Artificial Intelligence – Phlow

The Things We Don’t Write Down

Fabiana — Tue, 26 Aug 2025 10:42:36 +0000

How Many Steps It Takes to Change a Light Bulb?

Nobody would consider using Post-Its an efficient way of keeping track of what someone knows. Imagine having an encyclopedia of Post its. Especially when those yellow little reminder lose their sticky properties, trying to jigsaw them in place would be utter madness.

Why? You’d think the only reply is because it’s plain mental to use such a system – which is true -; but there is also another, surprising, explanation.

It is also because, for the average person, a 2-steps process is the lowest bar that encourages adoption of any system, and using Post-its after they lost their stickiness becomes a multiple one. And especially at work, knowing this, it becomes vital. Crazy, uh?

In any case, that means the issue with using a Post-it system is not IF but WHENsomeone loses information.

For that reason, many companies think that today relying on DMSs (document management systems like ) to keep their documents in one place is the only solution to keep them free from knowledge loss and inefficiencies. But is it really true?

My Boss Knew

It happened on a Monday morning of a couple of years ago. I remember vividly because I needed to finish the Payroll, but I could not go on and my stress levels were particularly high that day.

I was hunched over my laptop, halfway through a task that should’ve taken me twenty minutes, but I couldn’t make it work. Two hours later, I was still stuck (and now silently cursing because I had to also work through my lunch break). I knew there was a way, but couldn’t put the finger on what it was, and I could not remember, for the life of me, what to search for.

I’d tried everything I could think of. Re-read the instructions on my notepad. Checked old emails. Even ran a couple of random searches in my shared drive — which, as usual, brought up 84 versions of the same document, none of them useful, then Slack. Nothing.

Frustrated, I leaned back and rubbed my eyes.

That’s when Fabiana — not me, but my former boss that shared the same name — walked past. She glanced at my screen and said, almost casually: “Oh yeah, I know what it is. I’ll show you quickly. Just flip the order, otherwise the system won’t accept it”.

I blinked. “Wait, what?” I felt like a prized idiot. Just like that, I had wasted 2 hours of my morning searching for something that was right there in front of me, only I didn’t know it was there.

We’ve all heard it. I had just witnessed it. There is someone who knows. My boss knew because she’d been working for years in that department, cursing before me in my position and developed a workaround to make it work.

The Quick Fix

Here’s the problem: That “quick” fix never made it anywhere else. It maybe lived in some Slack DM that I could not find. Or worse, maybe it lived only in Fabiana’s head. Definitively not in any official document.

Multiply that by 100 people across a company, and suddenly you’ve got a giant invisible cost:

Hours spent rediscovering the same solutions
Colleagues frustrated because they know the answer is out there, but can’t find it because they do not know where to look for (or what) and who to ask.

It’s not written anywhere official, so you will not find it in any DMS.

It is not malicious — it’s just how humans share knowledge. Informal, fast, person-to-person. But when those people are not present, or when you’re not in the room for the “real quick” lesson, the trail goes cold.

I already shared this memory in a previous article, of that time I had to pick up the pieces of an entire department because our boss had been laid off just days before my return from holidays. Every day I’d run into those micro-gaps: “Oh, she must have dealt with that situation…” – or giant ones – like when a new member in our team got hired and nobody knew about it. The team kept going, but it felt like learning to walk with one shoe missing. Slow, awkward, and unnecessarily painful.

The truth is: “Let me show you quickly” moments are gold. But only if they don’t disappear into thin air.

Imagine if those little gems of know-how naturally became part of the company’s toolkit. Imagine if everyone had immediate, clear visibility of who knows what, without interrupting them every time.

That’s not just efficiency. That’s how companies protect themselves from the hidden costs nobody puts on the balance sheet.

So next time someone says “Let me show you real quick” — ask yourself: how do we make sure this lesson doesn’t vanish?

@Phlow we can help. Book a free demo today.

#FutureOfWork #Collaboration #KnowledgeManagement #HRTech #OrganisationalCulture #DigitalTransformation #EmployeeExperience #Leadership #AIForBusiness #WorkplaceInnovation #phlow

Where HR, R&D, and IT All Care About the Same Thing (But Don’t Know It)

Fabiana — Fri, 22 Aug 2025 08:54:52 +0000

At first glance, HR, R&D, and IT seem to live in entirely different worlds. One is about people, another about innovation, and the third about systems.

Their KPIs, budgets, and daily challenges often don’t overlap. But dig a little deeper, and you’ll discover they’re all chasing the same goal — they just don’t always realise it.

So, what’s the common thread? A thriving, adaptive, future-ready organisation.

That’s it. Whether it’s HR investing in culture and engagement, R&D pushing innovation, or IT enabling seamless systems — they’re all working toward the same destination: an organisation that can grow, evolve, and outperform by design.

