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The Ghosts of Workflows Past

Nostalgia meets innovation: A cautionary tale about manual workflows vs. AI automation in modern business.

May 5, 20254 min read

If I had then what I have now…

A nightmare from Julia's professional past showed up this week — unprompted. The kind you don't keep to yourself. We figured if it haunted us, it might haunt you too. So here it is:

The other night, I was visited by a ghost.
Not the sheet-over-the-head kind. This one wore a sensible Patagonia vest, held a heavily marked-up printout in one hand, and a half-finished iced coffee in the other — probably his third of the day. He looked just like my old managing director.

The ghost said nothing — just handed me the deck.
And suddenly, I was back there:
Cranking through changes in the middle of the night.
Toggling between PowerPoint and Excel like my life depended on it.
Praying the charts wouldn't break.
Texting Rhonda at the print shop at an ungodly hour to fire up the laminator and keep the binder hot.

This haunting wasn't supernatural.
It was muscle memory.

This ghost didn't say a word — but he brought me straight back to my old workflows.

Scene One: The Print Shop Years

We land in 2013. I'm fresh in my finance career.
It's 2:00 AM, and I'm standing in the copy center, my laptop overheating, my eyes bloodshot, waiting for Rhonda to finish binding yet another stack of investor pitch decks. (And yes, for visual reference, I am wearing an ill-fitting pencil skirt.)

Rhonda, the night shift MVP and my personal savior, knew how to coax life out of jammed laminators.

Everything was manual.

  • Performance data was copy-pasted into Excel, updated line-by-line, double-checked against PDFs and backup files.
  • Boilerplate responses to RFPs were stored in a 400-page Word document that had been edited by at least seven different people across three calendar years.
  • Even updating team headshots meant digging through folders, resizing JPEGs, and nudging boxes in PowerPoint like you were defusing a bomb.

PowerPoint was our battlefield, and the only automation we had was… hope.

Scene Two: Startup Déjà Vu

The ghost fast-forwards a few years.
We've moved into tech, working at a startup, now leading marketing and doing whatever miscellaneous tasks the company needed me to do to stay afloat.

Different role. Same deal.

Each time we targeted a new customer segment, the cycle began again:
Create new messaging. Design a new landing page. Write a new email flow. Spin up new sales collateral. Post something on social media in the hopes it goes viral.

Everything took time.
Everything had friction.
We weren't building on top of our work. We were rebuilding from scratch — every single time.
It wasn't scaling. It was survival.

Scene Three: What Could've Been

And then the ghost shows a final image:
Not a memory, but an alternate reality.
What if I had then what I have now?

Suddenly, things look very different.

RFP responses pull instantly from a structured knowledge base.
Decks are updated with live data, no manual touch required.
Email flows are generated based on intent signals, tailored to each customer.
Landing pages spin up in minutes — and they're good.
Personalized sales messages are A/B tested at scale, written by a machine that never burns out.

What once took weeks now takes minutes.
What once needed Rhonda, caffeine, and panic now just… runs.

The Point of the Haunting

We rarely realize how inefficient our systems are while we're still stuck inside them.
Only in hindsight — or with the benefit of new tools — do we see how much time we were wasting.

And that's the thing:

AI isn't a novelty. It's a shift in how we work, scale, and operate.

So here's your haunting:
Take a hard look at your day-to-day.
If you're still formatting slides manually, repackaging messaging from scratch, and working late to clean up spreadsheets…

Then maybe you're still living with the Ghosts of Workflows Past.

And maybe — just maybe — it's time to burn some sage and let them go.

Frequently Asked Questions

If you're manually copying data between spreadsheets, working late hours to format presentations, or spending whole days creating what could be repeatable processes, your workflow is likely crying out for AI automation. The key warning signs include repetitive tasks taking hours of human time, inconsistencies in output quality, and difficulty scaling operations without hiring more people.
Based on real experiences, AI automation can reduce task completion times by up to 90%. Tasks that once took weeks (like creating RFP responses or updating client presentations) can now be completed in minutes. The biggest time savings come from eliminating manual data entry, automated document generation, and streamlining approval processes that previously required multiple rounds of human review.
Actually, AI automation has become increasingly accessible for small businesses in 2025. Many AI tools now offer affordable monthly plans starting under $100, and the time savings quickly offset costs. The real expense is continuing to do things manually - the cost of employee hours spent on repetitive tasks far exceeds the investment in automation tools.
AI automation is designed to augment human capabilities, not replace them entirely. While AI can handle repetitive tasks, data processing, and even content generation, human judgment is still needed for strategic decisions, relationship building, and creative problem-solving. The goal is to free humans from tedious work so they can focus on higher-value activities.
Start by identifying your most time-consuming repetitive tasks - document it for a week to see where hours are being lost. Then research AI tools specific to those pain points (there are specialized tools for everything from email management to financial reporting). Begin with one pilot project rather than overhauling everything at once. Many businesses find success starting with automated document generation or data processing before moving to more complex integrations.