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Your next team member is an AI agent

We create custom AI agents for your business that connect with your existing tools, and host them on European infrastructure.

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Popular AI agents

Add AI agents to your team

Custom AI Agent

Tell us the work that you want to have managed by an AI agent.

  • Designed exactly for your workflow
  • Connects to your existing tools
  • Managed and improved by us

Business Analyst

Turns raw data into the reports and answers your team actually needs.

  • Builds up-to-date reports
  • Answers your questions
  • Develops new strategies

Customer Support

Answers customer questions on chat, email, and phone, around the clock.

  • Replies on chat, email, and phone
  • Knows your business and learns on its own
  • Resolves common requests in seconds

Sales Manager

Qualifies and handles incoming requests for your business.

  • Replies within seconds
  • Qualifies incoming requests
  • Books meetings with interested customers

Marketing Manager

Creates content, posts, and campaigns for your business.

  • Writes posts and newsletters on its own
  • Creates and launches new campaigns
  • Optimizes running campaigns, budget included

Example: ki2min.com – AI news 3x per week (German)

IT Helpdesk

Handles internal issues and everyday IT requests.

  • The first point of contact for your staff
  • Resolves tickets on its own
  • Only complex requests get passed on

Knowledge Manager

Maintains and updates your company-wide knowledge base.

  • Updates documents when things change
  • Writes new entries as information arrives
  • Syncs knowledge across all teams

Compliance Manager

Keeps policies and training documents current and tailored to each team.

  • Updates existing policies
  • Tailors documents to each team
  • Flags reviews that are due

Operations Manager

Connects to your infrastructure, syncs data, and makes it available.

  • Connects to your existing interfaces
  • Transforms and syncs data
  • Lets teams work flexibly

Office Manager

Handles admin tasks, such as data entry, document processing, and emails.

  • Smart document detection
  • Keeps databases current and clean
  • Takes care of routine tasks
Silia Traub
AI agents are a transformative technology that unlocks efficiencies across a wide range of businesses.
Silia Traub
Director AI & Strategy at willhaben
Oliver Lukesch
We are using AI agents to radically improve our business efficiency and quality of service for our customers.
Oliver Lukesch
CTO at StartMatch
System Architecture

The elements of an AI agent

Trigger
  • Schedule
  • Events
  • Requests
  • Email
  • Chat
  • Phone
Managed AI Agent

Knowledge

Draws on your company's documents and data to work on tasks in the right context.

Brain

Understands the tasks, works on them, and picks the right AI model for the job:

Memory

Remembers the current task and earlier context to continuously learn new insights.

Tools

Connects to your existing apps and systems to interact with them:

Approval

The AI agent follows clear rules and requires a person to sign off on anything sensitive.

Logs

Everything the AI agent does is logged, so that all actions are documented.

Hosted in Europe by Waterglass
Decisions and actions
  • Makes decisions
  • Sends replies
  • Updates systems
  • Creates documents
  • Hands off to people

Self-improving

With every task successfully completed, our AI agents learn and become more precise in their work.

Managed by Waterglass

Thanks to our IT infrastructure, we ensure the reliable and secure operation of your AI agents.

European infrastructure

We use AI models hosted in Europe or open-source models hosted on our infrastructure.

Connects seamlessly into your existing infrastructure

Slack Microsoft Teams Outlook Gmail Notion Google Drive Salesforce Slack Microsoft Teams Outlook Gmail Notion Google Drive Salesforce
HubSpot OpenAI Anthropic Datadog Jira Zapier Stripe HubSpot OpenAI Anthropic Datadog Jira Zapier Stripe
GitHub Linear QuickBooks Zendesk Asana Intercom Google Calendar GitHub Linear QuickBooks Zendesk Asana Intercom Google Calendar
Questions & Answers

Common questions about AI agents

What is an AI agent?
An AI agent is a program that completes a task from start to finish on its own, rather than only answering individual questions. It has access to the same tools as your team, such as an inbox, CRM, file storage or ticketing system, decides which steps are needed and speaks up when it is unsure.
How is an AI agent different from a chatbot?
A chatbot replies. An AI agent acts: it reads the request, gathers the relevant information, enters something into a system, produces a document or triggers a follow-up process. The difference is not language ability but access to tools and responsibility for an outcome.
Which tasks do AI agents typically take over?
The best fits are tasks that occur often, run in writing and have a checkable result: pre-qualifying enquiries, processing receipts and documents, maintaining data across systems, producing recurring reports. As a rule of thumb: whatever a new colleague could handle after a short onboarding is a candidate.
What happens when the agent makes a mistake?
We define up front where it may decide on its own and where it has to hand over to a human. Uncertain cases are escalated rather than guessed. Every new agent first runs in shadow mode, meaning it handles real cases while a person checks the result, before it takes over in production.
Where do the agents run and where does our data sit?
On European infrastructure. On request we use models hosted in the EU, or open-source models running entirely inside a controlled environment. What data an agent may see is decided per agent, not granted wholesale.
What exactly does "managed" mean?
You get more than the finished agent: you get the ongoing operation. Monitoring, fixing problems, model changes and adjustments when your workflows change. You need no AI specialists of your own, and you do not have to act every time the model landscape shifts.
How much does an AI agent cost?
It depends on the scope of the task and the integrations required. A clearly scoped agent is far quicker to price than one coordinating several systems. Tell us the task and you will get a free, no-obligation offer with clear costs for both the build and the operation.
How long until an agent is working in production?
Usually a few weeks for the first one. Most of that time goes not into the technology but into understanding the process precisely, edge cases included. After that, each additional agent in the same environment is considerably faster.

Get a free offer for your AI agent

Tell us one job that eats your team's time. We'll come back with a tailored offer and a plan to put it on autopilot.

How can we help?

Schedule a quick call with us and we'll show you how AI agents can support your business. We're happy to answer all your questions.