[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"article-sap-business-ai-updates-how-joule-work-and-enterprise-ai-agents-redefine-digital-operations-en":3,"ArticleBody_XwpDsm2SBRdqfsDrj0NB0v50vSZ8F5B0mjoiD2hXHM":226},{"article":4,"relatedArticles":196,"locale":66},{"id":5,"title":6,"slug":7,"content":8,"htmlContent":9,"excerpt":10,"category":11,"tags":12,"metaDescription":10,"wordCount":13,"readingTime":14,"publishedAt":15,"sources":16,"sourceCoverage":58,"transparency":60,"seo":63,"language":66,"featuredImage":67,"featuredImageCredit":68,"isFreeGeneration":72,"trendSlug":73,"trendSnapshot":74,"niche":83,"geoTakeaways":86,"geoFaq":95,"entities":105},"6a5fb2f9366a05b9f721d9f7","SAP Business AI Updates: How Joule Work and Enterprise AI Agents Redefine Digital Operations","sap-business-ai-updates-how-joule-work-and-enterprise-ai-agents-redefine-digital-operations","[SAP](\u002Fentities\u002F69600eff19d266277e14fa15-sap)’s latest Business AI updates move from “chat in a sidebar” to an AI execution layer that can run work across finance, [HR](\u002Fentities\u002F69b3f086a20ecee313031f69-hr), supply chain, and more. [Joule](\u002Fentities\u002F6a5fb57e457d25046952b83e-joule) Work, Joule Assistants, and Joule Agents sit on top of SAP and non-SAP estates to turn business intent into end-to-end workflows, with claims of up to 75% gains on complex processes when fully automated. [1][2][3]\n\n💡 **Key takeaway:** The shift is from isolated copilots to a unified workspace that orchestrates agents, data, and applications around real business outcomes. [3]  \n\n---\n\n## 1. From Chat to Work: What’s New in SAP Business AI with [Joule Work](https:\u002F\u002Fen.wikipedia.org\u002Fwiki\u002FJames_Prescott_Joule)\n\nSAP Business AI is evolving from embedded, app-specific assistants to a unified workspace called Joule Work. Users state goals in business language—e.g., “reduce expedited freight spend by 15% this quarter”—and Joule coordinates agents, data, and workflows to execute. [3]\n\nJoule is SAP’s AI layer that unifies assistants and [AI agents](https:\u002F\u002Fen.wikipedia.org\u002Fwiki\u002FAI_agent) into one system that translates intent into autonomous action. It uses SAP’s process and data context to run connected workflows across finance, HR, supply chain, [customer experience](https:\u002F\u002Fen.wikipedia.org\u002Fwiki\u002FCustomer_experience), and more. [1][3]\n\n📊 **Data point:** Joule claims up to 75% reduction in time spent on multi-step workflows and up to 75% productivity gains when agents automate complex tasks. [1][2]  \n\nPractically, Joule Work provides:  \n\n- A single workspace across SAP and non-SAP systems  \n- Context-aware assistants that surface relevant agents, data, and insights  \n- Orchestrated workflows without app-switching or UI-hopping  \n\nThe experience aims to feel like working with a coordinated team of agents rather than juggling tools. [1][3]\n\nAt the same time, [large language models](https:\u002F\u002Fen.wikipedia.org\u002Fwiki\u002FLarge_language_model) are commoditizing as providers like [Anthropic](\u002Fentities\u002F695e3c6f19d266277e14dd49-anthropic) and [OpenAI](\u002Fentities\u002F695e3c6f19d266277e14dd48-openai) deliver more capable, cheaper models. [5] Differentiation is shifting to:\n\n- How enterprises adopt new models without breaking workflows  \n- How they manage governance, risk, and cost at scale [5]  \n\n⚠️ **Key point:** Joule Work is positioned as an operating surface that can absorb new models while preserving process control, governance, and economics. [3][5]  \n\n---\n\n## 2. Inside Joule Agents and Joule Assistants: How Enterprise AI Agents Actually Work\n\nJoule Agents are domain-specific AI agents encoded with more than 50 years of SAP business process expertise. They are designed to automate workflows at scale, not just answer questions. [2] Grounded in SAP’s process patterns, industry rules, and knowledge graphs, they are built to act, not only recommend. [2][4]\n\nJoule Assistants are role-based, context-aware copilots that: [2][3]  \n\n- Understand a user’s role, intent, and process state  \n- Decompose complex intent into tasks  \n- Coordinate multiple Joule Agents to run multi-step workflows  \n\n💡 **Key takeaway:** Assistants handle orchestration and conversation; agents handle specialized actions across data and applications. [2][3]  \n\nExample: the Sourcing Agent in SAP Ariba helps category managers: [2][4]  \n\n- Refine sourcing events  \n- Navigate geopolitical risks  \n- Adjust strategies as markets shift  \n\nSAP’s goal is for agents to: [4]  \n\n- Reason over business data  \n- Detect hidden operational issues (e.g., supply risk concentrations)  \n- Propose and, where allowed, execute remediation  \n- Make employees at least 30% more efficient  \n\nJoule Agents are powered by SAP Business Data Cloud for governed access to SAP and non-SAP data with business semantics preserved. [2][3][4] This creates a cross-application workflow fabric instead of brittle point-to-point automations.