SAP Business AI et Joule

Présentation de la solution

La préparation à l'IA commence par l'environnement métier qui la porte

SAP intègre désormais l'IA au cœur des applications que vous utilisez déjà — synthèse en finance, recommandations aux achats, tâches guidées en RH, et Joule au-dessus de l'ensemble. Mais disponibilité ne vaut pas maturité. La capacité arrive ; son utilité, sa sûreté et la confiance qu'elle inspire dépendent entièrement de l'environnement qui la porte.

Cet environnement, ce sont les processus, les données, les accès et le jugement. Les processus doivent être assez homogènes pour être outillés et assez clairement pilotés pour évoluer. Les données doivent être trouvables, à jour et gouvernées. Les agents ont besoin de voies d'accès autorisées vers les systèmes sur lesquels ils agissent. Et les utilisateurs doivent savoir quand se fier à une réponse, quand la vérifier et quand la contredire.

Cas d'usageProcessusDonnées métierJouleAgentsGouvernance
La préparation, en une phrase

SAP Business AI, Joule, les assistants, les agents, les données métier et les capacités de la plateforme forment un environnement connecté — et c'est le travail de préparation qui décide s'il produit de la valeur métier ou un pilote de plus qui ne passera jamais à l'échelle.

Explorer les capacités
Ce que la préparation permet

Ce que permet la préparation à SAP Business AI et Joule

Huit résultats, énoncés avant tout nom de produit. Chacun est une condition que l'entreprise acquiert une fois en place l'environnement sous-jacent à SAP Business AI — et non une fonctionnalité à activer.

Un portefeuille de cas d'usage IA priorisé

7 capacités
  • Identifier les problèmes métier pertinents
  • Distinguer les opportunités à forte valeur des idées génériques
  • Évaluer la maturité des processus et des données
  • Définir les utilisateurs cibles
  • Estimer l'impact opérationnel
  • Identifier les risques et les dépendances
  • Prioriser les pilotes et l'adoption par étapes

Une adoption de l'IA guidée par les processus

6 capacités
  • Cartographier le processus de bout en bout
  • Identifier les décisions, les exceptions et les points de transfert
  • Distinguer l'automatisation déterministe du travail assisté par l'IA
  • Clarifier la responsabilité des processus
  • Définir où l'IA assiste, recommande ou agit
  • Conserver la maîtrise des décisions critiques

Un contexte métier de confiance

7 capacités
  • Identifier les données métier nécessaires
  • Clarifier les systèmes de référence
  • Améliorer la qualité des données
  • Établir des définitions métier
  • Cartographier les entités et leurs relations
  • Appliquer un accès aux données fondé sur les rôles
  • Permettre l'ancrage sémantique

L'IA embarquée dans les applications SAP

5 capacités
  • Utiliser les capacités d'IA au sein des processus métier existants
  • Réduire les changements de contexte
  • Accompagner les utilisateurs de la finance, des achats, des RH, de la supply chain, de l'expérience client et d'autres fonctions
  • Aligner l'adoption de l'IA sur vos applications SAP et vos rôles actuels
  • Évaluer la disponibilité et les licences avant activation

Le travail assisté par Joule

6 capacités
  • Accès conversationnel à l'information
  • Exécution guidée des tâches
  • Appui analytique
  • Assistance adaptée au rôle
  • Interaction inter-applications
  • Accès utilisateur aux skills, aux assistants et aux agents

Des workflows agentiques gouvernés

7 capacités
  • Connecter les agents IA aux systèmes et outils approuvés
  • Définir les actions autorisées
  • Appliquer l'identité et les habilitations
  • Exiger une validation lorsque nécessaire
  • Surveiller le comportement des agents
  • Tracer les décisions et les actions
  • Gérer les exceptions et les scénarios d'échec

Des capacités d'IA sur mesure

6 capacités
  • Créer des skills Joule spécifiques à votre organisation
  • Créer des agents personnalisés
  • Étendre les applications SAP avec l'IA
  • Créer des workflows assistés par l'IA
  • Connecter les systèmes SAP et non-SAP
  • Exploiter une IA sur mesure dans le cadre des contrôles de l'entreprise

Une gouvernance responsable de l'IA

9 capacités
  • Politique IA
  • Validation des cas d'usage
  • Classification des risques
  • Revue confidentialité et sécurité
  • Supervision humaine
  • Transparency
  • Responsabilité
  • Auditabilité
  • Propriété du cycle de vie
Capacités couvertes

SAP Business AI, Joule et les capacités de préparation de l'entreprise

01

SAP Business AI embarqué

Domaines métier concernés
FinanceAchatsSupply chainIndustrie manufacturièreRessources humainesPaieVentesServiceEngagement clientAnalytique et planificationDéveloppement applicatif
Périmètre des capacités
  • Information retrieval
  • Summarization
  • Recommendations
  • Content generation
  • Classification
  • Prediction
  • Exception identification
  • Workflow guidance
  • Decision support
  • Task automation

These are capabilities embedded within SAP applications rather than a separate product to buy. Availability differs by application and release, so licensing and prerequisites are checked before anything is activated.

