Service family

Automation and advisory

AI is useful when it removes repetitive work without creating new risks. And an in-house team learns better with someone experienced at its side.

Automation with human approval An incoming request is sorted by AI, which prepares a response or an action. A person approves it before any action in your systems; if the proposal needs changes, it is sent back with a comment. Everything is recorded in a log. Incomingrequest AI sortsand prepares Human approval yes Action inyour systems needs changes: sent back with a comment Log: what was proposed, approved, changed
AI removes the repetitive work; the decision stays with a person for as long as you consider it necessary.

Intelligent process automation

Who it's for

Teams that handle a high volume of documents, emails or repetitive data entry.

Typical problem

“Two people spend their mornings copying information from emails into our software.”

What we do

  • Observation of the actual process, with the people who carry it out.
  • Automation of repetitive steps. AI is used only where it adds value: reading documents, sorting, drafting.
  • Human approval at sensitive steps.
  • Before-and-after measurement, using indicators agreed with you.

Deliverables

  • Automated process in production.
  • Before-and-after process diagram.
  • Procedure for errors and exceptions.
  • Tracking indicators.

AI architect on retainer

Who it's for

Organizations that have an IT team, but no AI architecture expertise yet.

Typical problem

“We want our team to learn to do it themselves, but we need someone experienced to validate the choices.”

What we do

  • Participation in your architecture meetings and design reviews.
  • Review of technical choices and vendor proposals.
  • Mentoring your team on real cases.
  • Availability agreed in writing, based on your needs.

Deliverables

  • Written opinions on key decisions.
  • Decision log, kept with your team.
  • Skills development plan.

Proof

The eight labs serve as reference material throughout the engagement: your team sees real systems, not slides.

Let's talk about your situation

Every organization has its own systems, data and constraints. We always start by understanding your situation. Scope and investment are then proposed in writing.