Created: 10 Feb 2026

Updated: 10 Feb 2026

Download AI Case Book (135 pages).

Real-world AI in action in Devstark’s 2026 AI use cases report.

AI is no longer a future promise. It is already reshaping how organizations operate, compete, and create value. Devstark’s Real Life AI Use Cases 2026 report brings together dozens of real-world enterprise deployments across various industries, demonstrating how companies are transitioning from experimentation to measurable impact.

Across 135 pages of case studies, the report reveals a clear pattern: AI is being used to remove friction from everyday work, unlock trapped knowledge, and make complex operations faster and simpler. The range of AI use is vast, from generative AI assistants that surface knowledge in seconds to predictive models that optimize supply chains, and agentic systems that automate customer service at scale.

With all this innovation, one thing remains clear as day - organizations are systematically embedding AI into their core processes to deliver value.

AI Case Book (135 pages).

The research highlights four major AI application pillars:

  • GenAI & Knowledge, where companies use AI to organize, retrieve, and act on internal information;
  • Predictive AI, which lets companies be better at forecasting, risk management, and decision-making;
  • Automation AI, where firms build scalable AI platforms and autonomous workflows.
  • Infrastructure & Agents, where organizations create the technical backbone for AI alongside intelligent AI agents that can act independently, collaborate with humans, and execute tasks across systems at scale.

Real examples include such cases as DocuSign, which accelerated contract processing by 70%, or Pfizer, which ended up saving 16,000 hours a year with AI-powered R&D search, and Klarna, which ended up automating millions of customer conversations with AI.

Beyond efficiency, the report shows how AI is becoming a strategic lever that improves customer experience and reduces operational costs. Leaders who treat AI as an enterprise capability rather than a tool will be best positioned to turn data, knowledge, and automation into lasting competitive advantage.

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