Justin Greis

05/13/2026

🧬 A great read and set of insights by Paul Bierbusse on the power of curiosity and how to weave it into the DNA of your organization.

🔍 Most organizations say they value curiosity. Far fewer are actually designed to support it.

In his latest article, acceligence Executive Advisor Paul Bierbusse explores how culture, structure, training, and incentives either cultivate intellectual curiosity or slowly eliminate it over time. Paul's piece goes beyond leadership theory and gets into the operational realities that shape how organizations learn, adapt, and innovate.

One of the strongest themes: organizations don’t become more adaptive by accident. They become more adaptive by design, a deliberate choice that permeates leadership decisions, culture, and behavior.

A thoughtful read for leaders navigating transformation, change, and disruption.

🔗 Link to the article in the comments below

05/12/2026

The other day, my colleague Yuri Goryunov and I were out to dinner when a friend asked, “So, tell me what you guys do.”

Yuri answered instinctively: “We do what we love, with people we like, and none of the stuff we hate.”

I thought that was brilliant, and I’m officially adopting it as a mantra.

That spirit is exactly why I’m proud to share this article featuring Michael Yadgar, a friend, mentor, and acceligence Executive Advisor.

Michael’s reflections are about leadership, consulting, AI, culture, resilience, and the work that endures. But at the center of it all is a simple truth: great organizations are built by people who care deeply about the people around them.

As AI changes the mechanics of work, Michael reminds us that the human work of leadership becomes more important, not less.

Thank you, Michael, for sharing your wisdom, perspective, and humanity with all of us.

Here’s to you, my friend. 👏 👏 👏

📰 acceligence news: What endures: Michael Yadgar on five leadership principles for the AI era

acceligence Executive Advisor Michael Yadgar reflects on the leadership lessons that shaped a 32-year consulting career and why they matter even more as AI reshapes the enterprise

👉 Link to the full article in the comments.

05/06/2026

⚠️ Cyber threats target people and exploit human emotion, not just system vulnerabilities.

📱 I received an SMS phishing attempt today (one of hundreds per week) impersonating the Illinois Secretary of State and using urgency, fear, and legal language to drive action. This is exactly how modern social engineering works - exploit trust, create pressure, and trigger a reaction before verification.

A few Wednesday-worthy reminders:

👆 Never click links in unexpected text messages
✔️ Verify requests through official channels
🚩 Treat urgency as a red flag, not a call to action
📨 These sorts of attacks extend far beyond email

Cybersecurity is no longer just a tech issue. It’s a leadership, operational, and human-risk issue.

05/05/2026

🏎️ AI adoption is moving fast...and that’s a good thing!

The question I keep coming back to is simple: can we scale this without breaking the economics, especially once it’s embedded in price-sensitive products?

Pilots are easy to love, but PRODUCTION is where the math gets real.

Architecture, model choice, token usage, vendor terms, and workflow design all start to matter once AI is running inside the business every day and embedded into its DNA.

I don’t think the answer is to slow down. I think the answer is to scale smarter.

acceligence Partner and CIO, Yuri Goryunov, shares an excellent perspective on why AI cost discipline will become a bigger leadership topic in 2027, and what executives can do now to get ahead of it.

Curious how others are thinking about this: are you already modeling the cost side of AI at scale?

👇 Read the full article below or at acceligence.com: https://acceligence.com/insights/2026/05/04/scaling-ai-without-breaking-the-economics/

💡 acceligence insights: Scaling AI without breaking the economics

AI adoption is entering its next phase: not less ambition, but better economics. Leaders who pair speed with cost discipline now will be positioned to scale AI confidently, protect margins, and create lasting advantage.

🔗 Read the full article here: https://hubs.la/Q04fdfff0

04/30/2026

What an amazing couple of days with the NACD and US Secret Service Cybersecurity Board Academy. It was a wonderful event with great discussions and insights from real-life superheroes, experts, and board directors. I was proud to facilitate the “Securing the Board” session and share how to keep Directors safe from cyber threats.

04/27/2026

I’m honored to be named a 2026 Top Consultant by Consulting Magazine. That said, recognition like this is never individual. It reflects the leaders and teams I’ve had the privilege to work with over the years - people who have invested in me, guided me, and lit the way when it was darkest. They also taught me the nobility of the profession and the fulfillment of helping others achieve their dreams...I carry their lessons with every client I serve.

And if there’s one thing I’ve learned in helping my clients over the last 25 years, it’s this: most organizations don’t struggle with knowing what to do. The real challenge is turning that into something that actually works - at scale, under pressure, on budget, and over time.

That’s the problem I’ve spent my career focused on. And it’s one of the many reasons that led me to start acceligence.

