DeWitt Strategic Advisors

02/01/2026

Transforming innovation from lab concept to enterprise reality.

Innovation labs love the press release.

They celebrate the announcement. The demo. The proof of concept that looks flawless in a controlled sandbox where data is clean and nothing ever breaks.

But 10 new technologies mean nothing if zero reach production.

The real metric isn't what you built.
It's what is running in the business today.

I've sat in too many boardrooms where the "Innovation Team" presents a dazzling roadmap while the Operations Team is quietly drowning in technical debt because nobody thought about how to integrate those shiny new tools with a twenty-year-old ERP system.

That is the reality.

The scoreboard is what survives the chaos of daily operations.

Stop counting pilots. Start counting survivors.

Until a system handles the messy, unglamorous constraints of your actual business... it is just expensive theater.

That's true digital leadership.

You have to build for the break, not the demo.

-> Design for failure modes early
-> Resource the boring integration work
-> Kill projects that can't survive outside the lab

If your lab is busy but your P&L looks exactly the same... you don't have a strategy. You have a hobby.

Agree? Like & Comment if you'd trade ten exciting demos for one boring system that actually works.

01/31/2026

Everyone talks about 'pilot purgatory.' We say that's a myth. The uncomfortable truth behind persistent AI pilot failures has nothing to do with the technology itself. It's a leadership blind spot.

Pilots don't get stuck.
They get abandoned.

We usually see 18-month deployments dragging on not because the Python scripts are broken, but because leadership never defined the finish line. If you don't establish exactly what "done" looks like before you start, you are just burning cash on expensive theater.

The team keeps adding features.
The scope creeps.
The budget bleeds out until someone finally pulls the plug.

Calling it a "pilot" is often the first mistake.

The word itself gives your organization permission to fail. It signals that this is just a test. An experiment.

We prefer "Phase 1 Deployment."

When you change the language, you change the incentives. Phase 1 implies we are going to production. It forces you to align on the business outcome immediately because there is no safety net of "just testing."

→ Define the exact metrics that trigger scale
→ Kill projects that miss them
→ Stop blaming vendors for internal indecision

Alignment precedes architecture. Always.

Building a system that actually produces compounding returns requires you to fix the decision structure first.

Are your projects stalling because of the code, or because nobody knows the destination?

Like if you're tired of "experiments" that go nowhere.

01/29/2026

We've seen why most AI governance fails. Top performers don't skip the "unsexy" work of defining decision authority.
Winning AI companies build this first.

Most organizations treat governance like a parking brake.

They build committees. They schedule review boards. They effectively grind innovation to a halt because they're terrified of the risk... and in the process, they lose the market.

But look at the enterprises actually deploying AI at scale. Not the ones issuing press releases—the ones shipping code. They view governance differently.

-> An accelerator.

We call it the Authority Matrix.

It sounds bureaucratic, I know. But it’s actually the mechanism that allows you to move fast without breaking things. It is simply a clear, pre-negotiated agreement on who owns the "Yes."

Think about your current state.

When an engineer wants to test a new model on non-production data, does she need the CTO's permission? When a product manager wants to push a feature to 5% of users, who signs off?

If the answer is "let's schedule a meeting to discuss," the initiative is already dying.

Speed is a function of certainty.

If your team knows exactly where the guardrails are, they drive faster. If they have to guess, they hesitate. Or they hide what they're doing.

We watch companies burn seven figures on compute and top-tier talent, yet they leave their decision-making architecture stuck in the 90s. Then they wonder why the ROI isn't there.

Defining the lanes creates freedom.

The teams winning right now aren't necessarily the ones with the smartest algorithms. They are the ones who did the boring, unsexy work of deciding who gets to decide.

That's true digital leadership.

Does your team know who holds the keys, or are they stuck waiting for another calendar invite?

Like & Share if you think we need fewer meetings and more decisions. 🚀

01/21/2026

Transform AI. From theory to battlefield impact.

Are your AI ambitions stuck in theory? My new book, 'From the Battlefield to the Boardroom,' provides the MPEA framework to achieve real, measurable, and precise impact.

Real talk: I've been building this framework for 20 years.

It started back at Beale AFB and evolved through two decades of leading cross-functional teams and modernizing legacy systems that were practically held together by duct tape. I'm seeing a lot of executives right now who have incredible technology at their fingertips but lack the operational doctrine to actually wield it effectively in a complex environment.

They treat AI like a magic trick. It needs to be treated like a weapon system.

That's true digital leadership. You can't just deploy Microsoft CoPilot and hope for efficiency... you need a strategy that forcefully bridges business intent with technical reality.

My book covers exactly how to do that.

-> Precision in ex*****on
-> Strategy that aligns with growth
-> Impact that hits the bottom line

I'm wrapping it up now. It’s almost ready.

Signal//Next subscribers at dewitt.us get the first look.

If you're tired of hype parading as leadership, this is for you.

What’s the one thing stopping your team from scaling AI right now?

Like & Comment "Ready" if you want the first chapter.

