ICONnect Newsletter 5

April 27, 2026
ICONnect Newsletter 5
 

From Executives to Production Teams: Everyone Must Learn the Basics of AI

 

Agentic AI refers to artificial intelligence systems that can act independently to achieve complex goals with minimal human oversight. Unlike earlier AI that just responded to prompts, agentic AI systems are proactive and autonomous, and they can perceive their environment, reason through problems, and take action. The term "agentic" comes from the word "agency," meaning these systems have the capacity to act purposefully on their own.

 

Some examples of agentic AI being used:

  • Customer Service: An agentic system can handle an entire support request from start to finish, including searching a knowledge base, processing a refund, or escalating a complex issue to a human agent when necessary.
  • Cybersecurity: Agents can continuously monitor network traffic, detect anomalies, and take automated actions to block threats in real-time without manual oversight.
  • Supply Chain Management: An agent can monitor inventory and weather forecasts, anticipate delivery delays, and automatically reroute shipments to minimize disruptions.
  • HR and Recruitment: An AI agent can manage the entire recruitment pipeline by screening resumes, scheduling interviews, and sending follow-up communications autonomously.

To increase your workforce’s AI literacy, Scaled Agile has launched a new course called AI Native Foundations.  This 2-day immersive training is designed to give your teams the same baseline fluency global leaders are already building. Participants explore the fundamentals of AI—large language models, prompting, safe adoption practices, and workflow transformation.


Selected as a charter partner, ICON Agility is among the first companies worldwide to teach this groundbreaking program to help organizations immediately start building the skills to work AI into their operations. Don’t miss the chance to be one of the first. 


👉 Register now for in-person public classes on October 27-28 in Atlanta, GA; November 3-4 in Chicago, IL; December 8-9 in Raleigh, NC, sign up to be notified when new cities and dates are added, or contact [email protected] to discuss private training at your company.


👉 AI Lean Coffee  Register for our expert-facilitated Friday events on October 10 and November 3.  AI Lean Coffee events are open sessions designed for you to ask hard questions and learn how to successfully incorporate AI in your work processes. 

 

Which AI Path is Right for Your Organization?

Artificial Intelligence is on every boardroom agenda, but “where to start” is often the hardest question for executives. Should you focus on building literacy, proving business value, or preparing your enterprise to scale?


Here are a few questions you can ask yourself to triage the right path forward:

  • AI Literacy Training: Do your leaders and teams have a common understanding of what AI is - and isn’t? Are you still navigating hype versus practical applications? If so, building foundational knowledge may be the first step.
  • AI-Workshop: Do you already have a promising business use case in mind? Would demonstrating tangible results and ROI to senior stakeholders accelerate buy-in? If yes, a hands-on AI workshop + vibe coding lab can bring that idea to life through rapid prototyping and formal presentation.
  • Enterprise AI Maturity Assessment: Are you thinking about scaling AI across functions, products, and regions? Do you have questions about data governance, MLOps, FinOps, or enterprise strategy? Then a comprehensive assessment is the fastest route to identify gaps and create a roadmap for sustainable adoption.

The Bottom Line:
No two organizations need the same entry point. By clarifying your priorities - awareness, proof of value, or enterprise readiness - you can accelerate the right kind of AI engagement without wasting time or resources.


Want to learn more? Reach out to [email protected]  to have a conversation

 

Copilot and ChatGPT Enterprise Delivered the Buzz. Where’s the ROI?

A year into the enterprise AI boom, adoption is wide but transformation is shallow. Studies from McKinsey, Microsoft, and BCG show only 10–15% of employees use generative AI in meaningful, workflow-changing ways.

Most teams still treat tools like Copilot and ChatGPT Enterprise as smarter search engines or note-takers. The excitement was real — the ROI is not.


News Flash: The problem isn’t the technology. It’s the absence of learning contagion — the systems that spread skill and curiosity across teams. Without them, power users surge ahead while everyone else plateaus.


The best organizations now focus on 3 important moves:

  • Find quick, role-specific wins that save real hours of work.
  • Create lightweight peer support loops for daily AI questions.
  • Showcase success stories that turn skeptics into users.

This is how AI adoption becomes transformation: not by adding tools, but by scaling learning.


If your AI rollout has stalled, don’t buy another platform. Build the system that spreads practice.  Schedule a 30-minute call with one of our AI experts: [email protected]

 

ICON Webinars and Playback.  Your guide to upcoming and recent webinars
Insights, practices, and strategies ready when you are.

Register for 2 Free AI Lean Coffee events on Friday, October 10 and Friday, November 7. Join us and learn how to make AI part of your business strategy. Share these links with your colleagues.

 

 

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