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Tech Leader's Guide: Navigating the Agentic AI Tsunami and Its Impact on the Future of Software Development

  • Understand how agentic AI frameworks work
  • Identify high-ROI, low-risk entry points
  • Get a blueprint for business-wide integration
  • Ensure ethical and transparent adoption
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Navigating the Agentic AI Tsunami

What if your software could write itself?

Imagine a software development life cycle (SDLC) where code is not just written, but also architected, tested, and deployed by autonomous agents. This eBook explores how to leverage autonomous agents to automate and augment every stage of the SDLC, and examines the coming wave of innovations that are set to reshape software delivery in the near future.

What if your software could write itself?

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Agentic AI by the Numbers

By considering factors such as data volume, regulatory landscape, privacy concerns, budgetary constraints, and internal AI capabilities, this resource offers practical guidance for selecting appropriate generative AI models.

$4.4

trillion in potential productivity gains from enterprise AI use cases globally.

McKinsey

77%

of engineering leaders identify AI integration in apps as a major challenge.

Gartner

45%

of organizations view data integration as the greatest hurdle to AI readiness.

MIT Research

The Proven Roadmap to Agentic AI Success

In this eBook, we provide clear guidance and actionable checklists for tech leaders seeking to harness agentic AI. You’ll learn:

How agentic AI frameworks work

How agentic AI frameworks work

How agentic AI operates within the SDLC and what it requires to function effectively.

High-ROI, low risk AI entry points

High-ROI, low-risk entry points

High-ROI AI use cases designed to deliver measurable impacts throughout the SDLC.

A blueprint for business-wide AI integration

A blueprint for business-wide integration

Step-by-step guide to adopting agentic AI, with actionable checklists for developers and QAs.

Ethical and transparent AI adoption

Ethical and transparent adoption

Principles and best practices to uphold data quality and trust as you expand agentic AI use.

Meet the author

Guy Merritt

Guy Merritt - Chief Technology Officer, KMS Technology

Guy Merritt is our Chief Technology Officer, having decades of C-suite experience in leading transformative initiatives across strategy, engineering, manufacturing, and venture capital. He brings deep expertise in leveraging and consulting on emerging technologies, machine learning, and agentic AI.

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View Our AI Offerings

Ready to take the next step? Talk to our team about our entry-point AI offerings.

AI Maturity Assessment

AI Maturity Assessment

Our structured framework helps to assess and guide organizations in their adoption and implementation of AI technologies.

  • Current-state maturity score across 5 dimensions.
  • Benchmarking against industry standards.
  • Roadmap for near-term and long-term initiatives.
Five in Five Workshop

Five in Five Workshop

In five business days, we’ll help your team identify five high-ROI AI use cases designed to deliver measurable impact.

  • 5 prioritized AI use cases with ROI rationale.
  • Impact estimates for each use case.
  • An executive-level, actionable roadmap to guide adoption.
AI Proof-of-Value Workshop

AI Proof-of-Value Workshop

With a structured, five-day design and development sprint, our team takes you from concept to an AI prototype that helps kickstart your AI adoption.

  • A functional AI prototype tailored to your business.
  • AI design documentation and technical summary for scalability.
  • A readout with demo highlights, success metrics, and next-step recommendations.
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