acceligence

accelerating insight into advantage • ai-powered management consulting focused on technology, cybersecurity, risk, and strategy

[acceligence @acceligence]

📊 For the past several years, the conversation has focused on models, capabilities, and technical breakthroughs. Increasingly, the real challenge is execution.

Organizations already have access to powerful AI technologies. The harder problem is connecting data, workflows, governance, security, and business processes in a way that delivers measurable business outcomes.

As our CEO Justin Greis recently shared with CIO:

“Enterprise AI is moving from a technology conversation to an execution conversation, and time-to-value is becoming the new battleground for competitive advantage.”

That shift helps explain why we're seeing accelerated investment, acquisitions, and consolidation across the AI ecosystem. The winners won't simply be the companies with the most advanced technology. They'll be the ones that help enterprises realize value faster and with less complexity.

We're pleased to contribute to CIO's analysis of Salesforce's acquisition of Fin and what it signals about the future of enterprise AI adoption.

🔗 Link to article: https://t.co/thwNNPOdLc

#AI #EnterpriseAI #AgenticAI #DigitalTransformation #TechnologyLeadership #Technology #Agents #AI

[acceligence @acceligence]

🤖 💼 One of the most interesting developments in enterprise AI is how the professional services landscape is changing around it.

Forward-deployed engineers or "FDEs" are blurring the traditional boundaries between software vendors, consultants, and implementation partners. AI providers are moving closer to delivery. Consulting firms are moving deeper into engineering. Everyone is competing to help organizations turn AI capabilities into operational outcomes.

The question for enterprise leaders isn't whether to use outside help - most organizations will - it is whether that help leaves the organization more capable, more resilient, and more independent when the engagement is over.

acceligence CEO, Justin Greis, contributed to Computerworld's latest article examining AI vendor FDEs, vendor lock-in, capability transfer, and the evolving options organizations have for building and deploying AI at scale.

🔗 Link to article: https://t.co/wSEnhzberR

[acceligence @acceligence]

📰 acceligence news: Introducing our first class of acceligence Consultants

Our distinguished expert leaders help organizations unlock new opportunities, accelerate innovation, and build the capabilities needed to thrive in what's next.

🔗 Read more about our Directors here: https://t.co/20T5yR704J

[acceligence @acceligence]

Link to the full article: https://t.co/unuG5xqBEa

[acceligence @acceligence]

📱The UK's proposed push for device-level content scanning has sparked an important debate: how do we protect children online without creating new cybersecurity and privacy risks?

In a recent CSO Online article, acceligence Director Jeff Valdes and Executive Advisor, Nidhi Luthra, weighed in on the challenges. Jeff highlighted the security concerns of creating new pathways for sensitive data exposure, noting that any mechanism designed to flag and report content introduces potential new attack surfaces. Nidhi emphasized the practical realities, including age verification and model drift, false positives, and the lack of context needed for reliable enforcement.

The conversation underscores a broader challenge facing governments, technology providers, and security leaders alike: balancing safety, privacy, and security in an increasingly connected world.

Proud to see our team contributing to this important discussion, and thank you to Evan Schuman for the outstanding coverage.

[acceligence @acceligence]

As acceligence CEO Justin Greis recently noted in CSO, AI's value comes from its ability to connect to systems, access data, browse the web, and take action. Those same capabilities also expand the attack surface.

What's encouraging is that the market is beginning to respond with more sophisticated controls. Features like OpenAI's Lockdown Mode reflect a broader shift in enterprise AI maturity: moving beyond the question of what AI can do and toward how organizations can safely scale its impact.

The conversation is no longer just about deploying AI, it's about operationalizing AI safely at scale. As governance capabilities mature alongside model capabilities, organizations gain the confidence to move from experimentation to transformation.

The biggest opportunity isn't building more powerful AI. It's building AI that businesses can trust, govern, and scale.

🔗 Link to full article: https://t.co/oTfAzcFebh

[acceligence @acceligence]

🚀 A couple of mini milestones we're excited to share.

acceligence is now a registered trademark and has earned a Verified Brand Mark (that little blue checkmark on our emails), helping strengthen brand protection, email authenticity, and trust.

Both are investments in something we care deeply about: trust. Whether it's protecting our brand or helping recipients verify our emails, these steps strengthen confidence in every interaction.

Big thank you to Scott Slavick and the team at Barack Ferrazzano for their outstanding work and support throughout the trademark process.

✨ The trademark and Verified Brand Mark are milestones. The trust they represent is what matters most.

[acceligence @acceligence]

🔎 Cybersecurity has long been treated as a vulnerability discovery problem, but AI is proving it was a remediation problem all along.