\n\n⚡ **Production implication:** Because agents are grounded in data and process, not prompt hacks, they are better suited to long-lived, mission-critical workflows needing traceability and consistency. [2][3][4]  \n\n---\n\n## 3. Capturing Enterprise-Scale Value: Governance, Use Cases, and Next Steps\n\nLarge enterprises focus on knowledge management, decision support, and process automation, all challenged by fragmented data. [8] Joule’s unified experience targets this by using SAP Business Data Cloud and embedded process context to create connected, trusted workflows across SAP and non-SAP estates. [3][8]\n\nRisk and governance are core. Joule includes: [1][3]  \n\n- Enterprise-grade security and compliance  \n- Central policy enforcement and data access governance  \n- Guardrails on how agents act in critical workflows  \n\nAs AI workloads diversify, CIOs need an enterprise AI control plane across models, clouds, and apps—including Joule. [5][7] A control plane:  \n\n- Centralizes policy, observability, and spend controls  \n- Links AI cost to business outcomes  \n- Prevents sprawl from disconnected agent implementations [5][7]  \n\n📊 **Data point:** Enterprises using control-plane architectures report 30–60% reductions in AI spend via visibility and optimization. [5][7]  \n\nBefore scaling Joule Agents into mission-critical processes, teams need evaluation frameworks for autonomous, multi-step workflows. [6] They should:  \n\n- Measure correctness across realistic scenarios and edge cases  \n- Stress-test reliability under varying data and process conditions  \n- Assess safety, alignment, and escalation behavior for high-stakes tasks [6]  \n\n⚠️ **Key point:** Traditional unit tests and UI-based UAT are insufficient; agentic systems require repeatable, [scenario-based evaluation](\u002Farticle\u002Fmicrosoft-agent-365-security-features-for-enterprise-grade-agentic-ai) with recorded traces and outcome scoring. [6]  \n\nA practical roadmap:  \n\n1. Identify end-to-end workflows with high manual load and latency (e.g., sourcing, order-to-cash, HR case management).  \n2. Pilot Joule Work with selected Joule Agents and Assistants on these flows. [1][2]  \n3. Instrument outcomes: time saved, errors, exceptions, user satisfaction. [6]  \n4. Integrate evaluation and observability into your AI control plane. [5][7]  \n5. Expand into an enterprise-wide AI fabric, reusing patterns and guardrails. [3][5]  \n\n---\n\n## Conclusion: Turning Joule into an AI Execution Layer, Not Just Another Chatbot\n\nSAP’s latest Business AI updates—Joule Work, Joule Agents, and Joule Assistants—shift AI from chat boxes to an execution layer running across SAP and non-SAP landscapes. [1][2][3] By embedding process expertise and trusted business data into agents, enterprises can compress workflows by up to 75%, surface hidden risks, and standardize AI-driven decisions while keeping governance intact. [1][2][4]\n\nThe differentiator is no longer which foundation model you pick, but how you operationalize agents around core processes, data, and controls. [5][7]  \n\n💼 **Next step:** Choose one or two painful, end-to-end processes where manual work and siloed systems hurt performance. Pilot Joule Work and targeted Joule Agents, define clear success metrics, implement an agent evaluation framework, and align everything with an enterprise AI control-plane strategy so early wins can scale safely. [3][5][6][7] Explore SAP’s latest Joule resources and industry scenarios to design an ambitious but governed agent roadmap. [1][3]","\u003Cp>\u003Ca href=\"\u002Fentities\u002F69600eff19d266277e14fa15-sap\">SAP\u003C\u002Fa>’s latest Business AI updates move from “chat in a sidebar” to an AI execution layer that can run work across finance, \u003Ca href=\"\u002Fentities\u002F69b3f086a20ecee313031f69-hr\">HR\u003C\u002Fa>, supply chain, and more. \u003Ca href=\"\u002Fentities\u002F6a5fb57e457d25046952b83e-joule\">Joule\u003C\u002Fa> Work, Joule Assistants, and Joule Agents sit on top of SAP and non-SAP estates to turn business intent into end-to-end workflows, with claims of up to 75% gains on complex processes when fully automated. \u003Ca href=\"#source-1\" class=\"citation-link\" title=\"View source [1]\">[1]\u003C\u002Fa>\u003Ca href=\"#source-2\" class=\"citation-link\" title=\"View source [2]\">[2]\u003C\u002Fa>\u003Ca href=\"#source-3\" class=\"citation-link\" title=\"View source [3]\">[3]\u003C\u002Fa>\u003C\u002Fp>\n\u003Cp>💡 \u003Cstrong>Key takeaway:\u003C\u002Fstrong> The shift is from isolated copilots to a unified workspace that orchestrates agents, data, and applications around real business outcomes. \u003Ca href=\"#source-3\" class=\"citation-link\" title=\"View source [3]\">[3]\u003C\u002Fa>\u003C\u002Fp>\n\u003Chr>\n\u003Ch2>1. From Chat to Work: What’s New in SAP Business AI with \u003Ca