AI employees

AI employees

Digital colleagues that know your knowledge, work on every channel and grow with your business. We build them, train them on your data and keep managing them. Your data stays yours.

Call 085 083 5775

No-obligation intake

More than a chatbot

An AI employee is not a button with a promise. It is a colleague with a role, access to your knowledge and the sense to hand off when needed. At PropertyPilot.ai such an employee now answers guest questions in multiple languages and brings in the host as soon as it is unsure.

Trained on your knowledge

Works from your own documents, data and processes. Not from generic internet knowledge.

Works on every channel

Chat, email and phone. One employee, the same answer everywhere.

Part of your workflow

Connects to your existing systems and triggers actions, not just talk.

Knows when a human is needed

Escalates cleanly to a colleague as soon as a question gets too complex or sensitive.

Build, train, manage

One continuous track. We put an AI employee in place, teach it your work and keep it sharp.

1

Build

Together we define the role, the boundaries and the integrations. What should the employee do, what not, and which systems does it talk to?

2

Train

We feed the employee your documents, data and examples. It learns your tone, your rules and your exceptions.

3

Manage

An AI employee is never finished. We watch real usage, adjust and let it grow with your business.

How it works

The reason our AI employees answer reliably: they draw on your knowledge, not on guesswork.

The RAG flow at a glance

Customer questionTurned into a vectorSearch in pgvectorRelevant knowledgeAI modelGrounded answer

RAG: answers from your own source

RAG stands for Retrieval-Augmented Generation. In plain terms: before the AI answers, it first looks up the right passage in your documents and bases the answer on that. No made-up answers, but grounded ones, with the source attached.

pgvector: making your knowledge searchable

We turn your documents into vectors (a mathematical fingerprint of their meaning) and store them with pgvector in a PostgreSQL database. That lets the employee find the most relevant passage in milliseconds, even when the question is phrased differently than your document. PostgreSQL and pgvector are also open source: your knowledge lives in a system you can run and take with you, not locked to a single vendor.

Why that matters

  • Current and accurate answers, based on your source instead of generic knowledge.
  • Less hallucination: the employee invents nothing, it cites what is there.
  • Your data stays yours. We do not train external models on your business information.
  • One source of truth: update your document and the employee knows it instantly.

And on the phone?

For voice employees we add speech-to-text and text-to-speech, tuned for low latency so a conversation flows naturally, connected to your telephony.

Proof

We already build this in practice

For PropertyPilot.ai we built an AI employee that assesses incoming properties against dozens of criteria, spread across PDFs, email and an in-house system. What took days now happens in minutes.

View the PropertyPilot.ai case

Why Seven Technologies

  • Vendor-neutral. We pick the technology that fits you, no lock-in.
  • You own your data and your code. Always.
  • More than 16 years of engineering in software and technical leadership.
  • We do not just build, we stay responsible for what runs in production.
See our broader AI and automation services too

Curious which role your first AI employee should be?

Call for a no-obligation intake. We will look together at where the biggest time savings are.

Call 085 083 5775

No-obligation intake