A customer use case in finance shows how industry-focused AI capabilities can move from repetitive tasks to cross-enterprise decision support and become the basis for wider industry solutions.
Keep humans in control: systems should prepare recommendations and information while specialists review, approve, and set guardrails.
Build horizontally: a validated capability for one process (for example, ledger posting) can become a foundation to connect related processes across an industry.
September 22, 2026 A delayed delivery rarely stays in one part of a business. It can disrupt production, postpone a launch, affect a customer commitment, and change a financial forecast. SAP Business AI Platform supports people in the applications they use every day.
That is how the value of AI multiplies: insight creates clarity, and action creates impact. The same event can mean something different in manufacturing, retail, or global trading. AI assistants, agents, and intelligent applications can help analyze complex situations, bring together relevant information, and coordinate next steps.
Who needs to act and what should happen next? A change in demand can affect planning, procurement, and production. A delivery date can influence revenue forecasts and customer commitments.
We're Measuring the Wrong Thing in AI Agents Everyone seems focused on making AI agents smarter. Bigger models. Longer context windows. Better reasoning. More tools. More autonomy. Those things matter. But I think we're overlooking a different question. What happens after the AI decides to act? Imagine an AI agent with
Ask AI how to improve a factory, a clinic, a logistics company, or a retail business, and it will have plenty to say. It can list ideas, explain trends, draft plans, compare options, and make a rough proposal sound persuasive. In a few minutes, it can produce the kind of first draft that once took […] The post AI has a
AI-generated responses can be factual, interpretive, constructive or strategic, requiring users to assess them differently.
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On 27 February 2024, Klarna and OpenAI announced that its AI assistant had handled 2.3 million conversations in a month; the equivalent, Klarna said, of 700 agents, cutting resolution time from 11 minutes to under two. It was treated as a triumph. 15 months later, chief executive told Bloomberg the push had gone too fa
Business Transformation Management solutions from SAP help make AI agents work at scale.
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