Tag: First

  • I Didn’t Choose Digital Transformation. It Arrived Where I Was Already Standing.

    I Didn’t Choose Digital Transformation. It Arrived Where I Was Already Standing.

    People ask me why I work in digital transformation, and the honest answer is uncomfortable.

    I didn’t pick it.

    When I started, the phrase didn’t exist. There was no category, no conference track, no consultancy practice with that name on the door. There were networks that had to stay up, and there was me, twenty-something, with a degree in electronic engineering from La Sapienza and no idea what I’d walked into.

    The field arrived later. It arrived exactly where I was already standing.

    What the word actually named

    For about fifteen years, I did work nobody called “transformation”. Migrations. Refreshes. Integrations between systems that were never designed to speak to each other. Contract transitions where one vendor left and another arrived and the network in between had to carry trains, calls, or water regardless.

    Then, sometime in the 2010s, all of it got a name.

    And the name attracted a crowd — strategy decks, maturity models, four-quadrant frameworks, people who could describe the destination beautifully and had never once been in a room at 3 a.m. deciding whether to roll back.

    That’s when I understood what I actually had. Not a specialism. A vantage point.

    I had watched the thing get named. I knew what the word was covering up.

    The gap that became the work

    Here’s what I repeatedly saw from inside.

    The strategy was almost never wrong. The transformation programmes I watched fail didn’t fail because someone chose the wrong architecture. They failed in the space between a decision and its consequences — the eighteen months where nobody owns the outcome, the handover fortnight nobody scheduled, the end-of-support hardware everyone agreed not to raise.

    Consultants who arrive at the start don’t see that space. They present, they leave, the deck gets approved.

    Operators who live in that space can’t name what they’re seeing. They experience it as bad luck, or bad management, or Tuesday.

    I ended up in the narrow band between the two. Long enough in operations to have felt it, close enough to procurement and vendor negotiation to see how the decision was made in the first place.

    That’s not a career I designed. It’s a position I noticed I was occupying, and then took seriously.

    Why I stayed when the exits were open

    There were easier options. Sales, and the compensation that comes with it. Pure management, further from the systems. Or the version of this field where you never touch anything real and never get blamed when it breaks.

    I stayed for one reason, and it isn’t nobility.

    The problems here are unsolved.

    Thirty years in, organisations still cannot answer the simplest question I can ask them: what did the delay actually cost? They can price the project. They cannot price the postponement. That gap has cost the clients I’ve worked with more than any technology decision I’ve ever watched them make.

    Nobody has solved that. Not the vendors, not the big four, not the frameworks.

    A field where the central problem is still open is a good place to spend a career. A field where everything works is a field that no longer needs you.

    What the answer really is

    So — why digital transformation?

    Because I was already in critical infrastructure when the word was invented, and I stayed close enough to the systems to watch what the word left out.

    Because the interesting part was never the technology. It was the eighteen months of silence between a decision and its bill.

    And because I’d rather work on the part nobody has figured out than on the part that already has a framework.

    That’s not a mission statement. It’s just where the work was.


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  • Thirty Years in Infrastructure ICT Taught Me One Career Rule. It Isn’t the One You Expect.

    Thirty Years in Infrastructure ICT Taught Me One Career Rule. It Isn’t the One You Expect.

    I was twenty-four when a man twice my age handed me a folder and said: “If this network stops, trains stop.”

    I laughed.

    He didn’t.

    That was the last time I found the sentence funny. Everything I’ve learned about surviving a career happened in the thirty years after it.

    Here’s the part nobody warns you about: I have outlived every technology I was hired for. The equipment I was trained on is scrap. The protocols I memorised are footnotes. The vendors I built my early reputation around have been merged, rebranded, or quietly discontinued.

    And I’m still here.

    Not because I’m brilliant. I’ve watched brilliant people get walked out of buildings.

    Because of one rule I didn’t understand until year fifteen.

    The rule you’re expecting

    You already know what you think I’m going to say.

    Keep learning. Reinvent yourself. Stay current.

    Every career article ends there. Learn the new thing. Get the certification. Adapt or die.

    It isn’t wrong.

    It’s just not the rule.

    I know engineers who did all of it. Certified in everything. First in the room on every new platform. Genuinely current, genuinely skilled.

    Some of them are consultants now. Not by choice.

    Because “stay current” is a treadmill with no finish line, and there is always someone younger running it faster and cheaper than you. If your only asset is knowing the newest thing, your value resets to zero every four years and you compete, forever, against people with more energy and fewer mortgages.

    That’s not a career.

    That’s a subscription you keep paying.

    The rule that actually held

    Here it is.

    Stay close to the systems that cannot be switched off.

    That’s it. That’s the whole thing.

    Not the newest system. Not the most exciting one. Not the one with the best conference talks and the nicest documentation.

    The one where consequence lives.

    The one where somebody, somewhere, cannot afford for it to stop.

    Trains. Water. Power. Emergency networks. Payment rails. Hospital systems. The unglamorous infrastructure that carries real weight and gets discussed only when it fails.

    Everything about my career that worked came from proximity to consequence. Everything that stalled came from drifting away from it.

    Why consequence compounds and novelty doesn’t

    Think about what actually happens when a system cannot be switched off.

    Nobody rips it out. They layer on top of it.

    Which means the knowledge of how it was built, why it was built that way, and what will break if you touch the wrong thing — that knowledge doesn’t expire.

    It compounds.

    I have sat in rooms where a decision worth millions turned on one person remembering why a link had been configured a certain way in 2009. Not a certification. A memory. A piece of context that existed in one head and nowhere else.