href=\"https:\u002F\u002Fen.wikipedia.org\u002Fwiki\u002FJames_Prescott_Joule\" class=\"wiki-link\" target=\"_blank\" rel=\"noopener\">Joule Work\u003C\u002Fa>\u003C\u002Fh2>\n\u003Cp>SAP Business AI is evolving from embedded, app-specific assistants to a unified workspace called Joule Work. Users state goals in business language—e.g., “reduce expedited freight spend by 15% this quarter”—and Joule coordinates agents, data, and workflows to execute. \u003Ca href=\"#source-3\" class=\"citation-link\" title=\"View source [3]\">[3]\u003C\u002Fa>\u003C\u002Fp>\n\u003Cp>Joule is SAP’s AI layer that unifies assistants and \u003Ca href=\"https:\u002F\u002Fen.wikipedia.org\u002Fwiki\u002FAI_agent\" class=\"wiki-link\" target=\"_blank\" rel=\"noopener\">AI agents\u003C\u002Fa> into one system that translates intent into autonomous action. It uses SAP’s process and data context to run connected workflows across finance, HR, supply chain, \u003Ca href=\"https:\u002F\u002Fen.wikipedia.org\u002Fwiki\u002FCustomer_experience\" class=\"wiki-link\" target=\"_blank\" rel=\"noopener\">customer experience\u003C\u002Fa>, and more. \u003Ca href=\"#source-1\" class=\"citation-link\" title=\"View source [1]\">[1]\u003C\u002Fa>\u003Ca href=\"#source-3\" class=\"citation-link\" title=\"View source [3]\">[3]\u003C\u002Fa>\u003C\u002Fp>\n\u003Cp>📊 \u003Cstrong>Data point:\u003C\u002Fstrong> Joule claims up to 75% reduction in time spent on multi-step workflows and up to 75% productivity gains when agents automate complex tasks. \u003Ca href=\"#source-1\" class=\"citation-link\" title=\"View source [1]\">[1]\u003C\u002Fa>\u003Ca href=\"#source-2\" class=\"citation-link\" title=\"View source [2]\">[2]\u003C\u002Fa>\u003C\u002Fp>\n\u003Cp>Practically, Joule Work provides:\u003C\u002Fp>\n\u003Cul>\n\u003Cli>A single workspace across SAP and non-SAP systems\u003C\u002Fli>\n\u003Cli>Context-aware assistants that surface relevant agents, data, and insights\u003C\u002Fli>\n\u003Cli>Orchestrated workflows without app-switching or UI-hopping\u003C\u002Fli>\n\u003C\u002Ful>\n\u003Cp>The experience aims to feel like working with a coordinated team of agents rather than juggling tools. \u003Ca href=\"#source-1\" class=\"citation-link\" title=\"View source [1]\">[1]\u003C\u002Fa>\u003Ca href=\"#source-3\" class=\"citation-link\" title=\"View source [3]\">[3]\u003C\u002Fa>\u003C\u002Fp>\n\u003Cp>At the same time, \u003Ca href=\"https:\u002F\u002Fen.wikipedia.org\u002Fwiki\u002FLarge_language_model\" class=\"wiki-link\" target=\"_blank\" rel=\"noopener\">large language models\u003C\u002Fa> are commoditizing as providers like \u003Ca href=\"\u002Fentities\u002F695e3c6f19d266277e14dd49-anthropic\">Anthropic\u003C\u002Fa> and \u003Ca href=\"\u002Fentities\u002F695e3c6f19d266277e14dd48-openai\">OpenAI\u003C\u002Fa> deliver more capable, cheaper models. \u003Ca href=\"#source-5\" class=\"citation-link\" title=\"View source [5]\">[5]\u003C\u002Fa> Differentiation is shifting to:\u003C\u002Fp>\n\u003Cul>\n\u003Cli>How enterprises adopt new models without breaking workflows\u003C\u002Fli>\n\u003Cli>How they manage governance, risk, and cost at scale \u003Ca href=\"#source-5\" class=\"citation-link\" title=\"View source [5]\">[5]\u003C\u002Fa>\u003C\u002Fli>\n\u003C\u002Ful>\n\u003Cp>⚠️ \u003Cstrong>Key point:\u003C\u002Fstrong> Joule Work is positioned as an operating surface that can absorb new models while preserving process control, governance, and economics. \u003Ca href=\"#source-3\" class=\"citation-link\" title=\"View source [3]\">[3]\u003C\u002Fa>\u003Ca href=\"#source-5\" class=\"citation-link\" title=\"View source [5]\">[5]\u003C\u002Fa>\u003C\u002Fp>\n\u003Chr>\n\u003Ch2>2. Inside Joule Agents and Joule Assistants: How Enterprise AI Agents Actually Work\u003C\u002Fh2>\n\u003Cp>Joule Agents are domain-specific AI agents encoded with more than 50 years of SAP business process expertise. They are designed to automate workflows at scale, not just answer questions. \u003Ca href=\"#source-2\" class=\"citation-link\" title=\"View source [2]\">[2]\u003C\u002Fa> Grounded in SAP’s process patterns, industry rules, and knowledge graphs, they are built to act, not only recommend. \u003Ca href=\"#source-2\" class=\"citation-link\" title=\"View source [2]\">[2]\u003C\u002Fa>\u003Ca href=\"#source-4\" class=\"citation-link\" title=\"View source [4]\">[4]\u003C\u002Fa>\u003C\u002Fp>\n\u003Cp>Joule Assistants are role-based, context-aware copilots that: \u003Ca href=\"#source-2\" class=\"citation-link\" title=\"View source [2]\">[2]\u003C\u002Fa>\u003Ca href=\"#source-3\" class=\"citation-link\" title=\"View source [3]\">[3]\u003C\u002Fa>\u003C\u002Fp>\n\u003Cul>\n\u003Cli>Understand a user’s role, intent, and process state\u003C\u002Fli>\n\u003Cli>Decompose complex intent into tasks\u003C\u002Fli>\n\u003Cli>Coordinate multiple Joule Agents to run multi-step workflows\u003C\u002Fli>\n\u003C\u002Ful>\n\u003Cp>💡 \u003Cstrong>Key takeaway:\u003C\u002Fstrong> Assistants handle orchestration and conversation; agents handle