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01/20/2026

My CISO hated every AI move. Then, I invited him not to approve, but to *plan*. Six months later, he was our strongest advocate for digital transformation. This approach works.

He fought everything initially.
Every single initiative we brought to the table got hit with a wall of security concerns and governance red tape. It felt personal.
But frankly, I realized I was bringing him in too late. I was asking for a signature on a house he didn't help design.

So I flipped the script.
I pulled him into the very first planning session. Before we had a vendor. Before we had a roadmap.
I asked him how *he* would build it safely.

That shift changed everything.
Suddenly, he wasn't looking for holes in my plan. He was patching holes in *our* plan.
He went from the guy saying "no" to the guy explaining to the board how we could deploy Microsoft CoPilot securely at scale.

-> People don't resist change.
-> They resist being changed.

If you treat your technical skeptics like roadblocks, they'll stop traffic. Treat them like architects, and they'll pave the road.

Who are you leaving out of the planning room right now?

Like & Comment "Architecture" if you believe in building with your critics, not against them.

01/19/2026

The most dangerous thing in a tech organization isn't a system outage.

It's silence.

When your team is too afraid to speak up because they think an incident review is a tribunal, you aren't just losing data. You are losing the ability to adapt.

We call this Phase 4 of the MPEA Framework: Adaptive Response.

But honestly? It’s just good leadership.

From my roots in the USAF to modernizing supply chains, I've found that the best frameworks eventually disappear. They stop being a "protocol" on a PDF somewhere and just become the way people think.

You have to run After Action Reviews (AARs) relentlessly.

Not just when things break.

Run them when you land a massive contract. Run them when a deployment goes perfectly smooth.

→ Look at the system flaws, never the person.
→ Document the reality of what happened.
→ Broadcast that lesson so a team in a different department doesn't make the same mistake next week.

Blaming a developer for pushing bad code is easy. Asking why the CI/CD pipeline allowed that code to pass requires actual work.

That’s the shift.

Once you embed this, you stop needing to enforce it. The culture shifts from "covering my tracks" to "how do we make this stronger?"

That's true digital leadership.

Does your team dissect their wins as aggressively as their failures?

Hit Like if you agree that culture eats strategy for breakfast.
Drop a comment on how you handle "lessons learned."

01/18/2026

TikTok's $14B deal hides critical control questions.

Weekend observation: The market is busy celebrating the $14B valuation of the U.S. business while Oracle steps in as the 'trusted security partner.' ByteDance keeps 19.9% and everyone calls it a win.

But look closer.

Who actually owns the algorithm?

That is the governance question nobody seems to be asking. We are looking at a deal where the financial structure is clear, but the operational reality is murky. If the recommendation engine—the literal brain deciding what millions of people see next—remains a black box, then the "security" label is just expensive window dressing.

Who decides when recommendations contradict policy?
Who holds the keys when the code executes something unexpected?

-> Ownership without algorithmic control is an illusion.

Real digital leadership requires looking past the valuation headlines to ask the uncomfortable questions about sovereignty and logic. It's easy to get distracted by the liquidity event, but seasoned leaders know the real asset is the logic driving the behavior.

Smart move: recognizing that buying the platform means nothing if you don't control the engine.

That's true digital leadership.

What do you think? Are we ignoring the engine while buying the car?

Like & Share if you believe governance matters more than the price tag.

01/18/2026

While others rush into AI, Ford's $19.5B write-down reveals a deeper truth. The true leaders are moving differently.

Smart leaders aren't chasing AI hype.

Everyone thinks speed is the ultimate metric right now. You look at OpenAI valued at $500B and think the only option is to sprint. But Ford sprinted. Now they're swallowing a nineteen billion dollar write-down because the foundation wasn't there.

Tesla is testing empty robotaxis while the market holds its breath.

The companies that survive the bubble won't be the ones who moved the fastest. They'll be the ones who built governance before they built the hype. In the Air Force, we had a specific term for this.

Prudent aggression.

It sounds like a contradiction. It isn't. It means moving with absolute urgency while maintaining total accountability for the result.

Speed without structure is just expensive failure.

I see too many organizations right now confusing reckless spending with innovation. They think if they aren't breaking things, they aren't moving fast enough. But there's a huge difference between a calculated risk and a blind gamble.

You need to operate differently:
-> Establish the doctrine (the "why" and "how")
-> Trust your people to execute within those lines
-> Then get out of the way

If you don't trust your team to make a decision without six approvals, you've already lost. But if you let them run without that doctrine?

You end up as a cautionary tale in a quarterly report.

That's true digital leadership.

What do you think? Is your org prioritizing speed or structure right now?

Like & Comment "STRUCTURE" if you're tired of the blind chaos. 🫡

01/17/2026

Transform your digital investments. One company went from 2 years of wasted effort and $3M loss to $10M revenue in just 4 months.

From $3M waste to $10M gain in 4 months.

We walked into a situation that might sound familiar. A mid-market e-commerce company, pulling in $80M, but absolutely stuck on a recommendation engine project.