02

Joule Conversational and Analytical Assistance

Readiness considerations
Data accessUser permissionsBusiness terminologyApplication availabilityIntended user rolesResponse validationUser trainingEscalation paths
Capability scope
  • Natural-language interaction
  • Information retrieval
  • Navigation
  • Task guidance
  • Business-data questions
  • Analytical insight
  • Summarization
  • Recommendations
  • Transaction initiation
  • Cross-application interaction

SAP currently provides Joule capabilities ranging from conversational navigation and task support to tailored analytical insight and business-process interaction.

03

Joule Skills

Best-fit situations
Well-defined tasksClear inputs and outputsStable rulesControlled system actionsFrequent user requestsReusable operations
Capability scope
  • Retrieve specific business information
  • Execute a defined transaction
  • Trigger a repeatable action
  • Support high-frequency user tasks
  • Reuse approved operations
  • Provide predictable workflow behaviour
04

Joule Agents

Readiness requirements
Clear objectiveApproved tool accessTrusted dataProcess contextIdentityPermissionsFailure handlingHuman reviewSupervisionPerformance evaluation
Capability scope
  • Analyse complex information
  • Plan multiple steps
  • Select relevant tools
  • Coordinate actions
  • Work across systems
  • Handle changing workflow paths
  • Make recommendations
  • Support exception resolution
  • Execute approved actions
  • Reflect on results
05

Joule Assistants

Capability scope
  • Role-aware interaction
  • Process-aware coordination
  • Coordination of multiple agents
  • Cross-functional workflow support
  • Intent-to-action orchestration
  • User-facing guidance
  • Escalation and decision support
06

Joule Studio

Best-fit situations
Organization-specific processesBusiness requirements not covered by standard agentsCross-system workflowsCustom user experiencesSpecialized decision supportControlled agent actionReusable internal AI capabilities
Capability scope
  • Custom Joule skills
  • Custom AI agents
  • AI-supported applications
  • Agentic workflows
  • Low-code development
  • Pro-code development
  • Managed runtime
  • Testing and deployment
  • Identity and access
  • Monitoring and observability
  • Lifecycle management
  • SAP and non-SAP connectivity

SAP positions Joule Studio as a managed environment for building, deploying, and governing custom agents, applications, skills, and workflows across SAP and third-party environments.

07

Business Data and Semantic Grounding

Relevant products

SAP Business Data CloudSAP Knowledge Graph

Relevant capabilities
  • Business data products
  • Semantic models
  • Master data
  • Business metadata
  • Application context
  • Process context
  • User and role context
  • SAP and non-SAP information
Readiness scope
Identify systems of recordDefine data ownershipImprove data qualityAlign business definitionsEstablish lineageControl accessDefine retentionMap entity relationshipsValidate the context supplied to AIHandle unstructured documents
08

Process and Integration Readiness

Connected products

SAP Integration SuiteAPI ManagementEvent MeshGoverned MCP serversSAP Build Process AutomationSAP and non-SAP applications

Capability scope
  • End-to-end process mapping
  • System and tool inventory
  • API readiness
  • Event readiness
  • Workflow readiness
  • Transaction boundaries
  • Integration monitoring
  • System-of-record clarity
  • Agent action design
  • Error handling
  • Escalation
  • Manual fallback

This is the layer that decides what an agent is actually allowed to do. Without governed APIs, events and transaction boundaries, an agent has either no reach or too much of it.

Consulting & implementation role

VISCAP’s role across SAP Business AI and Joule readiness

01

AI opportunity and readiness assessment

Establish what the business actually needs from AI, what your SAP estate already makes available, and what has to be true before any of it is switched on.

  • Business-priority review
  • Process and application landscape
  • Existing AI initiatives
  • Joule and embedded-AI availability
  • Data readiness
  • Integration readiness
  • Governance maturity
  • Adoption readiness
  • Readiness roadmap
02

Use-case discovery and prioritization

Turn a long list of AI ideas into a short list of pilots worth funding — each with a named user, a measurable outcome and a known risk profile.

  • Business-problem definition
  • User and process identification
  • Value and feasibility assessment
  • Risk and control assessment
  • Embedded-versus-custom decision
  • Skill-versus-agent decision
  • Pilot selection
  • Success criteria
03

Process and operating-model design

Decide where AI assists, where it recommends and where it acts — and who owns the decision when it does.