specialized actions across data and applications. \u003Ca href=\"#source-2\" class=\"citation-link\" title=\"View source [2]\">[2]\u003C\u002Fa>\u003Ca href=\"#source-3\" class=\"citation-link\" title=\"View source [3]\">[3]\u003C\u002Fa>\u003C\u002Fp>\n\u003Cp>Example: the Sourcing Agent in SAP Ariba helps category managers: \u003Ca href=\"#source-2\" class=\"citation-link\" title=\"View source [2]\">[2]\u003C\u002Fa>\u003Ca href=\"#source-4\" class=\"citation-link\" title=\"View source [4]\">[4]\u003C\u002Fa>\u003C\u002Fp>\n\u003Cul>\n\u003Cli>Refine sourcing events\u003C\u002Fli>\n\u003Cli>Navigate geopolitical risks\u003C\u002Fli>\n\u003Cli>Adjust strategies as markets shift\u003C\u002Fli>\n\u003C\u002Ful>\n\u003Cp>SAP’s goal is for agents to: \u003Ca href=\"#source-4\" class=\"citation-link\" title=\"View source [4]\">[4]\u003C\u002Fa>\u003C\u002Fp>\n\u003Cul>\n\u003Cli>Reason over business data\u003C\u002Fli>\n\u003Cli>Detect hidden operational issues (e.g., supply risk concentrations)\u003C\u002Fli>\n\u003Cli>Propose and, where allowed, execute remediation\u003C\u002Fli>\n\u003Cli>Make employees at least 30% more efficient\u003C\u002Fli>\n\u003C\u002Ful>\n\u003Cp>Joule Agents are powered by SAP Business Data Cloud for governed access to SAP and non-SAP data with business semantics preserved. \u003Ca href=\"#source-2\" class=\"citation-link\" title=\"View source [2]\">[2]\u003C\u002Fa>\u003Ca href=\"#source-3\" class=\"citation-link\" title=\"View source [3]\">[3]\u003C\u002Fa>\u003Ca href=\"#source-4\" class=\"citation-link\" title=\"View source [4]\">[4]\u003C\u002Fa> This creates a cross-application workflow fabric instead of brittle point-to-point automations.\u003C\u002Fp>\n\u003Cp>⚡ \u003Cstrong>Production implication:\u003C\u002Fstrong> Because agents are grounded in data and process, not prompt hacks, they are better suited to long-lived, mission-critical workflows needing traceability and consistency. \u003Ca href=\"#source-2\" class=\"citation-link\" title=\"View source [2]\">[2]\u003C\u002Fa>\u003Ca href=\"#source-3\" class=\"citation-link\" title=\"View source [3]\">[3]\u003C\u002Fa>\u003Ca href=\"#source-4\" class=\"citation-link\" title=\"View source [4]\">[4]\u003C\u002Fa>\u003C\u002Fp>\n\u003Chr>\n\u003Ch2>3. Capturing Enterprise-Scale Value: Governance, Use Cases, and Next Steps\u003C\u002Fh2>\n\u003Cp>Large enterprises focus on knowledge management, decision support, and process automation, all challenged by fragmented data. \u003Ca href=\"#source-8\" class=\"citation-link\" title=\"View source [8]\">[8]\u003C\u002Fa> Joule’s unified experience targets this by using SAP Business Data Cloud and embedded process context to create connected, trusted workflows across SAP and non-SAP estates. \u003Ca href=\"#source-3\" class=\"citation-link\" title=\"View source [3]\">[3]\u003C\u002Fa>\u003Ca href=\"#source-8\" class=\"citation-link\" title=\"View source [8]\">[8]\u003C\u002Fa>\u003C\u002Fp>\n\u003Cp>Risk and governance are core. Joule includes: \u003Ca href=\"#source-1\" class=\"citation-link\" title=\"View source [1]\">[1]\u003C\u002Fa>\u003Ca href=\"#source-3\" class=\"citation-link\" title=\"View source [3]\">[3]\u003C\u002Fa>\u003C\u002Fp>\n\u003Cul>\n\u003Cli>Enterprise-grade security and compliance\u003C\u002Fli>\n\u003Cli>Central policy enforcement and data access governance\u003C\u002Fli>\n\u003Cli>Guardrails on how agents act in critical workflows\u003C\u002Fli>\n\u003C\u002Ful>\n\u003Cp>As AI workloads diversify, CIOs need an enterprise AI control plane across models, clouds, and apps—including Joule. \u003Ca href=\"#source-5\" class=\"citation-link\" title=\"View source [5]\">[5]\u003C\u002Fa>\u003Ca href=\"#source-7\" class=\"citation-link\" title=\"View source [7]\">[7]\u003C\u002Fa> A control plane:\u003C\u002Fp>\n\u003Cul>\n\u003Cli>Centralizes policy, observability, and spend controls\u003C\u002Fli>\n\u003Cli>Links AI cost to business outcomes\u003C\u002Fli>\n\u003Cli>Prevents sprawl from disconnected agent implementations \u003Ca href=\"#source-5\" class=\"citation-link\" title=\"View source [5]\">[5]\u003C\u002Fa>\u003Ca href=\"#source-7\" class=\"citation-link\" title=\"View source [7]\">[7]\u003C\u002Fa>\u003C\u002Fli>\n\u003C\u002Ful>\n\u003Cp>📊 \u003Cstrong>Data point:\u003C\u002Fstrong> Enterprises using control-plane architectures report 30–60% reductions in AI spend via visibility and optimization. \u003Ca href=\"#source-5\" class=\"citation-link\" title=\"View source [5]\">[5]\u003C\u002Fa>\u003Ca href=\"#source-7\" class=\"citation-link\" title=\"View source [7]\">[7]\u003C\u002Fa>\u003C\u002Fp>\n\u003Cp>Before scaling Joule Agents into mission-critical processes, teams need evaluation frameworks for autonomous, multi-step workflows. \u003Ca href=\"#source-6\" class=\"citation-link\" title=\"View source [6]\">[6]\u003C\u002Fa> They should:\u003C\u002Fp>\n\u003Cul>\n\u003Cli>Measure correctness across realistic scenarios and edge cases\u003C\u002Fli>\n\u003Cli>Stress-test