LBZ Advisory LLC

LBZ Advisory LLC Driving Digital Transformation and AI Innovation. Contact us to learn more

Ditch the Chatbot: How to Build an AI-Native Operating Model That Actually Acts
05/30/2026

Ditch the Chatbot: How to Build an AI-Native Operating Model That Actually Acts

Most companies are piling up Ex*****on Debt by using AI to draft content instead of redesigning how work gets done. This piece breaks down the four rungs of the Autonomy Ladder, from Intern to Specialist, and how you can move up it. Stop treating LLMs like fancy typewriters and start moving from con...

The Silicon Salary: Why Humans are Suddenly the Low-Cost Option
05/26/2026

The Silicon Salary: Why Humans are Suddenly the Low-Cost Option

AI tools got so good that companies couldn’t stop using them — and now the bills are out of control. Uber burned through its entire 2026 AI budget by April because engineers were using agentic coding tools that charge per every step the AI “thinks,” not per seat. The average engineer cost $1...

The Pilot Era is Over. Welcome to the Age of the "Invisible Enterprise."For the past two years, the enterprise AI conver...
05/21/2026

The Pilot Era is Over. Welcome to the Age of the "Invisible Enterprise."

For the past two years, the enterprise AI conversation was obsessed with the "pilot"—testing whether LLMs could write an email, summarize a meeting, or draft a line of code. In 2026, that era is officially over. We have crossed the threshold from managing individual AI pilots to orchestrating autonomous AI fleets.

With Gartner predicting that the average Fortune 500 company will soon harbor over 150,000 autonomous agents—dramatically outnumbering human employees—enterprises are facing a massive, silent operational crisis: Agent Sprawl. Unlike traditional Shadow IT, which simply sits there, a rogue agent acts. Left unmanaged, this decentralized explosion of non-human workers levies a heavy "Sprawl Tax" via untraceable security risks, costly algorithmic logic loops, and a fragmented customer experience.

Discover the framework for building a "DMV for AI Agents"—a robust two-tier governance model to regain visibility, mitigate machine-speed liabilities, and successfully pivot from an app-centric to an agent-centric operating model.

Learn how to navigate the complexity of AI Agent Sprawl. Gartner predicts 150k agents per Fortune 500 by 2028. Discover the governance framework for managing your digital fleet.

Most AI market maps focus on the AI frontier model leaderboard. But the real AI race is now happening across the full st...
05/12/2026

Most AI market maps focus on the AI frontier model leaderboard. But the real AI race is now happening across the full stack: power, chips, memory, compute, models, tooling, apps, devices, and distribution. I wrote a deeper breakdown of who leads each layer, who is most vertical, and why the next phase of AI competition may be less about “who has the best model?” and more about “who controls the choke points?”

Discover why the real AI competitive battlefield isn't the model leaderboard, but the vertical integration of the full AI stack from energy to distribution.

Agile was built to help humans coordinate. AI changes the bottleneck.The old operating model was built to coordinate hum...
05/07/2026

Agile was built to help humans coordinate. AI changes the bottleneck.

The old operating model was built to coordinate human teams. The new one has to coordinate humans, agents, tools, data, permissions, and automated workflows. That is a different problem.

AI can draft, code, test, document, and fix inside the same working session. So the constraint is no longer just effort. It is the machinery wrapped around effort: handoffs, approvals, rituals, sprint theater, status translation, and all the layers built to coordinate people when people were the production system. If you keep that stack and add AI on top, you get a faster engine trapped in traffic.

The new operating model I propose has four moving parts: Outcome Pods, The Harness, the Strategic Layer, and a Two-Swarm testing model. In other words, small teams at the edge. Shared control in the middle. Clear rules at the top. Constant attack-testing built into the loop.

Read more about this in my latest essay:

Agile was built to coordinate humans. AI changes the bottleneck. The new operating model is built on Outcome Pods, a shared Harness, a clear Strategic Layer, and Two-Swarm testing that keeps speed from turning into chaos.

LBZ Advisory vs Accenture, Deloitte, PwC: Strategy Before ScaleWhen companies start AI work, they’re usually trying to s...
05/05/2026

LBZ Advisory vs Accenture, Deloitte, PwC: Strategy Before Scale

When companies start AI work, they’re usually trying to solve two problems at once. What should we do?And how do we build it? So they choose a firm that promises both. It feels efficient. One path, one team, one plan. But those are two very different decisions. And combining them too early changes the quality of both. When you call Accenture, Deloitte, or PwC, you get an end-to-end pitch: …...

