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AI can optimize the parts of your business.But who is optimizing the whole?A 2026 ILO review found AI can generate 10-70...
24/08/2026

AI can optimize the parts of your business.
But who is optimizing the whole?

A 2026 ILO review found AI can generate 10-70% productivity gains at the task level.

But those gains often don’t translate into measurable productivity at the firm level.

The ILO calls this the “aggregation paradox.”

Why?

Because making one task faster doesn’t necessarily make the system faster.

If information still gets lost between teams…

If people still duplicate work…

If approvals still sit in inboxes…

If AI tools don’t talk to each other…

If employees still have to coordinate everything manually…

Then you’ve accelerated individual tasks inside a slow system.

And there’s another warning sign:

Thomson Reuters’ 2026 research found 34% of professionals are already using AI tools their organizations haven’t sanctioned.

AI adoption is moving faster than organizational design.

That’s the real opportunity.

Not putting AI everywhere.

Designing the business so AI actually compounds.

Connect the systems.
Redesign the workflows.
Capture the knowledge.
Automate the handoffs.
Keep humans focused on judgment.

Because the goal isn’t:

“How much AI are we using?”

It’s:

“How much better does the business work because of it?”

AI can move at machine speed. Organizations still have to move at human speed.Only 5% of companies are generating substa...
23/08/2026

AI can move at machine speed.

Organizations still have to move at human speed.

Only 5% of companies are generating substantial financial value from AI at scale. (BCG Global⁠)

Nearly two-thirds haven’t started scaling AI enterprise-wide. (McKinsey & Company⁠)

And only 25% of workers regularly use AI, despite 83% of CEOs saying adoption by people matters more than the technology itself. (IBM⁠)

So where does transformation stall?

→ AI pilots don’t become enterprise workflows
→ Employees don’t know how their roles should change
→ Leadership lacks a common AI roadmap
→ Data, governance and risk slow deployment
→ Teams optimize individual tasks instead of redesigning the workflow
→ Productivity gains aren’t converted into measurable business value

The solution isn’t simply deploying more AI tools.

It’s redesigning how the organization works.

Start with business outcomes.

Then align leadership.

Redesign workflows around Human + AI collaboration.

Equip employees with the skills and confidence to adopt the change.

Build governance into the transformation; not after it.

And measure outcomes that matter: revenue, cost, speed, customer experience and employee effectiveness.

BCG’s research shows that the companies capturing the most AI value are moving beyond simply deploying AI to reshaping workflows and reinventing how work gets done. (BCG Global⁠)

AI transformation isn’t a technology project.

It’s an organizational transformation enabled by technology.

In a world of infinite content, the story becomes the advantage.64% of business leaders surveyed say they use visual com...
22/08/2026

In a world of infinite content, the story becomes the advantage.

64% of business leaders surveyed say they use visual communication tools to support strategic growth. And MIT research shows why: effective visualizations can significantly influence what people notice, remember, and understand. (Harvard Business Review⁠)

But visual communication isn’t about making things “look better.”

It’s about taking complex strategies, data, organizational challenges, research, or ideas and turning them into something people can understand, remember, and act on.

MIT research involving 302 participants found that people actually preferred charts with more meaningful textual annotations over less-annotated charts or text alone. In other words, the strongest communication often comes from combining story + words + visuals, not choosing one over another. (MIT Visualization Group⁠)

That changes the question businesses should be asking.

Not:

“Can you make us a presentation/carousel/infographic?”

But:

“What are we trying to make our audience understand?”

That shift from deliverable to business objective is where design becomes strategic communication.

And with AI making content creation faster, the real competitive advantage may increasingly be knowing what story to tell, how to structure it, and how to make it matter.

Sources: Harvard Business Review/Canva, MIT CSAIL, MIT Sloan.

Your webinar had 200 registrations.Your event had a great turnout.People engaged with your content.So why does the pipel...
19/08/2026

Your webinar had 200 registrations.

Your event had a great turnout.

People engaged with your content.

So why does the pipeline still look empty?

Because event marketing often creates engagement without creating a repeatable system for turning that engagement into revenue.