  • End-to-end process mapping
  • AI interaction points
  • Decision ownership
  • Exception handling
  • Human approval
  • Escalation
  • AI service ownership
  • Support responsibilities
  • Business and IT collaboration
04

Data and context readiness

Get the data, definitions and permissions into the state grounding requires, so an answer can be traced back to a system of record.

  • Source-system identification
  • Data-quality review
  • Master-data considerations
  • Business definitions
  • Access and permissions
  • Semantic context
  • Document readiness
  • Knowledge and data ownership
05

Joule and embedded-AI enablement

Identify what your releases and licences actually give you, then prepare the roles, access and configuration needed to use it.

  • Relevant capability identification
  • Product and release validation
  • Licensing and prerequisite review
  • Role and access preparation
  • Configuration support
  • User validation
  • Adoption preparation
  • Usage monitoring
06

Custom skills and agent readiness

Where standard does not reach, define the custom skills and agents — their tool access, their tests, and the criteria that let them into production.

  • Custom use-case definition
  • Joule skill assessment
  • Agent architecture
  • Tool and system access
  • Joule Studio considerations
  • Workflow and integration requirements
  • Testing
  • Observability
  • Production-readiness criteria
07

Integration and action enablement

Give agents governed routes into SAP and non-SAP systems — APIs, events, identity, transaction controls and a defined failure path.

  • API and event requirements
  • System-of-record connection
  • Agent-tool access
  • MCP-server considerations
  • Identity and authorization
  • Transaction controls
  • Failure handling
  • Supervision
08

Responsible-AI governance

Put the policy, approval model and oversight in place so every AI use case is classified, reviewed and accountable across its lifecycle.

  • Use-case governance
  • Risk classification
  • Approval model
  • Security and privacy review
  • Human oversight
  • Accountability
  • Monitoring and review
  • Incident handling
  • Lifecycle governance
09

Pilot, adoption and scaling

Run the pilot against a baseline, prove the business value, then scale what worked with the governance already attached to it.

  • Pilot design
  • Baseline measurement
  • User testing
  • Feedback
  • Business-value validation
  • Change and training
  • Production transition
  • Reusable governance
  • Cross-functional scaling
  • Continuous improvement
VISCAP IP · AI Readiness & Impact Assessment

VISCAP | COMPASS — find out where AI unlocks value, in a single session

Our proprietary assessment framework for SAP enterprise customers — a structured expert dialogue rather than a checkbox survey, scored live against your actual SAP estate, with a prioritised three-horizon activation roadmap delivered the same session.

74%of AI projects never scale beyond pilot
$4.4Tin AI value remains uncaptured in enterprise
12%of SAP customers have activated embedded AI
Book a complimentary COMPASS session Complimentary for SAP enterprise customers · results delivered same session
Four readiness tiers. One honest verdict.
Explorer0–40
Operator41–65
Scaler66–85
Transformer86–100

Scored live across five dimensions — business pulse, process & operations, data & integration, ERP landscape, and organisational readiness.

Connected VISCAP services

Services supporting your SAP Business AI journey

Business AI readiness is never only an AI project — most of the work sits in the process, data and integration around it. These eight VISCAP service lines cover that work end to end.

01

SAP Consulting & Advisory Services

Assess business priorities, AI opportunities, process readiness, governance maturity, and the roadmap for SAP Business AI and Joule adoption.

Explore 02

SAP Implementation & Rollout Services

Enable relevant embedded AI and Joule capabilities within wider SAP implementations, expansions, and business rollouts.

Explore 03

SAP Migration & Modernization Services

Modernize application, process, data, and integration environments that limit the adoption of SAP Business AI.

Explore 04

SAP Integration Services

Connect AI agents and Joule capabilities with SAP, third-party applications, APIs, events, workflows, and approved enterprise actions.

Explore 05

SAP Data, Reporting & Analytics Services

Improve the data, business definitions, reporting, semantic context, and governance required for grounded AI and decision support.

Explore 06

SAP Application Management Services

Support ongoing AI-capability activation, releases, monitoring, issue management, access control, and continuous improvement.

Explore 07

SAP Support & Optimization Services

Resolve adoption and configuration issues, refine AI-supported workflows, and improve usage, controls, and business relevance.

Explore 08

SAP Training & Change Enablement Services

Prepare users, managers, process owners, administrators, and governance teams to use SAP AI responsibly and effectively.

