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QUARTERLY NEWSLETTER

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The Changing Times

September 2025

Adopting AI

By: Mike Hoffmann

Artificial Intelligence dominates today’s business conversation. New models make headlines every week. Vendors are racing to release tools. Executives are under constant pressure to “do something with AI.”

 

But here’s the reality: adopting AI successfully is not primarily a technology challenge. It’s a business transformation challenge.

 

Why Firms Struggle

For many smaller organizations, competing at the technical level isn’t realistic. The field is crowded, hyper-competitive, and expensive. What these firms often find instead is a growing gap between their ambitions and their results:

  • Pilots that never scale
  • Budgets consumed without measurable ROI
  • Employees skeptical or resistant to change
  • Misalignment between leadership strategy and frontline execution

The risk is real. Without the right approach, AI initiatives can waste resources, create change fatigue, and damage credibility with boards and employees alike.

 

What Firms Need

The challenge is not just “how do we use AI?” but “how do we prepare our people and processes to adopt AI in a way that drives results?”

That requires:

  • Practical frameworks for adoption
  • Business-driven, safe-to-fail experiments that allow for fast learning without excessive risk
  • Change management that brings employees on the journey rather than leaving them behind
  • Alignment across strategy, teams, and outcomes

Roeder Consulting’s Approach

At Roeder Consulting, we don’t build AI models. We don’t sell AI tools. Instead, we help organizations adopt and scale AI successfully by bridging the gap between technology and people.

Our framework for AI-enabled change includes four key steps:

  1. Readiness Assessment – understanding where AI fits in your strategy, culture, and capabilities.
  2. Experiment Portfolio Design – launching a set of small, business-driven pilots that balance risk and opportunity.
  3. Change Enablement – ensuring people, processes, and governance structures are ready to support adoption.
  4. Scaling Success – moving from isolated pilots to enterprise-wide results.

This approach ensures AI efforts are not “science projects” in isolation but tightly connected to measurable business outcomes.

 

Why Work With Us

Our clients choose us because of our track record in organizational change management, project delivery, and digital transformation. We know that success depends on aligning people and strategy, not just deploying new tools.

 

We bring a people-first mindset, proven frameworks, and a results orientation that ensures adoption sticks. While AI may be the transformation priority today, our methods apply to any major change — from new regulations to emerging technologies.

 

Next Steps

If your organization is considering AI adoption — or if you’ve already started and progress feels slow — we’d love to talk.

 

A 30-minute readiness conversation can help you identify where AI fits your strategy, how to structure the right experiments, and how to prepare your people for lasting success.

 

Let’s make AI adoption stick.

Roeder Consulting

How Has Search Evolved from Basic Browsers to Autonomous Agents? 

By: Jeff Williams

Today, in the age of information abundance, one might query a generative AI: "Trace the journey of search engines from their browser origins to today's agentic AI, emphasizing key innovations and best practices for users?" when not long ago you could only type keywords into a browser window. 

 

The evolution of search began with internet browser tools in the early 1990s: Yahoo!'s directories and Google's 1998 PageRank transformed manual listings into algorithm-driven relevance. Over decades, searches incorporated personalization, voice search, and semantic understanding, making queries more intuitive. 

 

Generative AI shifted paradigms by creating content from patterns — text, images, code — rather than mere retrieval. It advanced through ethical safeguards and real-time integrations, enabling creative ideation but highlighting risks like misinformation. 

 

Enter agentic AI search tools around 2023. Exemplified by Perplexity’s Comet and “SuperGrok” - Grok 4, which autonomously plan, execute multi-step queries, and iterate using tools. Drawing from frameworks like ReAct (2022) for interleaved reasoning and acting, and Toolformer (2023) for self-taught tool use, these systems simulate human agency, revolutionizing complex tasks. 

 

Today, search is conversive, proactive, iterative, and blended: browsers for speed, generative for creation, agents for iterative orchestration. A key takeaway from discussions on prompt engineering's role — structuring inputs with roles, clear goals, phased processes, tool specs, constraints, and formatted outputs. Summarizing best practices: Develop well-formed prompts to minimize errors, ensure ethical outputs, and harness iterative reasoning for precision. 

 

This transformation empowers efficiency in fields like project management. 

 

Ready to transform and optimize your leadership? 

Visit roederconsulting.com to discover how we empower your teams to put Project Management Leadership to work for you. 

 

Email us at info@roederconsulting.com to begin the conversations about how Roeder Consulting can elevate your Project Management Leadership. 

Kidding , not kidding:

“Great businesses of the 21st century will be built on AI—and hopefully better Wi-Fi.” — Tony Tether, Former DARPA Director.

Roeder Consulting
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Cleveland • Denver • Los Angeles

Roeder Consulting, 3867 W. Market Street #302, Akron, Ohio 44333, United States, 216-342-4015

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