HR: Shaping the Human Side of Change

HR often gets boxed into compliance, policies, or recruitment — but the real impact of HR lies in shaping how people work and feel at work.

Culture, collaboration, psychological safety, and continuous learning are the fuel for any innovative environment. If you don’t take care of your people, as a company your future is hampered.

When HR focuses on enabling high-performing, connected teams, it’s laying the foundation for both R&D creativity and IT agility — even if that’s not always immediately visible.

R&D: The Engine of Innovation

R&D exists to push boundaries, explore new ideas, and create what’s next. But innovation requires the right environment to actually happen: a place where failing is safe, knowledge is shared, and people are empowered to experiment.

What fuels that environment? You guessed it — culture and systems. And that’s exactly where HR and IT come in.

IT: The Enabler Behind the Scenes

IT builds the infrastructureand tools that power modern work — from collaboration platforms to data pipelines to AI integrations.

But we all know that tech alone isn’t transformative. How many times the solution proposed to C-levels has been just “to give teams a new piece of software” to solve issues?

What makes IT powerful is when it supports how people actually work, learn, and innovate. In other words, IT is most successful when it’s aligned with HR’s insights about people to facilitate adoption and smooth possible frictions, and R&D’s need for speed and flexibility.

They’re All Solving the Same Problem — From Different Angles

At their core, HR, R&D, and IT all want the same things:

Attract and retain great talent
Keep people engaged and productive
Stay ahead of the curve
Create solutions that matter — faster
Build an organisation that adapts instead of reacting

The challenge? These teams don’t always speak the same language or sit at the same table and they often don’t use the same software. The result is knowledge becomes siloed and nobody knows who knows what and who to ask for it.

But when they do — magic happens. Revenue flies.

Bringing Them Together

Here’s what it looks like when HR, R&D, and IT actually align:

HR designs learning programs based on real tech needs from IT and innovation gaps from R&D
IT engages with systems that support agile, cross-functional collaboration and knowledge sharing
R&D co-creates with both departments to ensure innovation is supported by people and through tech
And all three are looped into strategic decisions — not just functional silos

Different Hats, Shared Goals

In the end, HR, R&D, and IT are three sides of the same triangle — each essential, each bringing a different lens, but all aiming toward resilience, innovation, and impact.

The more they collaborate, the more they realise they’ve been caring about the same thing all along: building a better setup for the business — and the people in it.

Phlowcan help bringing them together because it’s a system that:

Helps companies organise and easily find everything they know
Connectsteams across departments Prevents knowledge loss — expertise stays even when people leave
Saves time— find answers fast, no more duplication
Builds a learning culture — continuous improvement and sharing
Integrates seamlessly with existing systems DMSs (e.g. Google Drive)

Sounds too good to be true? You shouldn’t take just our word for it.

#CrossFunctionalCollaboration #HRStrategy #InnovationAtWork #KnowledgeSharing #PeopleAndCulture #BreakingSilos #DigitalTransformation #FutureOfWork #RAndD #ITStrategy #knowldegeManagement #phlow

One system, one knowledge to connect them all

Fabiana — Fri, 22 Aug 2025 08:47:50 +0000

If you recognised the loose reference to the “Lord of the Rings”, it means you’re a little bit of a nerd like me. And yes, it’s now cool to be one, not like in the 80s…

Despite me giving away my age, I am projected to the future.

My father, being always so open to embrace technology with curiosity, paved the way for me. In fact, I do believe that technology is a great tool to make our life easier, especially at work. Because while having powered AI washing machine can be a cool gimmick, having a powered AI system for your company is a completely different kettle of fish!

While it can be frustrating waiting 3 hours for the washing to finish, it’s nothing compared to the frustration I experienced in companies when it came to failing to deal with shared information, documents, and knowledge.

Actually, let me share a story with you.

Once Upon A Time (A Very Personal Story)

Dinosaur as I am, it was around 15 years ago, when I got to work for an HR departmentcomposed by only 3 people to soon find out that my boss was the only one with the actual knowledge, because both physical and digital information was locked away in her office.

Each of us saved our work on our individual PCs and did not even had shared folders within the team (yes, at the time it was possible… , come on, I am not that old!). You can just imagine the frustration when one of us was on leave! it was very hard to work with tight deadlines or to have peaceful holidaysfor what matters.

Privacy in HR is a must, of course, but because our information was not shared even within the department, our workflow was hampered by so many obstacles! After a missing information issue yet again, my colleagues and I insisted to create shared folders, and things did go better for a while, until they didn’t.

When we were going through a 3 month hiring campaign because the company was scaling up, our challenges became very visible also outside our department. Soon enough, our CEO started to complain about the efficiencyand speed of our office because we could not keep up with the demands of the growth of the company.

