Skip to content
Novamedia
Let’s talk

Systems that work with AI

AI and automation

AI is moving from tools that answer questions to agents that get work done. We design, build and operate AI solutions that connect to your systems and deliver measurable results in day-to-day operations.

What we do

  • 01

    AI agents

    Agents that do work inside your systems: taking requests, fetching data, updating records and closing cases, with human approval where it matters.

  • 02

    Assistants on your own data

    Chat and search that answer from your handbooks, contracts and business data, with source references and access control.

  • 03

    Document and data processing

    Invoices, receipts, applications and contracts read, classified and recorded automatically, straight into the systems you use.

  • 04

    AI-ready systems

    We open your systems to agents such as ChatGPT and Claude through MCP and secure APIs, so they become part of a new way of working.

  • 05

    AI assessment

    A fixed-price assessment where we find and prioritise opportunities by benefit, risk and cost, with a clear plan for the first steps.

  • 06

    Responsible AI in operation

    Data hosted in Europe, access control, answer-quality evaluation and cost monitoring, plus preparation for the EU AI Act.

Experience

We use AI in our own products, in daily use. Our advice is based on what works in real operations, not on slide decks.

AI in use

Already running in our own products

We do not only build AI solutions for others. They run in our products every day.

  • Spjallbox

    AI drafts replies from earlier conversations and the knowledge base. Staff review and send.

    View product
  • Tímabox

    A receipt scanner that reads receipts from a photo and records expenses automatically.

    View product
  • Stats

    Analyses website traffic and points out what changed and what the next step could be.

    View product

Process

How we run the project

  1. Opportunity assessment

    We look at processes, systems and data and find the tasks where AI delivers a measurable benefit.

  2. Prototype on real data

    A focused version that proves, or disproves, the benefit before going further.

  3. Integration into your systems

    The solution connected to everyday systems with access control, logging and human approval where needed.

  4. Operation and evaluation

    We measure answer quality, monitor cost and update the solution as the technology moves forward.

Before we begin

The first step should reduce uncertainty

We do not begin by selling a particular technology. First we confirm the problem, what success means, and whether a custom build is the right route at all.

  • 01

    A defined scope

    You receive a proposal covering scope, stages, and budget expectations before implementation begins.

  • 02

    An evidence-based decision

    We examine the current process and systems, then choose the smallest step that can prove the value.

  • 03

    Accountability after launch

    Operations, maintenance, and future releases are addressed from the outset — not after a problem appears.

Let's talk about your project

Tell us where things stand or take the short needs assessment. We will reply with a practical view of the next steps — with no commitment.