Here are the challenges B2B teams face every day:

🔴 Leads fall through the cracks
Registrations, attendees, conversations and follow-ups are scattered across different platforms, spreadsheets, CRMs and inboxes.

🔴 Follow-up is inconsistent
The event ends, everyone gets busy, and promising conversations don’t get the follow-up they deserve.

🔴 You can’t clearly track the buyer journey
Who registered? Who attended? Who engaged? Who became sales-ready? Which interaction actually influenced the opportunity?

🔴 Events create one-off spikes
A webinar might generate a surge of activity, but once it’s over, the momentum disappears.

🔴 Your team spends too much time stitching tools together
Email platforms, event software, CRM systems, spreadsheets and automation tools all capture pieces of the journey … but rarely the complete picture.

🔴 ROI becomes difficult to prove
You can report registrations and attendance, but connecting an event directly to pipeline and revenue becomes much harder.

The problem isn’t necessarily that your events aren’t working.

The problem is that the system around them isn’t designed to capture, track and compound the value they create.

Imagine turning every webinar, event and virtual session into a process where:

→ Engagement is captured
→ Follow-ups are trackable
→ Buyer activity is visible
→ Pipeline attribution is clearer
→ Successful campaigns can be repeated
→ Momentum continues long after the event ends

That’s the difference between running events and building an event-driven pipeline system.

The goal isn’t more events.

It’s getting more measurable business value from the events you’re already running.

By the time the problem becomes visible, the damage may already be done.Every day, decisions get delayed, priorities col...
18/08/2026

By the time the problem becomes visible, the damage may already be done.

Every day, decisions get delayed, priorities collide, workflows create friction … and valuable opportunities disappear without anyone knowing exactly why.

Your biggest business problem may be the one nobody can see.

The bottleneck might be buried in a spreadsheet.

A decision might be stuck in an inbox.

A critical workflow might depend on one person.

Your team may be busy … but working on the wrong priorities.

And your reports can tell you what happened without telling you what to do next.

This is how ex*****on quietly breaks.

Not because leaders lack ambition.

Not because they lack technology.

But because the business lacks a clear line from:

Signal → Decision → Owner → Action → Measurable outcome.

Adding another AI tool won’t fix that.

It may simply make the noise louder.

The real question is:

Can you identify what is slowing your business down … and know exactly what to fix first?

That is where operational intelligence becomes a competitive advantage.

“We do not start with technology. We start with the ex*****on gap.”

Your product may not be the problem.Your GTM might be.You have a strong product, but:→ You’re not sure who to target or ...
17/08/2026

Your product may not be the problem.

Your GTM might be.

You have a strong product, but:

→ You’re not sure who to target or how to position it
→ Your AWS, Azure, GCP or channel partnerships aren’t generating pipeline
→ Outbound still depends on manual prospecting and follow-ups
→ Leads go cold while your team is busy delivering
→ Founders close the first few deals, then hit a wall
→ Hiring senior GTM talent or a closer feels too expensive

The result?

A great product.
A stalled pipeline.
And runway disappearing every month.

The next stage of growth isn’t always about building more product.

It’s about building the revenue engine around the product you already have.

GTM strategy.
Channel activation.
Agentic workflows.
Co-sell ex*****on.
Senior deal-closing support.

Five pieces that can turn scattered sales activity into a repeatable GTM motion.

If your product is ready but your GTM isn’t, that’s the gap worth fixing.

You Could Be Wasting Your Marketing Budget Before You Spend a Dollar.Because a flawed strategy can send every campaign, ...
14/08/2026

You Could Be Wasting Your Marketing Budget Before You Spend a Dollar.

Because a flawed strategy can send every campaign, channel and decision in the wrong direction.

A few common problems:

→ Choosing channels before truly understanding the customer.

→ Building tactics before sizing the opportunity.

→ Looking at competitors without identifying market whitespace.

→ Missing emerging trends that could change the strategy.

→ Ignoring whether the brand appears when prospects search through AI.

→ Spending money before defining how success will actually be measured.

And then comes the painful part:

2–3 weeks of work. Multiple meetings. Endless revisions. A huge presentation. And sometimes… very little strategic clarity.