Two years of work.
Three different teams trying to fix it.
$3M sunk cost.

Nothing to show for it except frustration.

We didn't just throw more code at it. We applied the MPEA framework to realign the tech with the actual business goals. The difference was night and day.

The results speak for themselves:
→ 22% lift in conversion
→ $10M revenue increase
→ 99.7% uptime
→ ROI positive in 4 months

That’s true digital leadership.

Most companies get lost in the complexity. They focus on the "innovation" rather than the implementation. But when you clear the noise and focus on practical application, the turnaround happens fast.

This is why I do what I do. To bridge that gap between "what if" and "here is the cash flow."

We build what matters.

Does your current strategy deliver numbers like this, or just more roadmap meetings?

Drop a like if you believe technology should pay for itself.

01/16/2026

I dismissed 'move fast and break things' as naive. Turns out, it's half true. The real secret to success lies in what follows 'move fast.'

For years I thought it was just Silicon Valley nonsense.

Honestly, it often sounded like an excuse for lack of strategy. But looking back at my roots, I realized I was missing the nuance. The Air Force has a version of this that actually works.

"Prudent aggression."

It demands you move with incredible velocity. But breaking things isn't the goal—it's an acceptable risk *only* if you have the iron discipline to repair the damage immediately.

Speed without structure is just chaos.
→ Urgency must be paired with accountability.
→ Aggression must be paired with prudence.

I see too many teams confuse motion with progress. They break things and leave the mess for someone else, thinking that's innovation. It isn't.

That's true digital leadership. Knowing exactly how fast you can push before the system cracks, and having the expertise to reinforce it in real-time.

Bottom-line: Move fast. But build things that last.

What do you think?
Agree? Like and Comment if you value disciplined speed over reckless growth. 🚀

01/15/2026

Imagine AI governance so clear, a colonel summarized it in three lines: Who owns it. What triggers action. What happens next. This clarity is within reach.

In the Air Force, complexity is a threat. In business, it’s a silent killer of momentum.

I see organizations burying their teams under 50-page governance PDFs that nobody actually reads. Leaders often confuse volume with safety, assuming that documenting every edge case equates to control. But when a crisis hits—or an opportunity opens up—nobody has time to consult chapter four of the handbook.

Real control requires Integrated Command. This is Phase 3 of the MPEA Framework.

Thick binders don't guarantee safety. Clear boundaries do.

The Colonel who ran our special access program kept it brutal and simple for a reason. He knew that hesitation creates failure. That's why we apply that same discipline to tech governance:

-> Clear ownership. Assign decision rights so there is zero ambiguity.
-> The RACI matrix. Document it. Make it law.
-> Explicit boundaries. Know exactly what triggers action.

When your team knows who holds the ball and what the next move is, speed happens naturally. You stop scheduling "alignment meetings" just to figure out who is allowed to say yes.

That's true digital leadership.

Building a massive compliance deck is easy work. Making governance simple enough to execute under pressure? That is where the real challenge lies.

Does your team actually know who owns the decision, or are they just guessing?

Drop a like if you’re tired of bureaucracy masquerading as strategy.

01/14/2026

Your AI talent pipeline is already compromised.

While you focus on hiring top AI talent, state-sponsored actors are actively infiltrating your recruitment process using advanced AI. This isn't a future threat; it's happening now. Most aren't prepared.

Amazon recently blocked 1,800 suspected North Korean operatives from remote jobs since April.

Let that sink in.

We aren't talking about bad photoshop on a PDF resume. These actors are deploying AI to craft flawless profiles and using live face-masking tech during the actual interview. They sit there, nodding at your questions, looking like the candidate you want, while the software overlays a different face entirely ¹.

The tool you’re betting your future on is being weaponized to infiltrate your teams.

I see this constantly in my advisory work. Leaders obsess over firewall pe*******on testing and cloud security posture, yet they leave the front door unlocked because they assume "video on" means "identity verified."

If a tech giant with Amazon's resources is fending off thousands of these attempts, the mid-market and enterprise sectors are likely already infiltrated without knowing it.

You can't build a secure platform if the builders are compromised.

→ Defense in depth now has to include biometric verification before Day 1.
→ Standard background checks are failing against synthetic identities.
→ The "remote trust" model needs a hard audit.

We have to stop looking at security as just a software problem. It is a people problem, amplified by the very tech we are trying to master.

Smart move: audit your remote hiring protocols this week.

Does your current process catch a live deepfake?

Drop a "Yes" or "No" below—let's see where we stand.

References:
[1] "Amazon blocked 1,800 suspected North Korean operatives." *Security Week*, Oct 2024, www.securityweek.com/amazon-north-korea.
[2] "Guidance on North Korean IT Workers." *FBI Internet Crime Complaint Center*, May 2024, www.ic3.gov/media/news.
[3] "Deepfakes and Digital Identity." *CISA Cybersecurity Alerts*, June 2024, www.cisa.gov/news-events/alerts.