We’re building a different kind of consulting model - pairing deep expertise with AI to help leaders get to better answers faster, without sacrificing judgment or rigor. The pace of change isn’t slowing down, and how organizations get help needs to evolve with it.

Grateful for the journey - and even more motivated for what’s ahead.

BIG THANK YOU TO: Andrew MacKenzie • Angela C. Williams • Bob Patton • Brian Kelly • Dillon Dieffenbach • Edna Conway • Jason Lipschultz • Kevin W. Farrell, Ph.D. • Mark Gerstein • Mike Chibbaro • Neil Novich • Patrick Hopkins • Ramesh Venkataraman • Tom Coburn • William Lin • David Neuman • Yuri Goryunov • Ian Schneller • Michael Yadgar • Michael Casey • Nidhi Luthra • Norman Lonergan • Paul Bierbusse

📣 acceligence press release: acceligence Founder and CEO Justin Greis named a 2026 Top Consultant by Consulting Magazine

Chicago, Illinois - April 27, 2026 - Recognition in the Cybersecurity & Risk Technology category honors more than two decades of executive advisory work and the firm's AI-powered approach to management consulting.

🔗 Read the full press release at https://hubs.la/Q04dw2fM0

04/16/2026

🎉 A huge congratulations to my friend, Dr. Leslie Mendoza Temple, for her feature in Crain's Chicago Business Notable Leaders in Health Care 2026.

Dr. Mendoza Temple is one of the most brilliant physicians I've met, and happens to be equally kind, caring, and wonderful. Way to go, Dr. LMT! 👏👏👏

🔗

Thank you Justin Greis for nominating me for Crain’s Chicago Business 2026 Notable Leaders in Healthcare. It is an absolute privilege! Integrative Medicine is an integral part of the solution for the healthcare crisis we’re all experiencing in one way or another.

04/16/2026

Analysts and consultants see it as taking a more conservative fiscal approach as OpenAI prepares for an imminent IPO.

04/08/2026

📣 acceligence press release: Justin Greis joins NACD Board Advisory Faculty to help boards unlock the value of AI and technology

Chicago, Illinois - April 8, 2026 - Justin Greis, CEO of acceligence, has been appointed to the Board Advisory Faculty of the National Association of Corporate Directors (NACD), dedicated to empowering directors and transforming boards to be future-ready.

🔗 Read more at https://hubs.la/Q049Z4vs0

04/01/2026

🗞️ AI headlines are getting ahead of reality again.

A recent “100x less power” claim made waves - but as acceligence CIO Yuri Goryunov pointed out, it was a rule-based system outperforming a neural model on a simple, controlled task. Impressive in isolation, but far from a real-world breakthrough.

👉 What actually matters for enterprise leaders:

🗜️ Most “breakthroughs” are narrow. They work in clean, controlled settings - not in messy, real-world environments with fragmented data and ambiguity.

💰 AI economics are still shifting. Even niche advances can drive lower costs over time as platforms and providers optimize behind the scenes.

🧘‍♂️Flexibility is critical. The landscape is moving too fast to lock into one vendor or architecture without limiting your options later.

The edge won’t come from chasing headlines. It’ll come from building AI strategies that can adapt as the ground keeps shifting.

🔗 Read the full article by Evan Schuman in Computerworld: https://hubs.la/Q0499-1k0

04/01/2026

🔥 AI is a force multiplier for whatever data it’s given.

A recent piece highlights something many leaders are starting to feel in real time: the combination of AI + poor data isn’t just inefficient, it’s risky. At scale, systems don’t question the data they’re given - they act on it.

As acceligence Partner and COO, David Neuman, put it, organizations need to be far more intentional about how they manage and prioritize data - especially identifying what truly matters to retain long-term, “such as scientific data and meteorological data.”

The takeaway isn’t political - it’s operational.

If AI is going to power more decisions, then data quality becomes a leadership issue, not just an IT problem. That means:

🛀 Treating data hygiene as a strategic priority, not a cleanup project that never quite makes the roadmap. Because once AI is layered in, small inaccuracies don’t stay small for long.

🗑️ Being explicit about what data deserves long-term investment versus what should be retired. Not all data is created equal, and pretending it is creates noise that AI will confidently act on.

🏎️ Recognizing that speed without validation is a tradeoff, not a free upgrade. AI accelerates outcomes - both good and bad.

⚖️ Asking not just whether data *CAN* be used, but whether it *SHOULD* be used. Responsible AI isn’t only about accuracy - it’s about intent, context, and the downstream impact of the decisions being made.

AI is only as smart as the data it's given.

And increasingly, the real differentiator isn’t just better models, it’s better judgment (by humans).

👉 Read the full article by Evan Schuman here: https://hubs.la/Q0492ySp0