reliability under varying data and process conditions\u003C\u002Fli>\n\u003Cli>Assess safety, alignment, and escalation behavior for high-stakes tasks \u003Ca href=\"#source-6\" class=\"citation-link\" title=\"View source [6]\">[6]\u003C\u002Fa>\u003C\u002Fli>\n\u003C\u002Ful>\n\u003Cp>⚠️ \u003Cstrong>Key point:\u003C\u002Fstrong> Traditional unit tests and UI-based UAT are insufficient; agentic systems require repeatable, \u003Ca href=\"\u002Farticle\u002Fmicrosoft-agent-365-security-features-for-enterprise-grade-agentic-ai\" class=\"internal-link\">scenario-based evaluation\u003C\u002Fa> with recorded traces and outcome scoring. \u003Ca href=\"#source-6\" class=\"citation-link\" title=\"View source [6]\">[6]\u003C\u002Fa>\u003C\u002Fp>\n\u003Cp>A practical roadmap:\u003C\u002Fp>\n\u003Col>\n\u003Cli>Identify end-to-end workflows with high manual load and latency (e.g., sourcing, order-to-cash, HR case management).\u003C\u002Fli>\n\u003Cli>Pilot Joule Work with selected Joule Agents and Assistants on these flows. \u003Ca href=\"#source-1\" class=\"citation-link\" title=\"View source [1]\">[1]\u003C\u002Fa>\u003Ca href=\"#source-2\" class=\"citation-link\" title=\"View source [2]\">[2]\u003C\u002Fa>\u003C\u002Fli>\n\u003Cli>Instrument outcomes: time saved, errors, exceptions, user satisfaction. \u003Ca href=\"#source-6\" class=\"citation-link\" title=\"View source [6]\">[6]\u003C\u002Fa>\u003C\u002Fli>\n\u003Cli>Integrate evaluation and observability into your AI control plane. \u003Ca href=\"#source-5\" class=\"citation-link\" title=\"View source [5]\">[5]\u003C\u002Fa>\u003Ca href=\"#source-7\" class=\"citation-link\" title=\"View source [7]\">[7]\u003C\u002Fa>\u003C\u002Fli>\n\u003Cli>Expand into an enterprise-wide AI fabric, reusing patterns and guardrails. \u003Ca href=\"#source-3\" class=\"citation-link\" title=\"View source [3]\">[3]\u003C\u002Fa>\u003Ca href=\"#source-5\" class=\"citation-link\" title=\"View source [5]\">[5]\u003C\u002Fa>\u003C\u002Fli>\n\u003C\u002Fol>\n\u003Chr>\n\u003Ch2>Conclusion: Turning Joule into an AI Execution Layer, Not Just Another Chatbot\u003C\u002Fh2>\n\u003Cp>SAP’s latest Business AI updates—Joule Work, Joule Agents, and Joule Assistants—shift AI from chat boxes to an execution layer running across SAP and non-SAP landscapes. \u003Ca href=\"#source-1\" class=\"citation-link\" title=\"View source [1]\">[1]\u003C\u002Fa>\u003Ca href=\"#source-2\" class=\"citation-link\" title=\"View source [2]\">[2]\u003C\u002Fa>\u003Ca href=\"#source-3\" class=\"citation-link\" title=\"View source [3]\">[3]\u003C\u002Fa> By embedding process expertise and trusted business data into agents, enterprises can compress workflows by up to 75%, surface hidden risks, and standardize AI-driven decisions while keeping governance intact. \u003Ca href=\"#source-1\" class=\"citation-link\" title=\"View source [1]\">[1]\u003C\u002Fa>\u003Ca href=\"#source-2\" class=\"citation-link\" title=\"View source [2]\">[2]\u003C\u002Fa>\u003Ca href=\"#source-4\" class=\"citation-link\" title=\"View source [4]\">[4]\u003C\u002Fa>\u003C\u002Fp>\n\u003Cp>The differentiator is no longer which foundation model you pick, but how you operationalize agents around core processes, data, and controls. \u003Ca href=\"#source-5\" class=\"citation-link\" title=\"View source [5]\">[5]\u003C\u002Fa>\u003Ca href=\"#source-7\" class=\"citation-link\" title=\"View source [7]\">[7]\u003C\u002Fa>\u003C\u002Fp>\n\u003Cp>💼 \u003Cstrong>Next step:\u003C\u002Fstrong> Choose one or two painful, end-to-end processes where manual work and siloed systems hurt performance. Pilot Joule Work and targeted Joule Agents, define clear success metrics, implement an agent evaluation framework, and align everything with an enterprise AI control-plane strategy so early wins can scale safely. \u003Ca href=\"#source-3\" class=\"citation-link\" title=\"View source [3]\">[3]\u003C\u002Fa>\u003Ca href=\"#source-5\" class=\"citation-link\" title=\"View source [5]\">[5]\u003C\u002Fa>\u003Ca href=\"#source-6\" class=\"citation-link\" title=\"View source [6]\">[6]\u003C\u002Fa>\u003Ca href=\"#source-7\" class=\"citation-link\" title=\"View source [7]\">[7]\u003C\u002Fa> Explore SAP’s latest Joule resources and industry scenarios to design an ambitious but governed agent roadmap. \u003Ca href=\"#source-1\" class=\"citation-link\" title=\"View source [1]\">[1]\u003C\u002Fa>\u003Ca href=\"#source-3\" class=\"citation-link\" title=\"View source [3]\">[3]\u003C\u002Fa>\u003C\u002Fp>\n","SAP’s latest Business AI updates move from “chat in a sidebar” to an AI execution layer that can run work across finance, HR, supply chain, and more. Joule Work, Joule Assistants, and Joule Agents sit...","trend-radar",[],1003,5,"2026-07-21T18:10:05.488Z",[17,22,26,30,34,38,42,46,50,54],{"title":18,"url":19,"summary":20,"type":21},"What is Joule?","https:\u002F\u002Fpages.community.sap.com\u002Ftopics\u002Fjoule","Joule is an AI solution that helps