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Insights

Notes on knowledge, memory and the practical side of company AI.

Writing from the team building Paměť: how companies lose what they know, why search so rarely finds it, and what changes when a company can be asked a question.

Coming soonSeven pieces in preparation. Nothing is published yet.

Featured

The piece we are writing first.

Every conversation with a leadership team eventually returns to the same question: what does it cost when knowledge walks out of the door? This is our attempt at an honest answer.

Knowledge retention8 min read

The Hidden Cost of Knowledge Loss

Companies rarely lose knowledge in one dramatic event. It leaves quietly, one resignation and one forgotten folder at a time, and the cost never appears on an invoice.

Coming soonPublication date to be announced.

What it will cover

  1. 01Where knowledge actually goes when someone leaves, and why the CRM does not catch it.
  2. 02The interruption tax: what it costs when six people ask the same colleague the same question.
  3. 03How to keep what the company has learned, even as the people who learned it move on.

Knowledge shouldn’t leave when people do.

In preparation

Six more pieces, each starting from a question we keep hearing.

Not a content calendar built from keywords. Each of these began as something a managing director, a sales lead or a new colleague actually asked.

Topics covered

  • Knowledge retention
  • Search
  • Product
  • AI
  • Europe
  • Onboarding
  • Knowledge retention6 min read

    What Happens When the Person Who Knows Everything Leaves?

    Every company has one: the colleague who remembers which client insisted on what, and why. What actually happens in the months after they hand in their notice, and what could have been kept.

    Coming soon
  • Search5 min read

    Why Company Search Is Broken

    Search finds documents. It does not find the reason a deal fell through, because that reason is spread across an email, a meeting note and a CRM entry that never mention each other.

    Coming soon
  • Product7 min read

    From Document Storage to Company Memory

    Twenty years of shared drives have made companies excellent at storing information and poor at recalling it. The difference between a filing system and a memory, and why teams need the second.

    Coming soon
  • AI7 min read

    How AI Can Preserve Institutional Knowledge

    Most of what a company knows was never written down as a fact; it is implicit in decisions, threads and revisions. How grounded AI can make that history answerable, and where its limits are.

    Coming soon
  • Europe6 min read

    The European Approach to Private Company AI

    Private company knowledge is among the most sensitive data a business holds. Why data ownership, permissions and EU hosting belong at the start of the design, not in an appendix.

    Coming soon
  • Onboarding5 min read

    Why Your Next Employee Shouldn’t Have to Start From Zero

    A new hire inherits a laptop, an inbox and a login; the context behind them leaves with whoever had the desk before. What the first month could look like if the company’s history were one question away.

    Coming soon

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  • Occasional, not frequent

    You hear from us when a piece is actually published, not on a schedule we have to fill.

  • Written by the team

    By the engineers and product people building Paměť, in plain language.

  • One message, and you decide

    Reply to say stop at any point and you will not hear from us again.

What we write about

Three themes, one question underneath them.

What does your company already know, and how do its people get at it? Everything we publish sits somewhere inside that answer.

Knowledge & memory

How companies remember, and how they forget

Where institutional knowledge actually lives, how it leaks through resignations and reorganisations, and what the departure of one person really removes from an organisation.

Search & grounding

Why finding a file is not the same as finding an answer

What grounding means in practice, how to tell a cited answer from a fluent guess, and why the useful answer is usually spread across several records.

Company AI in Europe

Practical AI on private company data

Permissions, data ownership, EU hosting and multilingual teams. What a pilot looks like, what it should not promise, and the questions worth asking any vendor.

How we write

The rules we hold Paměť to apply to what we publish as well.

  • Plain language and short sentences.
  • No invented statistics, no invented customer stories.
  • Examples come from a fictional demo workspace, never from a client.
  • When we do not know, we say so.

Rather see it than read about it?

Book a demo and we will show Paměť answering questions on a demo workspace, then talk about what it could do with your company's records.

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  • EU data storage
  • GDPR-conscious
  • Access-controlled
  • Enterprise-ready