and solely then can it attain our prospects and companions."

Pushing the boundaries of Joule for Consultants

"We’re barely scratching the floor of what LLMs and agentic AI can supply," Han says. "Accessing data is only the start. We’re going to have a a lot deeper understanding of consumers’ SAP methods and be capable of assist them implement and rework their journey. The product workforce and our engineers are working to make the device extra transformative, capable of unearth extra insights, join with prospects’ methods, and perceive and optimize their processes, together with producing code and dealing with buyer code migration."

The subsequent step is including a second layer of grounding. SAP’s buyer base is huge, and its associate ecosystem has carried out numerous enterprise eventualities. Grounding Joule in SAP’s institutional data was the primary milestone; the subsequent is layering in every buyer’s personal proprietary context — historic system knowledge, course of designs, implementation blueprints, and inside documentation. This turns Joule from SAP-aware to customer-aware, delivering steering that aligns with how a enterprise really operates.

“Consider it as grounding your data on prime of SAP data — providing you with extra correct and related steering,” Kaura says. “Info which may in any other case be misplaced can sit on prime of Joule for Consultants. Our system processes it and ensures it involves you in the proper method and on the proper time.”

This expanded grounding additionally lets Joule modify its steering to the advisor’s position — whether or not they’re working as an architect, a purposeful advisor, or a technical advisor.

"We ship the data they want for a specific buyer configuration," Han explains. "Then we can’t solely reply generic questions, however we are able to reply their specific configuration. From there it’s one step forward to producing extra insights and taking extra actions."


Sponsored articles are content material produced by an organization that’s both paying for the submit or has a enterprise relationship with VentureBeat, and so they’re at all times clearly marked. For extra data, contact gross sales@venturebeat.com.

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