teams act with clarity and collaborate without silos. With AI agents for all core functions, powered by SAP business process expertise, your AI strategy scales faste...","kb",{"title":23,"url":24,"summary":25,"type":21},"Joule Agents and Joule Assistants","https:\u002F\u002Fwww.sap.com\u002Fproducts\u002Fartificial-intelligence\u002Fai-agents.html","Accelerate outcomes with context-aware agents and assistants that know your work and your business. \n\nJoule Agents are AI agents with business process expertise that automate workflows at scale. Joule...",{"title":27,"url":28,"summary":29,"type":21},"Capture business-wide AI value with speed and confidence","https:\u002F\u002Fwww.sap.com\u002Fproducts\u002Fartificial-intelligence.html","Capture business-wide AI value with speed and confidence\n\nJoule brings assistants and agents together in a unified workspace that turns intent into autonomous action—running end-to-end workflows acros...",{"title":31,"url":32,"summary":33,"type":21},"SAP presents Joule AI Agents: An extensive portfolio of AI agents","https:\u002F\u002Fwww.techzine.eu\u002Fnews\u002Fanalytics\u002F131606\u002Fsap-presents-new-joule-ai-agents-within-the-business-suite\u002F","SAP presents an extensive portfolio of Joule Agents that automatically collaborate with people. The AI agents provide smart insights and help users, enabling organizations to operate more efficiently....",{"title":35,"url":36,"summary":37,"type":21},"Anthropic and OpenAI continue to advance frontier models at an unprecedented pace","https:\u002F\u002Fwww.linkedin.com\u002Fposts\u002Fprotikm_anthropic-and-openai-continue-to-advance-activity-7481006299917283328-MLqL","Anthropic and OpenAI continue to advance frontier models at an unprecedented pace. Model performance is rapidly becoming a commodity. The strategic challenge for CIOs is no longer selecting the \"best\"...",{"title":39,"url":40,"summary":41,"type":21},"AI Agent Evaluation Framework for Enterprises","https:\u002F\u002Fwww.linkedin.com\u002Fposts\u002Fgoura-mohanty_ibm-watsonxorchestrate-agents-activity-7401228770919235584-w23g","Goura Mohanty • 7mo Edited\n\nWhy Every Enterprise Needs a Strong Evaluation Framework for AI Agents\nAs organizations accelerate their AI adoption, one challenge consistently stands out: How do we evalu...",{"title":43,"url":44,"summary":45,"type":21},"How to manage AI investments in the agentic era","https:\u002F\u002Fopenai.com\u002Findex\u002Fmanaging-ai-investments-in-agentic-era\u002F","OpenAI’s goal is to make AI more accessible, capable and affordable over time. From GPT‑4 to GPT‑5.4, the price per million tokens fell 97%. GPT‑5.6 continues that progress, delivering better performa...",{"title":47,"url":48,"summary":49,"type":21},"Enterprise Generative AI: 11 Use Cases & Best Practices","https:\u002F\u002Faimultiple.com\u002Fenterprise-generative-ai","Generative AI (GenAI) presents novel opportunities for enterprises compared to middle-market companies or startups, including:\n- The opportunity to build your company’s models without exposing private...",{"title":51,"url":52,"summary":53,"type":21},"Azure Updates","https:\u002F\u002Fazure.microsoft.com\u002Fupdates?id=567431","Azure Updates\n\nGet the latest updates on Azure products and features to meet your cloud investment needs. Subscribe to notifications to stay informed.\n\n## Generally Available: Open AI GPT-5.6 on Azure...",{"title":55,"url":56,"summary":57,"type":21},"OpenAI and Broadcom Unveil Jalapeño AI Chip for LLM Inference","https:\u002F\u002Fopendatascience.com\u002Fopenai-and-broadcom-unveil-jalapeno-ai-chip-for-llm-inference\u002F","OpenAI and Broadcom have unveiled Jalapeño, an OpenAI-designed AI accelerator built to improve efficiency, reduce compute bottlenecks, and support large language model workloads at scale. Jalapeño foc...",{"totalSources":59},10,{"generationDuration":61,"kbQueriesCount":59,"confidenceScore":62,"sourcesCount":59},361540,100,{"metaTitle":64,"metaDescription":65},"SAP Business AI: Joule Work & Agents Transform Ops","Move beyond chat: see how Joule Work and Agents turn intent into automated workflows across finance, HR and supply chain — unlock up to 75% gains.","en","https:\u002F\u002Fimages.unsplash.com\u002Fphoto-1759752394755-1241472b589d?ixid=M3w4OTczNDl8MHwxfHNlYXJjaHwxfHxzYXAlMjBidXNpbmVzc3xlbnwxfDB8fHwxNzg0NjU2NjMzfDA&ixlib=rb-4.1.0&w=1200&h=630&fit=crop&crop=entropy&auto=format,compress&q=60",{"photographerName":69,"photographerUrl":70,"unsplashUrl":71},"Bluestonex","https:\u002F\u002Funsplash.com\u002F@bluestonex_apphaus?utm_source=coreprose&utm_medium=referral","https:\u002F\u002Funsplash.com\u002Fphotos\u002Fhands-typing-on-a-laptop-computer-screen-Es33oEXaRrE?utm_source=coreprose&utm_medium=referral",true,"sap-business-ai-updates-joule-work-and-enterprise-ai-agents",{"score":62,"type":75,"sourceCount":76,"topSourceDomains":77,"detectedAt":81,"mentionsLast7Days":82},"spiking",7,[78,79,80],"news.sap.com","cio.com","en.sedaily.com","2026-07-21T17:04:33.112Z",2,{"key":84,"name":85,"nameEn":85},"ai-engineering","AI