ānbāsan - work with | in context

Work smarter with Context Management

Context Management helps users connect information effortlessly and meaningfully instead of merely storing it. Content, tasks and knowledge become easier to understand, easier to find and directly usable in everyday work — including with AI.

A context layer between apps, users and AI

Notes

Tasks

Files

Calendar

...

Context

Auto-assign & clustering

Usable directly by you · and by AI via MCP

// What makes ānbāsan special

Context-based working.
In and with context.

In many digital work environments, information is scattered across different apps: notes, tasks, documents and communication exist side by side. What's missing is an immediately usable connection between them.

This is exactly where ānbāsan comes in – content isn't treated in isolation but linked together, creating context that is usable right away.

See information in context

We also organize content by its relationships. This reduces search effort and helps turn fragmented data into a clear, comprehensive picture. Dynamic structures replace static folders.

Search less, understand more

Relevant information is available right where it's needed – without detours and without losing context. That saves working time.

Context supports decisions

When data, notes and tasks are connected, it's easier to form a complete picture, back up decisions and derive next steps.

// Conzept: CDW

Context-Driven Work / CDW

CDW is the conceptual model behind ānbāsan: context doesn't arise as an extra task but organically from your normal work. Every email, note and task is automatically assigned to the right context – without users creating folders, tagging data or preparing data rooms.

Classic knowledge management

Effort that keeps growing

Create folders, tags and structures by hand

A separate data room for every AI application

Context reassembled before every request

Effort grows with every new tool

Context-driven working

Effort that stays constant

Context grows organically with every action

One context, any number of AI applications

Every query is automatically connected to the right context

Effort stays constant – regardless of the number of tools

// Technology: CM

Context-Manager / CM: the technology behind CDW

CDW defines the model; the Context Manager makes it work. It connects your data sources, automatically recognizes relationships, and uses Auto-Assign to place every new piece of information into the right context. The Context Manager continuously organizes related content into self-contained context clusters, creating the foundation for every AI application and interaction.

// Sources

Notes

Tasks

Files

Calendar

...

// Context Manager

Auto-assign & clustering

Detects relationships and assigns automatically

// Topics

Project

Concept

...

// Ecosystem: CaaS

Context as a Service / CaaS

The Context Manager makes your context available not only to you but also to your AI – as a context layer (CL) via MCP servers. MCP (Model Context Protocol) is an open standard through which AI applications access external data in a controlled way. ānbāsan uses it to provide exactly the portion of your context that matches your question – no more and no less. That is Context as a Service.

No data room needed

Any MCP-compatible AI accesses the context directly. Nothing needs to be uploaded or prepared.

Automatically the Right Slice of Context

Every question can be placed in the matching context. The AI receives only what is truly relevant – not everything that might theoretically fit.

Fewer tokens, fewer detours

Less irrelevant data in the prompt lowers input token consumption. Precise context leads to the right answer faster – with fewer follow-up questions and fewer output tokens.

// More about

Working with context

There are two essential areas for working with context.

Context Management

The intelligent management of all information that belongs together – automatically detected, semantically linked and freely structurable.

ānbāsan collects data from your tools (emails, notes, tasks …), detects relationships automatically and lets you link everything however you prefer.

Example: Open task → ānbāsan loads all related emails, notes, and topics. You can restructure, link, and organize everything as a parent topic or sub-element as you like.

Context Engineering

The targeted construction of data sets specifically for AI – for smart buttons, in-context AI chats and with automatic linking.

The context isn't just there – it's structured and directly usable. AI receives everything it needs to complete tasks quickly and precisely, according to your wishes.

Example: The "Write reply" button: AI uses context (customer, project, previous offers, requirements) and writes the draft. With the AI chat, you can ask questions and continue working within that context – everything remains contextualized and linked.

With a shared context, you and your AI work in sync. You both have the same level of knowledge – the AI completes tasks exactly as you want. Results that now precisely meet your expectations.

// Implementation

ānbāsan's core features

Beyond just apps and data – this is how the full potential of your data unfolds. Because the whole is more than the sum of its parts.

Organize data as context

Automatically or as you specify.

Connect external systems

Automatically create new context from data

Automatically extend context with new data

Get the right context suggested for your data

Manage context yourself – always in full control

The app helps you recognize, group and manage related content. Data is sorted automatically and can be adjusted manually when needed – saving time and keeping things clear.

Work in and with context

Every piece of information has its own context you can work in directly, without detours.

Context-driven knowledge base

Navigate within context – find things fast, switch less

Add or remove elements – managed automatically by the system

Any structure – however deep, parent or child

Always in full control

Different content types are brought together, linked and managed in a shared context. This makes data relationships systematically usable – for your workflow and for your AI, which accesses the same context.

Mit KI im Kontext

The AI accesses the same context you do – and works right inside it.

Work freely in and with the context

Insert new elements into the context

Have smart buttons complete tasks on your instruction

Transparency – everything stays traceable

Always in full control

The AI supports you in chat and with tasks while you keep the overview in context at all times. When the AI creates a note or email, it appears directly as context in the chat – and you continue seamlessly.

MCP-Server & Custom Connectors

Claude

ChatGPT

More to come ...

Data queries & workflow triggers

Document operations

System integrations

Connect AI tools effortlessly

Seamless integration of Context Management with AI tools and services – via MCP servers and custom connectors.

ānbāsan supplies AI assistants with the information they need to deliver more precise and more relevant results. MCP provides a flexible foundation for data queries, workflow triggers, document operations and system integrations, which can be extended via custom connectors.

Connect to Claude via a custom connector

Missing a specific capability? Get in touch – we're happy to help.

Interested in a live demo or have questions about ānbāsan?

Ready for a live demo, or have questions about ānbāsan? Get in touch with us now! Or if you’d like to learn more first, read on to get to know more on use cases, connectors, and more.

// Before · After

Users & use cases

Recognize yourself here? These are typical problems we solve – whether you're an AI power user, an AI user, or simply want to spend less time maintaining data and searching for information.

Your problem

What it costs you

Our solution for you

Organizing & maintaining data

Time for organization

Self-Organizing through CDWOrganic data organization, auto-suggest & clusters

Finding relevant data

Time spent searching

Navigation within contextFind things faster, without long searches

Gathering context for AI

Time preparing context

Provide contextDirectly via MCP, no data room

Inaccurate Context

Token costs

Matching contextFewer input and output tokens

// Setup

Getting started is simple

Just 4 steps. ānbāsan can be introduced without changing your existing processes.

Register & connect data

Connect apps: Microsoft 365, etc. via OAuth – secure and simple. From now on, ānbāsan syncs your data automatically.

Set up context

To start, we organize everything according to your preferences – free, hierarchy-free, linkable however you like. And most of it automatically.

Connect with AI

We connect the app to your AI tools via custom connectors. Through MCP they communicate freely with ānbāsan.

Work with context intelligence

Smart buttons, AI chat, context navigation. One click – and the AI has access to the entire relevant context. From then on, the context organizes itself.

// Data sources

Connectors

Microsoft 365

Email, calendar, SharePoint, OneDrive, ToDo, OneNote.

Available

Google Workspace and others.

Planned

Your tool?

APIs + webhooks can be set up flexibly.

On request

More to come soon: further integrations are planned. Interested in a specific tool? Write to us: contact@anbasan.com

// Contact

Ready for the next step?

Live demo, questions or want to dive deeper? Get in touch!

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