The result becomes a list of tactics with a strategy-shaped cover page.

The real challenge isn’t creating a marketing plan.

It’s getting the strategic thinking right before the money gets spent.

What if that entire planning process could happen dramatically faster—while still allowing you to challenge every assumption, see the reasoning, and refine the plan?

That’s where things are getting interesting.

The real danger isn’t failing to adopt AI … it’s believing you’ve transformed when you’ve only added more tools.That sho...
12/08/2026

The real danger isn’t failing to adopt AI … it’s believing you’ve transformed when you’ve only added more tools.

That should worry every engineering leader.

AI adoption is accelerating. But many organizations are discovering an uncomfortable reality:

Buying GenAI tools doesn’t automatically make engineering teams more productive.

The real risk is investing heavily in AI while delivery remains slow, technology costs keep rising, legacy systems hold teams back, and engineers spend more time managing complexity than creating business value.

And when AI initiatives remain stuck in pilots, the gap between experimentation and real transformation only gets wider.

The challenge isn’t simply “How do we adopt AI?”

It’s:

How do we redesign engineering around AI so productivity, quality, speed, and business outcomes improve together?

That requires more than another AI tool.

It requires connecting GenAI and agentic AI, cloud modernization, engineering excellence, architecture, delivery governance, and organizational transformation into one strategy.

Done correctly, AI can become more than a productivity tool.

It can fundamentally change how an engineering organization builds, scales, and competes.

That is where transformation leadership makes the difference.

AI automation is everywhere. But are we solving the right problem?I recently had the opportunity to sit down with Grant ...
11/08/2026

AI automation is everywhere. But are we solving the right problem?

I recently had the opportunity to sit down with Grant McGaugh, FHIMSS on Follow The Brand ( YouTube ) to discuss what actually happens when AI moves beyond the demo and into a real business.

One point kept coming back:

The biggest AI challenge isn’t choosing the right tool. It’s identifying the right problem.

We discussed:

→ Why mapping the workflow should come before selecting an AI tool
→ How to connect messy systems into reliable business processes
→ Building AI agents that work with real data, customers, and business consequences
→ Why AI outputs still need governance, validation, and domain expertise
→ How AI can improve speed, communication, scale, memory, and pattern recognition
→ Why businesses need to start thinking beyond SEO as AI changes how people discover information
→ The emerging importance of Artificial Engine Optimization (AEO)

AI shouldn’t create another layer of complexity.

It should remove complexity.

The goal isn’t to automate everything.

The goal is to understand the workflow, find where intelligence can create leverage, and build a system that reliably delivers the outcome.

Thank you, Grant, for the opportunity to have this conversation. I really enjoyed it and I’m excited to share it with my network.

🎙️ Listen to the full conversation:
Follow The Brand Podcast — Start With the Problem, Not the Tool⁠

https://lnkd.in/ghmU7xP2

What business workflow would you automate first if you knew exactly where to start?

Growth magnifies what’s working … and exposes everything silently costing you money.Your business is growing.More leads....
10/08/2026

Growth magnifies what’s working … and exposes everything silently costing you money.

Your business is growing.

More leads.
More customers.
More people.
More technology.

But somewhere between interest and revenue, money is being left behind.

Leads aren’t followed up quickly enough.

Sales opportunities stall between handoffs.

Customers drop off because of friction.

Teams spend hours on work that should be automated.

Marketing generates demand, but nobody has clear visibility into what actually converts.

And as the business gets bigger, these small leaks compound.

The problem isn’t always that you need more revenue.

Sometimes, you need to stop losing the revenue you’re already generating.

Look closely at:

→ Lead response and follow-up
→ Sales conversion paths
→ Customer handoffs
→ Marketing-to-sales alignment
→ Manual processes
→ Disconnected systems
→ Ownership gaps
→ Operational bottlenecks

Because growth can hide problems just as easily as it creates opportunities.

The question isn’t only, “How much more can we generate?”

It’s:

“How much of what we already generate are we failing to capture?”

That’s where the real cost of growth can be hiding.

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