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Agents & workflows04 Nov 2026 · 2 min

AI agents in the enterprise: who scales, who fails

AI · not reviewedWritten with AI from the sources listed, not yet editorially reviewed.

Large companies are deploying agents more broadly, smaller ones barely — and analysts expect many projects to fail on cost and unclear value.

The essentials in five points

  1. According to McKinsey, 40% of large companies (USD 1 billion+ revenue) are scaling AI agents in 2026, up from 27% a year earlier; among smaller ones, the share is unchanged at 22%.
  2. Companies most often scale agents in IT, knowledge management and software engineering; 37% of respondents attribute at least some EBIT impact to AI overall.
  3. In Germany, 11% of companies that use or plan AI already deploy agents; 29% plan to (Bitkom, 603 companies, summer 2026).
  4. Gartner expects more than 40% of agentic AI projects to be cancelled by the end of 2027 — due to rising costs, unclear business value and inadequate risk controls.
  5. Of thousands of vendors, only about 130 deliver genuine agentic capabilities, according to Gartner; many simply rebrand existing chatbots or RPA tools (“agent washing”).

What this means for businesses

Agents pay off where processes are clearly described, data is accessible and results are measurable — for example in IT service or knowledge search. Start with one process, one metric and clear approval limits, and check whether a vendor’s product actually acts on its own or is just a renamed chatbot.

Sources · 3

  1. McKinsey & Company · August 2026The state of AI in 2026: On the road to ROI
  2. Bitkom · 14 Sept 2026Erstmals nutzt die Mehrheit der Unternehmen KI
  3. SD Times (Gartner-Prognose) · 30 Jun 2025Gartner: More than 40% of agentic AI projects will be canceled in the next few years

Links open the original source in a new tab. Figures from company statements are labelled as vendor or company figures in the text.

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