Engineering & LLM Ops",[87,89,91,93],{"text":88},"Joule Work is a unified AI execution layer that orchestrates agents, data, and workflows across SAP and non‑SAP systems, converting business intent into end‑to‑end automation.",{"text":90},"SAP claims Joule can reduce time on multi‑step workflows and deliver up to 75% productivity gains when agents automate complex tasks.",{"text":92},"Joule Agents are built on more than 50 years of SAP process expertise and use SAP Business Data Cloud for governed cross‑application access and traceability.",{"text":94},"Enterprises using AI control‑plane architectures report 30–60% reductions in AI spend by centralizing policy, observability, and cost controls.",[96,99,102],{"question":97,"answer":98},"What is Joule Work and how does it change the user experience?","Joule Work is a single workspace that translates business goals into coordinated agent‑driven workflows across finance, HR, supply chain, and customer experience. Users state intent in plain language (for example, “reduce expedited freight spend by 15% this quarter”) and Joule decomposes that intent, surfaces relevant data and assistants, and orchestrates Joule Agents to run multi‑step processes without constant app switching. The experience is designed to replace isolated copilots with a process‑aware operating surface that preserves governance, audit trails, and business semantics via the SAP Business Data Cloud, enabling measurable time and error reductions in mission‑critical workflows.",{"question":100,"answer":101},"How do Joule Agents differ from Joule Assistants?","Joule Agents are specialized action engines grounded in SAP’s process patterns and knowledge graphs that execute domain tasks (for example, sourcing adjustments or order corrections), while Joule Assistants are role‑based copilots that understand user context, decompose high‑level intent, and coordinate multiple agents. Agents focus on reliable, repeatable actions with traceability and data governance; assistants manage orchestration, conversation, and escalation. Together they shift automation from brittle prompt‑based tasks to governed, long‑lived workflows suitable for enterprise‑scale processes.",{"question":103,"answer":104},"What governance and evaluation steps should enterprises take before scaling Joule Agents?","Enterprises must implement an AI control plane that centralizes policy, observability, and spend controls, and adopt scenario‑based evaluation frameworks that record traces and outcome scores. Begin with pilots on high‑manual, end‑to‑end workflows, measure time saved, error rates, exceptions, and user satisfaction, and stress‑test agents on edge cases and varying data conditions. Enforce central policy and data access governance, instrument audit trails for compliance, and require repeatable scenario tests (not just unit\u002FUI tests) to validate correctness, reliability, and safe escalation behavior before expanding agents into production.",[106,114,121,128,134,140,147,153,158,164,171,177,182,188,192],{"id":107,"name":108,"type":109,"confidence":110,"wikipediaUrl":111,"slug":112,"mentionCount":113},"695e3bd119d266277e14dc96","large language models","concept",0.99,"https:\u002F\u002Fen.wikipedia.org\u002Fwiki\u002FLarge_language_model","695e3bd119d266277e14dc96-large-language-models",849,{"id":115,"name":116,"type":109,"confidence":117,"wikipediaUrl":118,"slug":119,"mentionCount":120},"6984f98be28785d1e150d88d","Governance, Risk, and Compliance",0.98,"https:\u002F\u002Fen.wikipedia.org\u002Fwiki\u002FGovernance%2C_risk%2C_and_compliance","6984f98be28785d1e150d88d-governance-risk-and-compliance",14,{"id":122,"name":123,"type":109,"confidence":124,"wikipediaUrl":125,"slug":126,"mentionCount":127},"6960104419d266277e14fb13","Supply chain",0.96,"https:\u002F\u002Fen.wikipedia.org\u002Fwiki\u002FSupply_chain","6960104419d266277e14fb13-supply-chain",11,{"id":129,"name":130,"type":109,"confidence":131,"wikipediaUrl":132,"slug":133,"mentionCount":82},"69ab0aace60a42ed82399345","customer experience",0.8,"https:\u002F\u002Fen.wikipedia.org\u002Fwiki\u002FCustomer_experience","69ab0aace60a42ed82399345-customer-experience",{"id":135,"name":136,"type":109,"confidence":137,"wikipediaUrl":138,"slug":139,"mentionCount":82},"69847adee28785d1e150cd9c","enterprise AI control