AI agents · integrated with your systems

An AI agent that knows your companyand works inside your tools.

Off-the-shelf chatbots know the internet but not your data or your rules. We build an agent wired into your email, CRM, calendar and document base - one that actually gets work done, not just talks.

  • Integrated with your systems
  • Runs on your data
  • GDPR compliant

You start by describing the task - the rest, from integrations to rollout, is on us.

5.0 / 5
Guaranteeon every system we deliver
45 minfree consultation, no obligation

Why

Off-the-shelf AI doesn't know your company.An agent built for you does.

A generic chatbot guesses. An agent built for you answers from your documents, sticks to your rules and works in the systems you use every day.

01

Knows your data and rules

It answers from your documents and follows your rules - not general knowledge scraped off the internet.

02

Works inside your systems

It reads and writes in email, CRM, the document base and calendar - through APIs and webhooks, not copy-paste.

03

Takes over repetitive work

It picks up the tedious tasks nobody wants and does them without fatigue or breaks.

What you get

An agent embedded in your process,not a demo on a slide.

The four parts that make up every agent we build for you.

Wired into your tools

Integrations with the systems you already use - no ripping out the whole stack.

  • Email, CRM, calendar, document base
  • Connections via API and webhooks

Runs on your data

Answers grounded in your documents, not the model's general knowledge.

  • Search across your knowledge base
  • Answers based on company sources
GDPR

Sensitive data kept safe

Personal-data protection where it's needed - with restricted access.

  • Sensitive data under control
  • GDPR and EU AI Act compliant

Rollout and care

Launch on production, team training and ongoing development of the agent.

  • Live on production, not a demo
  • The agent grows as needs grow

How we build

From the task scopeto an agent that grows with your needs.

Four steps that turn a task description into a working agent.

  1. 01Step 1

    Scope and the agent's task

    We define exactly what the agent should do, which process it works in and which systems it must connect to.

  2. 02Step 2

    Integrations and data

    We connect email, CRM, calendar and the document base. The agent starts working on your data, not general knowledge.

  3. 03Step 3

    Rules and security

    We set the rules the agent follows and secure the processing of sensitive data in line with GDPR.

  4. 04Step 4

    Rollout and growth

    We launch the agent on production, train the team and keep developing it as needs grow.

Why us

Agents that work,not ones that look good in a deck.

Three reasons our agents make it to production instead of a drawer.

Production stack

Agents are built on real infrastructure, not a demo. They're meant to work in real operation, not just on a slide.

We connect real systems

We know how to wire an agent into company tools, databases and processes so it actually does the work, not just chats.

GDPR from day one

Where customer data is involved, we design the agent so data processing is secure and lawful from the very first day.

FAQ

Common questionsabout AI agents with integrations.

It's an AI-based assistant wired into the company's systems (email, CRM, calendar, document base) that runs on your data and performs concrete tasks - not just answers questions.

A chatbot gives ready answers from general knowledge. An agent runs on company data and can take actions - create CRM records, book meetings, prepare documents. That's the difference between a conversation and getting work done.

Most often email, CRM, calendar and a document base, but we integrate with the systems you already use, through APIs and webhooks. We define the scope up front, based on the process the agent will handle.

Yes, when it's well designed. We secure the processing of sensitive data, restrict access to what's necessary, and ensure GDPR and EU AI Act compliance - especially where customers' personal data is involved.

It depends on the scope and the number of integrations. After a short conversation about what the agent should do, we prepare a quote and show how we'll build it. Start by describing the task and we'll propose a concrete plan.

Tell us what your agent should do.We'll quote it and show how we'll build it.

Just describe the task. The rest - integrations, data, security, rollout - is on us.

Let's build your agent

45 minutes · free · no obligation

office@appwave.dev+48 538 441 413appwave.dev