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We do not believe in one-size-fits-all solutions. We combine Agile principles with a systemic approach to organisations — because transparency, short feedback loops, and continuous adaptation are the only honest way to navigate complexity.
Start from real requirements
We begin with your goals, constraints, and existing ways of working — mapping knowledge needs, identifying bottlenecks, and defining clear acceptance criteria for every deliverable. Technology follows people, not the other way around.
Build in short learning cycles
We work in sprints, with defined goals, regular reviews, and a backlog that evolves with the project. Teams test ideas early, adapt often, and stay connected to what actually works in practice — avoiding the roadmap trap of planning too far ahead.
Support adoption and change
We do not stop at delivery. Through documentation, coaching, piloting, and change management, we support teams in integrating new tools and practices — ensuring that what we build together is adopted with confidence and sustained over time.
Quality and accountability
AI usage with clear guidelines
We use AI where it creates clear value — with internal guidelines, human oversight, and full responsibility for the final outcome.
AI supports the work
We use AI tools to accelerate tasks such as drafting, coding, testing, extraction, summarisation, and structured content workflows — where they can meaningfully improve speed and consistency.
People set the direction
Our team defines the architecture, project context, data boundaries, and quality expectations. AI supports the process — it does not replace judgment, responsibility, or domain expertise.
Guidelines and review stay in place
We work with internal usage guidelines for AI-assisted delivery. Everything produced with AI is reviewed, refined, and validated by experienced professionals before it reaches a client.
Whenever possible, software developed by us is released under open source licenses (e.g. AGPLv3, MIT), and project outputs such as reports or learning materials may be shared under the most appropriate Creative Commons license.
We rely on open source tools in our daily work, both to run our own operations and to build practical, transparent solutions for the organizations we support.
---
title: 'How we work | OneOffTech'
description: 'How OneOff-Tech works: an iterative, context-sensitive process combining knowledge management expertise, responsible AI usage, and open-source tools.'
---
# We design with your context in mind
Human-guided, AI-boosted
We help organizations shape knowledge and technology solutions through an open, iterative, and context-sensitive process grounded in real operational needs.
## How we work
We do not believe in one-size-fits-all solutions. Our role is to connect technical possibilities with the realities of your organization so that knowledge systems, workflows, and AI-supported tools are useful, trusted, and sustainable.
### Start from real requirements
We begin with your goals, constraints, and existing ways of working. That means understanding what knowledge matters, where current bottlenecks are, and where technology can support people without adding unnecessary complexity.
### Build in short learning cycles
We work iteratively so teams can test ideas early, review progress often, and adapt as the project evolves. This helps reduce risk, improve quality, and keep decisions connected to what works in practice.
### Support adoption and change
We do not stop at delivery. We help teams integrate new tools and practices through documentation, coaching, piloting, and change management so the work can be adopted with confidence.
## AI usage with clear guidelines
Quality and accountability
We use AI where it creates clear value, but we do it with internal guidelines, human oversight, and responsibility for the final outcome.
### AI supports the work
We use AI tools to accelerate tasks such as drafting, coding, testing, extraction, summarization, and structured content workflows when they can improve speed and consistency.
### People set the direction
Our team defines the architecture, project context, data boundaries, and quality expectations. AI supports the process, but it does not replace judgment, responsibility, or domain understanding.
### Guidelines and review stay in place
We work with internal usage guidelines for AI-assisted delivery, and everything produced with AI is reviewed, refined, and validated by experienced professionals before it reaches a client.
[Check the AI usage guidelines](/guidelines/ai)
## Open, practical, and context-aware
Whenever possible, software developed by us is released under open source licenses (e.g. AGPLv3, MIT), and project outputs such as reports or learning materials may be shared under the most appropriate Creative Commons license. This reflects our commitment to the Principles for Digital Development.
## What we use
We rely on open source tools in our daily work, both to run our own operations and to build practical, transparent solutions for the organizations we support.
- **Rocket.Chat**: Our asynchronous messaging application for spontaneous chats, discussions, and reminders.
- **Nextcloud**: Our go-to application to create, store, and share documents.
- **GitLab Community Edition**: The platform we use to manage software delivery, agile work, and knowledge management projects.
**Want help connecting this approach to your own context?**
- Explain how OneOffTech would approach my organization's knowledge or AI challenge
- Help me understand whether we need advisory support, a hosted solution, or on-premise deployment
- Read [OneOffTech AI usage guidelines](/guidelines/ai)
- Draft a short inquiry email based on my team's goals, constraints, and current workflow
**Navigation**
- [Blog](https://oneofftech.de/blog)
- [Our projects](https://oneofftech.de/our-projects)
- [How we work](https://oneofftech.de/our-approach)
- [Open source](https://oneofftech.de/open-source)
- [Who we are](https://oneofftech.de/about-us)
This content was copied from https://oneofftech.de/our-approach