Questions, answered

awork AI is a standalone AI platform for companies across all industries. It turns AI from an individual tool into an integral part of everyday work across the entire company. Teams share AI chat, agents, reusable skills and workflows. This means knowledge is available to everyone rather than remaining with individuals.

The AI platform is also designed for companies without a dedicated team of AI specialists: it makes powerful AI accessible to people without specialist technical knowledge.

A standalone AI chat helps individuals with individual tasks. awork AI, by contrast, embeds AI into work processes across the entire company.

‍ Teams build recurring processes with agents, skills and workflows, share them and develop them further. Instructions, approaches and quality criteria are defined once and made available to everyone, rather than being rewritten for every request. This turns AI from a personal aid into an integral part of collaboration across the company.

Yes. Langdock and awork AI are AI platforms for businesses that want to use AI collaboratively within a team. Among other things, both offer access to various AI models and the option to share agents.

awork AI focuses on making it easy to get started: teams can begin with pre-built agents, create their own agents and skills for recurring tasks, and share tried-and-tested solutions across the organisation. The aim is to make AI part of everyday working life, even without specialist technical knowledge or a complex consultancy project.

Yes. awork AI is the alternative for companies that want to embed AI throughout the organisation, rather than make it available only to individual employees.

The focus is on integrating AI into work processes, with shared agents, reusable skills and workflows that teams build and develop for their recurring tasks.

awork AI works with the most common AI models, so you can use the right model for each task without needing a new licence every time.

awork AI offers a range of common AI models, including OpenAI's GPT models, Google's Gemini and Anthropic's Claude.

This means you are not tied to a single model provider. Depending on the task or agent, you can select a suitable model that has been approved in the workspace.

The models differ in their capabilities, speed, supported features and usage, among other things.

Workspace administrators decide which models are available to your team.

awork AI is a product of awork GmbH, a Hamburg-based software company whose founders – Tobias Hagenau, Lucas Bauche and Nils Czernig – have been building software together for 15 years.

Our mission is to make AI easy to use for companies across all industries – not just for specialists, but for the whole team. The focus is on getting started easily, sharing solutions and making AI part of everyday work.

Yes. With awork AI, employees can create and use AI agents and workflows without coding skills. They simply describe the task, the approach and the desired outcome.

Skills add reusable knowledge, such as a writing style, assessment criteria or a report template.

Administrators, among others, can centrally determine which tools and data are connected. This lets teams work independently while the company retains control over access.

An AI agent is a prepared AI assistant for a specific task or role.

A skill describes a reusable approach, such as a writing style, assessment criteria or a report template.

A workflow connects multiple steps into a process. In awork AI, these elements can work together to handle recurring tasks according to shared standards.

awork AI supports almost all recurring knowledge work, from individual steps to complete processes across multiple tools.

Typical examples include:

• Research and analysis: researching, summarising and analysing information
• Content: creating and revising texts, presentations and reports
• Data and reporting: preparing data for use in reports and decisions
• Meetings: processing transcripts, summarising outcomes and identifying follow-up tasks
• Automation: multi-step workflows that agents carry out independently across connected tools

Agents and skills define how a task is carried out and which quality criteria apply. Connected tools and company data expand the range of possible uses with every team that uses awork AI.

Teams can share prepared agents and skills in awork AI rather than recreating the same instructions repeatedly.

Shared approaches can be reused and adapted for different tasks and teams. This means useful AI solutions do not remain with individual employees but can become shared ways of working across the company.

awork AI is hosted in the EU. The contents of your AI threads are not used to train AI models.

Most of the available AI models are also hosted in the EU. For models provided outside the EU, the hosting region is labelled accordingly.

Workspace administrators can disable these selectable models for the entire workspace if needed, giving them control over which models the team uses.

Authorised admins can centrally manage the available AI models and access to the workspace.

For connected tools, the actions available also depend on the respective accounts, permissions and enabled features. These controls help companies organise AI use according to shared rules instead of leaving the choice of tools and access entirely to individual employees.

awork AI is available on the Free Trial, Business and Enterprise plans.

On the Business plan, you choose a credit package for each user: Starter for €20, Plus for €32, Pro for €56 or Max for €104 per month. Prices are based on annual billing and are exclusive of VAT. You can combine the packages within your team and adjust them on a monthly basis.

The Business plan includes, amongst other things, AI chat with shared threads and projects, custom agents with skills and tools, documents for company and project contexts, meeting recordings, as well as admin controls and usage insights.

Each user is allocated a monthly allowance of credits for using awork AI. Credits are units of usage: they indicate ‘how much AI usage’ is included in your package.

The number of credits used by a query or an agent workflow depends, amongst other things, on the model selected, the volume of information processed and the number of processing steps. A short chat query therefore generally uses fewer credits than a complex workflow.

The number of credits available to you each month depends on the package you have chosen. You can combine packages within your team as required.

Yes. You can try awork AI for 14 days free of charge and without a credit card. During the trial period, you’ll have access to the features of the Business plan and can invite your team to try out the platform together.

If you then go on to use awork AI with additional teams, you can add more people and choose credit packages to suit the needs of each team member. The allocation of the packages can be adjusted on a monthly basis.

awork AI is intended as a standalone AI platform for companies across all industries. You do not also need to use awork for agency management or project management.

The combination of awork and awork AI is the offering for agencies that want to connect their agency management with their use of AI.

To introduce awork AI, we recommend a shared workspace with clear responsibilities, approved models and a small number of recurring tasks to begin with.

Suitable agents, skills and workflows can then be made available to other teams and adapted. This allows usage to expand gradually without each department having to build its AI workflows entirely from scratch.

awork AI can connect to many common business tools via MCP connectors, including Google Workspace, Microsoft 365, Slack, Notion, Figma, Salesforce and GitHub.

This allows AI agents to work with information from your tool stack and incorporate permitted actions into your workflows. The available data and actions depend on the individual connector and the permissions granted. awork also offers standard integrations, for example for calendars, communication, file storage and billing. You can find the current connections in the MCP connectors overview and the awork integrations overview.

Provided documents and shared information can serve as context for AI tasks, such as summaries, analyses or drafts.

The information an agent can use depends on its setup, the available features and the permissions granted. A connection does not automatically mean access to all company data.