The Feng Shui of Workforce Management Implementations
I recently had the opportunity to visit Hong Kong and reconnect with its incredible energy—a city that’s not only close to my heart but also deeply...
2 min read
Mario Da Roza
:
Apr 16, 2025 8:25:52 AM
Meet Alex.
Alex just bought a brand-new, top-of-the-line electric car. Fully loaded. Voice-activated. Self-driving. Over-the-air software updates. AI assistant. The works.
But before delivery, Alex sent the dealership a very specific customization request:
A hitching post mount on the front bumper
Leather reins pre-installed on the steering wheel
A feeding bucket hook under the hood
Lantern brackets for nighttime visibility
A brass nameplate with his horse’s name ("Maple") to rivet onto the hood
Side stirrups to mount from the driver’s door
And a wool blanket to drape over the hood so it doesn’t catch a chill overnight
Once delivered, Alex begins every trip with the same routine:
Pours oats into the feeding bucket
Brushes the hood with a curry comb
Walks the car in slow circles around the driveway to loosen it up
Hangs the lanterns
Pats the fender gently before climbing in and whispering, “Easy now…”
It’s absurd, right?
But also eerily familiar.
Because this is exactly what happens when companies invest in modern Workforce Management (WFM) platforms, and then try to force them to behave like their old legacy systems.
You’ve invested in a cutting-edge WFM solution—complete with AI scheduling, mobile access, automation, and real-time analytics.
But then you wrap it in the same old logic:
Time-off approvals that require three separate managers
Manual overrides because “we’ve always double-checked this”
Outdated rules based on policies from when people tracked time with a pen and clipboard
We can’t move forward if we’re just recreating the past in digital form.
Now more than ever, we need to dare to challenge our status quo.
Workforce Management was built around control.
But today’s environment demands something deeper: Workforce Enablement.
So what does enablement mean?
It means removing friction and empowering people to do their best work.
It means designing systems and processes that help employees deliver value—not just satisfy bureaucracy.
It’s about recognizing that both employer and employee want the same thing: to do great work, efficiently and meaningfully.
But that won’t happen if we simply digitize outdated processes.
Take this real-world example:
A policy written 20 years ago might have required managers to physically sign off paper timesheets. Fast forward to today—many organizations still require digital approval for the same timesheets.
That’s reasonable—until you learn that in some companies, managers are asked to approve their own timesheets. They enter the time, and then go back in to click “Approve.”
Why?
Is it for compliance? Or just to satisfy a checkbox?
This is exactly the kind of pattern we need to examine.
Enablement means asking hard questions. Challenging legacy thinking. Letting go of what no longer adds value.
It’s not rebellion—it’s evolution.
I’ve had the privilege of helping organizations of different sizes rethink how they manage, support, and enable their workforce.
The tools we use today are powerful—but they only unlock their full potential when we’re willing to challenge the status quo and reimagine the processes we’ve inherited.
If your team is navigating a new WFM system—or trying to make sense of where to go next— let's have a conversation. Sometimes, a fresh perspective is all it takes to move from replication to real transformation.
📩 Reach out if you want to talk strategy, share your story, or just trade notes on what’s working (and what’s not) in this space.
P.S. My next blog (coming soon) will explore real-world AI and automation use cases in Workforce Enablement—no fluff, just practical ways to simplify, streamline, and strengthen your workforce operations.
I specialize in AI/ML, workforce management, and digital transformation, with over 15 years of experience in strategy, implementation, and product innovation. My work focuses on helping organizations optimize workforce processes, enhance decision-making, and improve operational efficiency through AI-driven solutions. Currently, as VP of Analytics & AI/ML, I develop and implement methodologies that streamline digital transformation, ensuring that organizations can effectively leverage AI and analytics to achieve business objectives. I created the TACK methodology (Inovium's implementation methodology), a structured implementation framework that enhances adoption and accelerates time-to-value for enterprise solutions.
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