Knows your data and rules
It answers from your documents and follows your rules - not general knowledge scraped off the internet.
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
What an AI agent for business is
An AI agent is a program that runs a multi-step case on its own inside your tools: it reads an email, pulls the data out of it, checks it against your CRM and knowledge base, drafts the reply or the document, and hands it to a person for approval. A chatbot answers a question and stops there; an agent takes the case to the end. AppWave builds agents in Python, wired into the tools a company already uses, and the client sets the limits of their autonomy before the build starts - the final click always belongs to a human.
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.
Works inside your systems
It reads and writes in email, CRM, the document base and calendar - through APIs and webhooks, not copy-paste.
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
Numbers
Numbers you can checkbefore you ever contact us.
No savings percentages pulled out of thin air. What stands below is only what you can verify in the calculator and in the contract.
- Start with no setup fee
- from 3,875 PLN/mo
- Build, care and fixes in one monthly figure, with no setup fee. Custom implementations on the Polish market typically start at 8,000-30,000 PLN of setup alone, paid upfront, with maintenance billed separately.
- Approves every decision that carries weight
- A human
- Sending a quote, replying to a client, releasing a payment - the agent prepares, you click. We write down the limit of its autonomy before we start.
- Failure fixed, included
- within 16 h
- Response within 8 hours, fix within 16 hours on business days. Included in the package, with no separate service contract.
Prices and response times come from the calculator and the standing service agreement, so you can verify them before we ever speak. We publish no savings percentages here because they depend on the process; we calculate them for you during the audit.
How we work
From the task scopeto an agent that grows with your needs.
Four steps that turn a task description into a working agent.
- 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.
- 02Step 2
Integrations and data
We connect email, CRM, calendar and the document base. The agent starts working on your data, not general knowledge.
- 03Step 3
Rules and security
We set the rules the agent follows and secure the processing of sensitive data in line with GDPR.
- 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.
Guarantee
The risk sits with us,not with you.
The Working Implementation Guarantee
If the agent does not handle the process the way we agreed in the scope, we fix it at no extra cost - no new quote, no cap on revisions.
We can promise this because we start with a process audit and turn down projects where we cannot see a return. Saying no before we start costs both sides less than fixing things afterwards.
- The code and the repository are yours from day one, copyright included.
- Scope and price are agreed before we start. We do not add line items along the way.
- After the rollout you keep the same person you talked to at the beginning.
FAQ
Common questionsabout AI agents with integrations.
A chatbot waits for a question and answers with text. An agent acts on its own: it picks up a request, checks data across several systems, works through the steps in order, and either closes the case or hands it to a person with the context already assembled. The practical difference is that after a chatbot conversation someone still has to go and do the thing. After an agent has worked, what is usually left is an approval.
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.
We assume it sometimes will, and design for that. Decisions with outside consequences - sending a quote, replying to a client, releasing a payment - need a human click. Every step the agent takes is logged, so you can see what it based a conclusion on. Where a mistake would be expensive, the agent does not act alone.
Almost every client asks this, and rightly so - in EY’s 2026 study, 39 percent of companies named security as the biggest barrier to adopting AI. We agree with you which data reaches a model at all and which never leaves your infrastructure. The processing agreement and the record of activities are part of the rollout, not an afterthought.
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 agent45 minutes · free · no obligation
- 5.0 / 5 - 15 reviews
- Uptime guarantee - if a system breaks, the fix is included, no extra charge.
- You talk to the owner, not a salesperson
office@appwave.dev+48 538 441 413appwave.dev
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