plane",0.9,null,"69847adee28785d1e150cd9c-enterprise-ai-control-plane",{"id":141,"name":142,"type":143,"confidence":110,"wikipediaUrl":144,"slug":145,"mentionCount":146},"695e3c6f19d266277e14dd48","OpenAI","organization","https:\u002F\u002Fen.wikipedia.org\u002Fwiki\u002FOpenAI","695e3c6f19d266277e14dd48-openai",786,{"id":148,"name":149,"type":143,"confidence":110,"wikipediaUrl":150,"slug":151,"mentionCount":152},"695e3c6f19d266277e14dd49","Anthropic","https:\u002F\u002Fen.wikipedia.org\u002Fwiki\u002FAnthropic","695e3c6f19d266277e14dd49-anthropic",462,{"id":154,"name":155,"type":143,"confidence":110,"wikipediaUrl":156,"slug":157,"mentionCount":120},"69600eff19d266277e14fa15","SAP","https:\u002F\u002Fen.wikipedia.org\u002Fwiki\u002FSAP","69600eff19d266277e14fa15-sap",{"id":159,"name":160,"type":143,"confidence":161,"wikipediaUrl":162,"slug":163,"mentionCount":14},"69b3f086a20ecee313031f69","HR",0.97,"https:\u002F\u002Fen.wikipedia.org\u002Fwiki\u002FHR","69b3f086a20ecee313031f69-hr",{"id":165,"name":166,"type":167,"confidence":168,"wikipediaUrl":138,"slug":169,"mentionCount":170},"6965b85319d266277e15349c","Finance","other",0.95,"6965b85319d266277e15349c-finance",76,{"id":172,"name":173,"type":167,"confidence":174,"wikipediaUrl":138,"slug":175,"mentionCount":176},"6a5fb629457d25046952b90e","30–60% reduction in AI spend",0.82,"6a5fb629457d25046952b90e-30-60-reduction-in-ai-spend",1,{"id":178,"name":179,"type":167,"confidence":180,"wikipediaUrl":138,"slug":181,"mentionCount":176},"6a5fb629457d25046952b90d","75% productivity gains",0.85,"6a5fb629457d25046952b90d-75-productivity-gains",{"id":183,"name":184,"type":185,"confidence":168,"wikipediaUrl":186,"slug":187,"mentionCount":14},"6a5fb57e457d25046952b83e","Joule","product","https:\u002F\u002Fen.wikipedia.org\u002Fwiki\u002FJoule","6a5fb57e457d25046952b83e-joule",{"id":189,"name":190,"type":185,"confidence":161,"wikipediaUrl":138,"slug":191,"mentionCount":82},"69e75c3c6db79d4361e2167d","SAP Business AI","69e75c3c6db79d4361e2167d-sap-business-ai",{"id":193,"name":194,"type":185,"confidence":137,"wikipediaUrl":138,"slug":195,"mentionCount":82},"6a5fb59e457d25046952b87f","SAP Business Data Cloud","6a5fb59e457d25046952b87f-sap-business-data-cloud",[197,204,211,219],{"id":198,"title":199,"slug":200,"excerpt":201,"category":11,"featuredImage":202,"publishedAt":203},"6a6457e207f0903672a88011","How NVIDIA’s Agentic and Physical AI Are Redefining Graphics and Simulation","how-nvidia-s-agentic-and-physical-ai-are-redefining-graphics-and-simulation","NVIDIA’s Vision: Agentic AI Meets Physical AI\n\n- Agentic AI:\n  - Systems that ingest diverse data, reason, plan multi‑step actions, and execute across tools\u002FAPIs, not just chat.[4]\n  - Deployed in log...","https:\u002F\u002Fimages.unsplash.com\u002Fphoto-1716967318503-05b7064afa41?ixid=M3w4OTczNDl8MHwxfHNlYXJjaHwxfHxudmlkaWElMjBhZ2VudGljJTIwcGh5c2ljYWwlMjBncmFwaGljc3xlbnwxfDB8fHwxNzg0OTYwOTkzfDA&ixlib=rb-4.1.0&w=1200&h=630&fit=crop&crop=entropy&auto=format,compress&q=60","2026-07-25T06:38:03.167Z",{"id":205,"title":206,"slug":207,"excerpt":208,"category":11,"featuredImage":209,"publishedAt":210},"6a64468f07f0903672a87e6f","AI Agent Evaluation Best Practices from Google Experts","ai-agent-evaluation-best-practices-from-google-experts","Modern AI is moving from single-shot chat to agents that plan, call tools, and run workflows across critical systems.[1][3] Evaluating them like static QA models misses whether they used the right too...","https:\u002F\u002Fimages.unsplash.com\u002Fphoto-1586282023639-dbd68e65a9fe?ixid=M3w4OTczNDl8MHwxfHNlYXJjaHwxfHxhZ2VudCUyMGV2YWx1YXRpb24lMjBiZXN0JTIwcHJhY3RpY2VzfGVufDF8MHx8fDE3ODQ5NTY1NTl8MA&ixlib=rb-4.1.0&w=1200&h=630&fit=crop&crop=entropy&auto=format,compress&q=60","2026-07-25T05:22:41.381Z",{"id":212,"title":213,"slug":214,"excerpt":215,"category":216,"featuredImage":217,"publishedAt":218},"6a59ba596d00a851d4e57463","From Booth to Boardroom: How WAIC 2026 Exhibitors Can Showcase Production-Ready AI Systems","from-booth-to-boardroom-how-waic-2026-exhibitors-can-showcase-production-ready-ai-systems","WAIC 2026 lands squarely in what Stanford HAI calls the “evaluation era,” where the questions are “how well, at what cost, and for whom?” not “can AI do this?”[9]  \n\nBuyers and regulators will arrive...","safety","https:\u002F\u002Fimages.unsplash.com\u002Fphoto-1462826303086-329426d1aef5?ixid=M3w4OTczNDl8MHwxfHNlYXJjaHwxfHxib290aCUyMGJvYXJkcm9vbSUyMHdhaWMlMjAyMDI2fGVufDF8MHx8fDE3ODQyNjU2OTR8MA&ixlib=rb-4.1.0&w=1200&h=630&fit=crop&crop=entropy&auto=format,compress&q=60","2026-07-17T05:21:33.547Z",{"id":220,"title":221,"slug":222,"excerpt":223,"category":11,"featuredImage":224,"publishedAt":225},"6a59a9c16d00a851d4e57290","Infrastructure and Supply-Chain Strain from Large Language Models","infrastructure-and-supply-chain-strain-from-large-language-models","The latest LLMs are no longer “just another cloud workload.”  \nEach new model family ramps compute, memory, and bandwidth needs, breaking old assumptions of near‑infinite elasticity.[2]\n\nGPT‑5.6 Sol m...","https:\u002F\u002Fimages.unsplash.com\u002Fphoto-1488272690691-2636704d6000?ixid=M3w4OTczNDl8MHwxfHNlYXJjaHwxfHxpbmZyYXN0cnVjdHVyZSUyMHN1cHBseSUyMGNoYWluJTIwc3RyYWlufGVufDF8MHx8fDE3ODQyNjEwNTd8MA&ixlib=rb-4.1.0&w=1200&h=630&fit=crop&crop=entropy&auto=format,compress&q=60","2026-07-17T04:10:06.930Z",["Island",227],{"key":228,"params":229,"result":231},"ArticleBody_XwpDsm2SBRdqfsDrj0NB0v50vSZ8F5B0mjoiD2hXHM",{"props":230},"{\"articleId\":\"6a5fb2f9366a05b9f721d9f7\"}",{"head":232},{}]