Projects like Anthropic's Glasswing are accelerating vulnerability discovery at a scale we've never seen before. That's good news for defenders - but it also exposes a hard truth: most organizations already struggle to validate, prioritize, patch, test, and deploy fixes fast enough.

If AI can identify vulnerabilities 10x or 100x faster than humans, the bottleneck doesn't disappear. It simply moves downstream. Organizations may soon find themselves with unprecedented visibility into risk while simultaneously becoming overwhelmed by the sheer volume of issues requiring action.

The next challenge in cybersecurity won't be finding vulnerabilities. It will be deciding which ones to fix first.

Thank you to Evan Schuman for the thoughtful discussion and for capturing this important shift in such an insightful article, "Anthropic grants Project Glasswing access to 150 more companies, with a focus on critical infrastructure."

🔗 Link to CIO Article: https://t.co/e1l3H2NbRB

🔗 Link to CSOArticle: https://t.co/dCPRO1EVRP

[acceligence @acceligence]

Link to article: https://t.co/N1NsBgSWxF

[acceligence @acceligence]

📈 AI pricing remains one of the most important conversations facing enterprise leaders today.

As AI evolves from a technology tool into a business capability, organizations are rethinking how they evaluate value, investment, and outcomes.

Three key takeaways from this discussion:

🏆 AI success should be measured by business impact, not technical consumption metrics alone.

💰 Pricing models will continue to evolve as organizations gain greater clarity on how AI creates value across the enterprise.

🔭 Strong governance, clear objectives, and executive accountability remain the foundation of successful AI adoption.

Appreciate Evan Schuman for including our perspective in this timely conversation about the future of enterprise AI. Check out his latest ComputerWorld article titled, "The AI pricing conundrum - it started as a nightmare, now it’s worse."

👇 Link to the full article in the comments below.

#AI #GenerativeAI #AgenticAI #AIStrategy #DigitalTransformation

[acceligence @acceligence]

🔗 https://t.co/vmvZYPIEm6

[acceligence @acceligence]

📰 @acceligence news: Ryan Sparks joins acceligence as Executive Advisor to help organizations modernize operations and scale AI with discipline

A global C-level executive, enterprise modernization leader, and decorated U.S. Marine Corps officer, Ryan brings deep experience helping organizations align technology, operations, and leadership in rapidly evolving business environments.

👇 Link to the full news article in the first comment below.

[acceligence @acceligence]

📰 acceligence news: Dr. Mary Kay Vona joins acceligence as Executive Advisor to strengthen AI-powered workforce transformation

A globally recognized organizational strategist and transformation leader, Dr. Mary Kay V., SPHR brings nearly four decades of experience helping enterprises navigate workforce disruption, leadership change, and large-scale business transformation.

🔗 Read more at https://t.co/CqQAwsSskh: https://t.co/djuXHVCiew

[acceligence @acceligence]

Read the full article here: https://t.co/DGJnfZtVzW

[acceligence @acceligence]

🔍 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

[acceligence @acceligence]

Link to full article: https://t.co/SQj48zTjRL

[acceligence @acceligence]

📰 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.

[acceligence @acceligence]

🔗 Read the full article here: https://t.co/0uZE9GRSSR

[acceligence @acceligence]

🤖 For the last two years, the market narrative around AI has largely centered on model capability - bigger models, faster models, more autonomous capabilities. But inside large enterprises, especially regulated environments, the real limiting factor is increasingly something far less glamorous:

🏗️ Institutional Capability 🏢

This CIO article explores the growing dependence organizations are developing on forward-deployed engineering teams to operationalize agentic AI - and why that dependency may become one of the defining enterprise risks of the next phase of AI adoption.

💬 As acceligence CEO Justin Greis noted in the piece:

“Ending up with a system that only the vendor can operate, extend, or even fully understand is where things start to break down.”

That observation gets to the heart of what many organizations are now discovering firsthand: AI implementation is not the same thing as AI capability.

Building sustainable enterprise AI requires far more than deploying models or launching agents. It requires organizations to rethink governance, ownership, operational accountability, decision rights, security controls, institutional knowledge transfer, and long-term maintainability.

The companies that succeed in the next phase of AI adoption will not necessarily be the ones deploying the most agents the fastest. They will be the ones building architectures, operating models, and internal capabilities that allow those systems to evolve safely and independently over time.

Excellent reporting by Evan Schuman covering an important shift happening across the enterprise AI landscape.

🔗 Link to the full article in the comments below.

#AI #EnterpriseAI #AgenticAI #TechnologyStrategy #Cybersecurity #DigitalTransformation #Leadership

[Justin Greis @JustinGreis]

⚠️ 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 @ILSecOfState 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.

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