SwiftLabs Systems

Services

Work out what is worth doing, then build it, then run it.

For most companies the first step is the harder one: deciding what should be built at all. You can stop after any step without what came before losing its value.

Operations

An AI system nobody maintains quietly gets worse.

Models change, interfaces disappear, prompts drift, processes move. We watch, keep up and keep developing - so the system still does in a year what you built it for.

Care
Monitoring, model and API updates, fixing what breaks.
Managed
A named contact, continuous development, reporting.

How a project runs

  1. 01

    Discovery call

    We go through the routine in question: where the time goes and which programs hang off it. The call is free, and afterwards we put in writing what is worth automating.

  2. 02

    Audit or build

    Where the routine is clear, we build it and connect it to the programs you already run. Where several routines are in play and the order is open, the AI process audit takes them in first.

  3. 03

    Operations

    Models change, interfaces disappear, processes move. We monitor, keep up and keep developing.

In detail

How the work divides up

AI process audit

Record the processes, prioritise the candidates, test whether we can reach the data. The result is a document with a roadmap and fixed prices.

View

Automate a process

One routine, built and connected, with a defined scope of action and verifiable acceptance. That is the unit of account.

View

Custom AI development

We build the system ourselves instead of installing a finished one. The difference between a licence and a solution.

View

AI integration

Connecting to ERP, mailbox, file storage and portals - including where no interface exists. Roughly half of every project.

View

AI system

Across departments, with its own infrastructure and a roles concept. Only after an audit.

View

Operations

Monitoring, model and interface updates, further development. The product is not the build but that it keeps running.

View

From the first conversation into daily operation.

Discovery call

free

You ask, we answer - and we work out together what is possible with AI in your business and where a start pays off.

  • Experience out of our own development work
  • We look at one concrete routine with you
  • You leave with a rough plan of action
Request a session

AI process audit

2-3 weeks

One level deeper: we look at your routines and develop the AI strategy from them - what gets built, in what order, and under which conditions.

  • Your AI strategy, developed with you
  • A plan of what gets built in what order
  • Remote or on site, whichever fits
How the audit runs

Build

Offer after the call

We build the routines, connect them to the software you already run - and maintain and improve them from then on.

  • Ongoing maintenance and improvement
  • One direct contact, not a ticket queue
  • Acceptance criteria agreed up front
What we build

Contact

You tell us where your time goes. We put it in writing: what is worth automating, and roughly what that costs.

ContactThe discovery call is freeTry the process check first - two minutes