AI Basics: low cost, high added value, today

The pain

The business owner hears "AI" everywhere and fears missing the boat, but a Copilot rollout failed, was too expensive, or the data isn't ready for it yet. They want to know pragmatically: what already works today and pays for itself?

The principle

No big Copilot implementation, because the data usually isn't ready for it. Instead: concrete tools on well-defined tasks, with measurable time savings, low cost and no upheaval. One process, a two-week pilot.

The result: a list of "AI quick wins", ranked by time saved × feasibility ÷ cost, with 2 to 3 pilots ready to start — plus an honest verdict on what is not yet possible until the data is in order.

What already adds value today

• Finance & Excel with an AI assistant: month-end closing, variance analyses, cleaning and restructuring messy Excel data, and ad-hoc reporting that now costs hours of manual work — reduced to minutes.
• Documents & quotes: drafting standard contracts, quotes and product descriptions faster, based on your own templates.
• Customer communication: preparing first-line replies, translations, and summarising long mail threads or files.
• Meetings: automatic transcription, with the action items filtered out immediately.
• Searching your own documents: a well-scoped AI search across your own manuals and procedures — provided that data is cleaned up first.

The follow-up

We guide the pilots and train your people. And those who want to take bigger steps usually start with pillar 2 (Infrastructure & Data) to make the data truly AI-ready.