At Protogen Corp, reviewing a propulsion safety report led to a familiar frustration. The document was solid, but it didn’t lead anywhere. The team knew that the knowledge existed in other places, such as past discussions, maintenance notes, and expert contributions, but none of it was connected. Like many companies, Protogen had no shortage of information. What it lacked was a system to reveal the relationships between documents and the people behind them.

That’s where Phlow changed the experience. By automatically surfacing related content and identifying relevant experts, Phlow transformed a single report into a gateway to the broader knowledge and context surrounding it.

Context

When Protogen Corp began reviewing their propulsion safety protocols, one thing became clear: the knowledge wasn’t missing, it was just buried. A document titled “Innovations in Propulsion Safety and Maintenance” triggered a realisation.

We’d seen this report before — but we didn’t know what else it was connected to. Or who to talk to.

Like many companies, Protogen had thousands of documents scattered across teams. Expertise existed, but it was invisible, hidden in file authorship or forgotten email chains. Decisions were delayed not for lack of information, but for lack of connection.

The Challenge

  • Teams didn’t know what else they should be reading.
  • Nobody was sure who had worked on similar problems.
  • Collaboration depended on knowing who to ask, or what to look for — and neither was clear.

The report was good. But it didn’t lead us anywhere.

What Phlow Did

When they opened that same report in Phlow, the experience was different:

Underneath the document, a curated list of related content surfaced, not because someone manually linked it, but because Phlow recognised shared topics, timelines, and intent.

  • Prior maintenance data
  • Internal memos on engineering challenges
  • Even field incident logs from other teams

Alongside the content, Phlow also surfaced expert profiles, people with deep experience in similar areas:

  • Dr. Marcus Hawke from Safety Analytics
  • Dr. Helena Ortiz from Maintenance Systems
  • Even archived work from Dr. Anthony Dresden, whose input had quietly shaped the protocol years ago

One click revealed their past contributions: reports, forum answers, experiment notes, all still active and discoverable.

It’s like having a map to knowledge. And a guide to the people who made it.

Outcome

  • Teams no longer asked, “Who should I talk to?”, they just followed the thread.
  • New hires ramped up faster by seeing who knew what, and where to start.
  • Collaboration became proactive, not reactive.

When Protogen prepared the next version of the propulsion protocol, they had:

  • Cross-team inputs gathered in hours, not weeks
  • Experts looped in without needing introductions
  • Full traceability on how decisions were shaped

This is what we always wanted from a knowledge system — not storage, but direction.

Why This Matters

Phlow doesn’t just store documents. It understands them, and connects them to the people behind them. That means faster collaboration, fewer silos, and smarter decisions made with confidence.

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