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Agentic AI Moves Beyond Theory Into Real-World Business Applications

October 6, 2025•PYMNTS•Original Link•2 minutes
AiAgents
Automation
PromptEconomy

Companies are rapidly advancing agentic AI implementations across industries like pharma retail and enterprise tech with tangible use cases emerging

Recent developments show agentic AI transitioning from theoretical discussions to practical applications across multiple industries. Thought leadership alone isn't driving adoption - real-world use cases now demonstrate tangible value in what's being called the Prompt Economy.

Pharmaceutical Breakthroughs

The article "What's Reasonable to Expect from Agentic AI in Pharma?" examines AI's potential to transform drug research. Pharma's data-rich environment makes it ideal for AI agents capable of:

  • Complex workflow coordination
  • Autonomous reasoning
  • Continuous adaptation

However, success requires:

  • Cross-discipline collaboration
  • Adaptive governance frameworks
  • Balance between autonomy and control

Retail and Manufacturing Transformation

Peak has launched a suite of agentic AI products highlighted in "Peak Launches Agentic AI Solutions", including:

  • Agentic Merchandising
  • Agentic Inventory Management
  • Agentic Commercial Pricing

These tools move beyond analytics to:

  • Predict outcomes
  • Make autonomous decisions
  • Execute actions in real-time

"Our agentic AI solutions give customers the ability to optimize every complex commercial decision," said Peak CEO Richard Potter.

Enterprise Workplace Evolution

Cisco's approach, detailed in "Agentic AI and the Future Workplace", integrates AI agents across:

  • Network infrastructure
  • Security systems
  • Collaboration platforms

This "Connected Intelligence" framework aims to:

  • Automate routine IT tasks
  • Enhance human creativity
  • Orchestrate human-AI collaboration

Anurag Dhingra of Cisco states: "Our vision is seamlessly linking people and AI to make work more meaningful."

The Big Picture

These developments signal agentic AI's maturation from:

  • Dashboard-based analytics → Autonomous decision-making
  • Isolated tools → Cross-domain coordination
  • Human replacement → Human augmentation

As proofs of concept become production systems, agentic AI appears poised to drive operational transformation across industries.

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October 4, 2025•Jane Fine, Jenny Cong

Google Launches Jules API to Automate Developer Workflows

Google introduces the Jules API, enabling developers to automate and integrate tasks across the software development lifecycle.

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About the Author

Alex Thompson

Alex Thompson

AI Technology Editor

Senior technology editor specializing in AI and machine learning content creation for 8 years. Former technical editor at AI Magazine, now provides technical documentation and content strategy services for multiple AI companies. Excels at transforming complex AI technical concepts into accessible content.

Expertise

Technical Writing
Content Strategy
AI Education
Developer Relations
Experience
8 years
Publications
450+
Credentials
2
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