    That person is not replaceable by someone younger and cheaper.

    That person is not replaceable by a model, either, and I say that as someone who works with these tools every day. The tool can tell you what the configuration says. It cannot tell you which of the three people who signed off on it was lying about the timeline.

    Novelty knowledge depreciates. Consequence knowledge accrues interest.

    Most people spend their careers buying the depreciating asset.

    What this looks like in practice, and what it costs

    I want to be honest about the price, because most career advice sells you the upside and hides the bill.

    Staying close to consequence is not fun.

    It means the four-hour migration window at three in the morning, because that’s the only time the system can be touched. It means the maintenance contract handover nobody scheduled, where the outgoing vendor has stopped caring and the incoming one doesn’t have the passwords yet. It means 1,613 devices past end-of-support that everyone has agreed to not talk about, and being the one who counts them anyway.

    It means your LinkedIn will never look as exciting as the person doing generative AI pilots at a startup.

    It also means that when the reorganisation comes — and it always comes — the conversation about your role happens differently.

    I’ve been through more restructurings than I can reconstruct from memory. Every single time, the same pattern: the roles that got cut fastest were the ones furthest from consequence. Strategy functions with no operational surface. Innovation teams with impressive decks and no system anyone depended on.

    The people who ran the thing that couldn’t stop were never in the first three conversations.

    Sometimes we were in the fifth. But by then the panic had passed, and panic is what makes bad decisions about people.

    The trap inside the rule

    Now the part that took me another decade to learn, because the rule has a failure mode and I walked straight into it.

    Proximity to consequence makes you safe. It does not make you visible.

    I spent years believing the work would speak. That if the network held, someone upstairs would know why it held.

    They don’t. They can’t. A system that never fails produces no evidence of the effort keeping it up. That’s the cruel arithmetic of infrastructure: your best work is indistinguishable from nothing happening.

    So the rule has a second half, and without it the first half traps you.

    Stay close to consequence. Then translate it upward.

    Learn to say, in language a CFO understands, what the deferral actually costs. Not “these devices are end-of-support.” Instead: here is the failure probability, here is what four hours of downtime costs this business, here is the curve of what waiting another year does to both numbers.

    The day I learned to write that sentence, my career changed more than it had in the previous ten years of technical work.

    Not because the technical work stopped mattering. Because it finally became legible to the people making decisions about it.

    Most engineers never make this jump. They resent having to. I resented it too. I thought translation was politics, and politics was for people who couldn’t do the real work.

    I was wrong. Translation is the work. The system doesn’t just need to hold — someone has to fund it holding, and that decision is made in a room where nobody speaks your language.

    If you’re twenty years behind me

    Three things.

    Ask where the consequence sits. In your company, in your sector, find the system that cannot be switched off. It may not be the one with the budget or the attention. Go there anyway.

    Stop optimising for interesting. The most valuable position I ever held was, on paper, the least exciting one available. Boring compounds. Excitement resets.

    Build the sentence. Whatever domain you’re in, learn to state its risk in money and time to someone who will never understand its mechanics. If you can’t, you will spend your career being overruled by people who can.

    Thirty years in, that’s what I have.

    Not a technology. Not a certification. A habit of standing close to things that matter and being able to explain, in plain numbers, what it costs when nobody does.

    The trains still run.

    Most days, nobody notices.

    That’s the job.

  • Why a Digital Transformation Fail?

    Why a Digital Transformation Fail?

    And why does nobody audit the reasons, and everyone audit the budget?

    Digital Transformation rarely fails for technology inadequacies.

    And yet technology is usually the first thing everyone blames.

    Digital transformation has a technology problem.

    Just not the one you think.

    When a transformation fails, everyone looks for something technical to blame.

    The software was wrong.

    The integration was too complex.

    The vendor wasn’t good enough.

    The architecture wasn’t ready.

    It’s convenient.

    Because blaming technology is much easier than admitting the organisation never really changed.

    That’s where most digital transformations start dying.

    A director kicks off the project with a confident presentation.

    There’s energy in the room. Big promises. Tight deadlines.

    A few months later, that director has moved on.

    The platform eventually goes live.

    There are congratulations, emails, maybe even a small celebration.

    The dashboard says everything is green.

    Project completed.

    At least on paper.

    Because Monday morning arrives. And people quietly go back to doing exactly what they did before.

    The old spreadsheet comes back. The workaround comes back. The email someone wanted to eliminate comes back.

    The ten-year-old habit wins again.

    Not because people hate technology.

    Because nobody gave them a good enough reason to change.

    I’ve seen networks serving thousands of users struggle for reasons that had almost nothing to do with technology.

    The systems worked.

    The organisation around them didn’t.

    Nobody had seriously asked the people doing the job every day what they needed.

    Nobody had measured whether behaviour was actually changing.

    They measured deadlines.

    Budgets.

    Milestones.

    Go-live dates.

    Everything except the thing that mattered.

    Did people start working differently?

    That should be one of the most important questions in any digital transformation.

    Instead, it is often asked too late.

    Or never.

    Everyone can install new Technology.

    Transformation can’t.

    You have to change habits, incentives, processes, responsibilities and sometimes even power structures.

    That’s messy.

    You can’t neatly fit it into a project plan.

    And you certainly can’t fix it by buying another software licence.

    The unpleasant truth is this:

    Most digital transformations don’t fail when the technology stops working.

    They fail when the technology works — and the organisation keeps behaving exactly as before.

    Let’s stop auditing only the budget.

    And start auditing the change.

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