Explore

Scroll for all eight service lines

Secteurs

Industrie manufacturière

Production and maintenance insights, procurement and supplier decisions, quality exceptions

Inventory and supply-chain support, workforce skills, agent access to operational systems

Voir le secteur

FMCG

Demand and supply decisions, customer and campaign insight, order and inventory exceptions

Distributor and retailer processes, sales guidance, high-volume data and integration

Voir le secteur

Pharmacie

Controlled document review, supply and manufacturing insight, procurement

Workforce processes, data access, traceability, human approval and governance

Voir le secteur

Chimie

Plant and maintenance processes, procurement and supplier information, product and inventory decisions

Quality and operational exceptions, safety-related process governance, data and system access controls

Voir le secteur

Services professionnels

Project setup, resource and skills matching, knowledge access, proposal support

Financial analysis, workforce development, customer insight, document-intensive workflows

Voir le secteur

Ingénierie, construction et projets

Tender and document analysis, project setup, cost and schedule insight

Procurement, resource coordination, risk and exception support, approval-heavy workflows

Voir le secteur
Étude de cas

Cinq modules restructurés pour Cloud4C Services

Une refonte du paysage avec IAS/IPS, authentification unique (SSO) et Story Reports — 88 % d'automatisation des processus RH sur l'ensemble de l'environnement.
Étude de cas

Des offres plus nettes, des recrutements plus rapides chez Alembic Pharmaceuticals

Préparation des offres CTC automatisée et logique des annexes recentrée — 85 % d'automatisation du processus d'offre sur un effectif de 17,000+ personnes.
Perspective

SAP Business Data Cloud, Datasphere et Analytics Cloud : qui fait quoi

Trois produits, des noms qui se recoupent et beaucoup de confusion sur celui qui porte la couche sémantique. Une lecture simple de la place de chacun.
Perspective

Clean Core : étendre S/4HANA sans bloquer les montées de version

Où loger la logique d'extension quand le cœur devient intouchable, et ce que le side-by-side sur SAP BTP coûte réellement à l'exploitation.

Frequently asked questions

SAP Business AI is the AI SAP builds into its own applications rather than sells alongside them — retrieval, summarization, recommendations, classification, prediction, exception identification and task automation appearing inside standard finance, procurement, supply chain, HR, sales and service processes. Because it runs on live application data, it acts on business context rather than on an extract.

Joule is SAP’s assistant layer across those applications. It covers natural-language interaction, information retrieval, navigation, task guidance, business-data questions, analytical insight and cross-application interaction — and it is also the user-facing route to Joule skills, assistants and agents.

SAP positions SAP Business AI Platform as the foundation that brings business data, process context, AI capability and governance together. In practice it is the layer where model access, grounding and oversight are decided centrally, instead of being settled application by application.

Yes. Joule Studio is SAP’s managed environment for building custom Joule skills, custom agents, AI-supported applications and agentic workflows — low-code or pro-code — with identity, testing, deployment, monitoring and lifecycle management around them. It fits organization-specific processes and cross-system workflows that standard agents do not cover.

Together with SAP Knowledge Graph it supplies the business data products, semantic models and entity relationships that AI reads as context. That is what separates a grounded answer from a plausible one — the response can be traced to a system of record and to a business definition your organization agrees on.

Enough to answer the question and to defend the answer: the systems of record, master data, agreed business definitions, entity relationships, and the role-based access rules that decide who may see what. Data quality, lineage, retention and unstructured documents all matter here — an agent inherits the state of the data it is given.

Through governed integration rather than direct access. APIs and events published through SAP Integration Suite, API Management and Event Mesh — increasingly alongside governed MCP servers — give agents a permissioned route to real-time information and approved actions, with identity, transaction boundaries, monitoring and a defined failure path around each one.

For anything material, yes — and that is a design decision, not a limitation. Readiness work defines which actions an agent may take alone, which need approval, who approves them, and what happens when a step fails. Agent behaviour is monitored and decisions are recorded, so the trail exists afterwards.

Against a baseline measured before it started. A pilot needs a named user group, a defined business problem, success criteria agreed up front, and an honest view of process and data readiness. Then it is user testing, feedback, business-value validation and a production-transition decision — with governance already attached, so scaling does not restart the approval work.

We establish the conditions first: an AI opportunity and readiness assessment, a prioritized use-case portfolio, process and operating-model design, and data and context readiness. Then enablement of Joule and embedded AI, custom skills and agents where standard does not reach, integration and action enablement, responsible-AI governance, and support from pilot through to scale.

Start with a consultation. We review your SAP landscape, the processes under pressure, the data behind them and the governance you already have — then set out which AI use cases are realistic now, which need readiness work first, and what each would actually involve.

Contactez-nous

Speak with VISCAP’s SAP consulting team about your AI use cases, your current landscape, and what readiness would involve.

Réserver une consultation

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