The Missing Boss

Had we had a system to help us navigate that moment would have been a dream. And probably my boss would have not been laid off. The chaosthat followed her departure is hard to describe.

She had been the HR Director for over 10 years, so you can easily imagine the amount of information that was lost when she – literally – disappeared. There had been no handover, no password to her computer, no access to her emails.

I remember going back to work from my summer leave to find the department in tatters. It happened 15 years ago, but it’s still fresh in my memory. It was so bad that I had to hire my own boss!

The Importance of the Company Culture (and of the Technology)

When the company culture does not foster collaboration and HR is seen as a cost center rather than a partner, change – which is inevitable – is not managed, and getting things right feels like an impossible task. And the company inevitably falls behind on competition, employee attraction and retention because it does not look that attractiveanymore.

Let’s not forget thatno employee – or department – is an island.

That is why we created Phlow.

It’s an AI powered system that fosters collaboration organically because it allows you to share knowledge, set a role-based permission for sensitive information, map skills and expertise to make the information flow within the company and create a structure to help the hiring process, the career development of the employees and the creation of teamsfor particular projects.

Talk to us today. We can help.

https://phlow.com

#KnowledgeManagement #FutureOfWork #Collaboration #DigitalTransformation #AI #HRTech #EmployeeExperience #OrganisationalCulture #Leadership #WorkplaceInnovation #DigitalTransformation #phlow

Human in the Loop: Safeguarding Knowledge in the Age of Algorithmic Echoes

carlo — Tue, 19 Aug 2025 13:27:33 +0000

Every industry is racing to prove its “AI-powered” credibility. Press releases repeat the same phrases: “intelligent,” “seamless,” “reduce burden.” The sameness isn’t accidental, it’s the result of algorithmically optimised language, a promotional echo chamber where machine-written narratives begin to outweigh the truth they were meant to describe.

This isn’t just a marketing problem. It’s a knowledge problem. And it cuts to the core of why human involvement in knowledge management has never been more critical.

When Knowledge Becomes Noise

Organisations today face the same vulnerability that cybersecurity vendors revealed: when machines generate both the claims and the evidence, verification collapses.

Documents are AI-summarised and re-summarised until their origin is lost.
Reports circulate with no human anchor, their authority based on formatting, not substance.
Lessons learned blur into lessons hallucinated, repeated across tools until no one can recall the original source.

In this environment, information doesn’t just get lost, it gets contaminated. The danger is not absence of data, but the inability to distinguish between human insight and algorithmic fiction.

Why the Human Matters

Machines can generate documents, summaries, taxonomies, even “insights.” But only humans can:

Provide context: Was this decision made under pressure, or was it strategic?
Carry intent: Why did we choose this path, and what trade-offs were accepted?
Anchor trust: Who can vouch for the validity of this knowledge, and who lived its consequences?

Without human validation, knowledge systems risk becoming self-referential echo chambers: algorithms reinforcing algorithms until the enterprise loses its ability to remember what was real.

Phlow’s Approach: Human in the Loop by Design

At Phlow, we believe AI should amplify human intelligence, not overwrite it. That’s why the Human-in-the-Loop is not an afterthought but the foundation.

Tacit to Explicit: Phlow surfaces tacit knowledge from people, conversations, and context, then makes it explicit and reusable. Machines alone cannot do this; it requires human articulation.
Anchored Attribution: Every piece of knowledge is linked back to its human source. Not just “a document says this,” but “this insight comes from Anna, who solved it last quarter.”
Contextual Graphs: Knowledge is not stored as flat files or summaries, but as relationships, between people, projects, and decisions, ensuring that meaning is preserved beyond machine-generated text.
Transparency over Automation: Phlow uses AI to structure, connect, and retrieve knowledge, but the final step always brings the human back in. The machine organises; the human validates.

Why This Matters Now

We are entering a phase where enterprises risk outsourcing not just their work but their memory to machines. If the people who own the knowledge are erased from the loop, enterprises will face the same crisis as cybersecurity: unable to distinguish between capability and narrative.

Phlow rejects that future. Our premise is simple:

Machines should help us think better, not think for us.
Knowledge should be anchored in people, not just in documents.
Trust should be earned through transparency, not manufactured through algorithms.

The Future of Knowledge Requires Us

Borges warned of libraries filled with infinite, indistinguishable books. Today, enterprises risk building those libraries themselves, AI-generated, searchable, but devoid of meaning. The only safeguard is to keep humans embedded in the process.

That’s the real promise of Human-in-the-Loop Knowledge Management: not to slow down AI, but to ensure that what we keep, share, and reuse remains true to its origin.

Because knowledge without humans isn’t knowledge at all, it’s just the noise knowledge management it trying to remove.