Accenture, Deloitte, and PwC bundle strategy and implementation. This creates scope creep and ongoing dependency. LBZ Advisory: crystal-clear strategy first, then execute.

AI is changing the buying journey in a way most marketing KPIs still do not track.A buyer can ask ChatGPT, Gemini, Claud...
05/05/2026

AI is changing the buying journey in a way most marketing KPIs still do not track.

A buyer can ask ChatGPT, Gemini, Claude, Perplexity, or Grok what to buy, get a shortlist, compare vendors, and move forward without ever visiting your website.

That means rankings and traffic are no longer enough.

The new KPIs marketers need to track:

Coverage by engine
AI share of voice
Mention rate versus recommendation rate
Prompt-level performance
Competitor preference
What to fix first

That is why I built AIShareofVoice.ai: to show whether AI tools are recommending you, your competitors, or leaving you out of the answer entirely.

https://liatbenzur.com/2026/05/05/new-kpis-for-ai-visibility/?utm_source=facebook&utm_medium=jetpack_social

AI is changing how buyers discover brands. Learn the new KPIs marketers need to track, from AI share of voice to recommendation rate and competitor preference.

When I sit down with CEOs, boards and AI leaders, there is a quiet, persistent worry that AI governance lives in a polic...
05/04/2026

When I sit down with CEOs, boards and AI leaders, there is a quiet, persistent worry that AI governance lives in a policy document or a Confluence page, while the actual AI activity happens somewhere else entirely.

Traditional governance of approvals, committees, and static rules simply cannot keep pace with agentic workflows that plan, call tools, and act across systems in milliseconds.

The solution isn’t to abandon governance. It’s to move it from documentation into the operating system itself. This essay explores this challenge.

Governance isn't a document; it's a runtime constraint. Stop relying on Confluence pages and start building a real AI Control Plane to scale safely

Remember when companies were paying tens of thousands of dollars for Agile transformation consultants to come in and hel...
04/27/2026

Remember when companies were paying tens of thousands of dollars for Agile transformation consultants to come in and help reorganize teams around Scrum?

That happened for a reason.

The bottleneck at the time was coordination. Software had become too complex, too cross-functional, and too fast-moving for rigid, sequential delivery models. Agile gave companies a way to learn faster, adjust faster, and keep specialized teams aligned.

Now the bottleneck is changing again.

AI is collapsing the distance between idea and ex*****on. Work that used to take multiple teams, multiple handoffs, and multiple days can now happen in a far tighter loop. But most organizations are still wrapped in operating models built for a slower world.

So this is the next transformation.

Yes, AI adoption also means another organizational redesign.

What does an AI org look like? How do you redesign the system for smaller pods, sharper ownership, stronger shared infrastructure, and less coordination drag?

That’s what I wrote about in this piece.

We may be entering the era of the next “Agile transformation,” except this time the shift is not toward more ceremony. It is toward more leverage.

Software organizations always evolve around their bottlenecks. Waterfall optimized for order. Agile optimized for coordination. AI changes the constraint again. When ex*****on speeds up dramatically, the real bottleneck shifts from production to organizational latency. This piece argues that the nex...

7 Mistakes You’re Making with AI Workflow Redesign (And How to Fix Them)Most AI strategies today are essentially expensi...
04/23/2026

7 Mistakes You’re Making with AI Workflow Redesign (And How to Fix Them)

Most AI strategies today are essentially expensive exercises in "paving over the cow paths." Companies take a messy, manual process developed in 1998, add a Large Language Model (LLM) to the middle of it, and wonder why the P&L hasn’t moved. They are digitizing inefficiency rather than re-architecting for extraction. At LBZ Advisory, we see this cycle repeat across every industry: leadership approves a massive AI spend, the technical team runs a "successful" pilot, and the organization hits a wall the moment they try to scale....

Most AI strategies today are essentially expensive exercises in “paving over the cow paths.” Companies take a messy, manual process […]

Address

Seattle, WA

Website

Alerts

Be the first to know and let us send you an email when LBZ Advisory LLC posts news and promotions. Your email address will not be used for any other purpose, and you can unsubscribe at any time.

Shortcuts

Featured

Share

Category