# Not one project, four

> How an AI training relationship grew into a prize redemption platform and a SAP production digitalisation project.

URL: https://thenichesociety.ro/en/case-studies/fox

We started with AI training for 28 employees. From there, the relationship grew organically — a redemption platform with prizes, then discussions about digitalising production on SAP. **Each stage earned the next one.**

## A cold-cuts manufacturer, their first time with applied AI

FOX initially came with a training need — the team had no direct experience with AI applied to daily work. It wasn't an implementation project, but a familiarization one: what applied AI is, what it can concretely do, what it can't.

## From curiosity to concrete application

Many teams hear about generic AI, but don't have a structured starting point for how to use it in their real work. The risk is either outright rejection (“it doesn't apply to us”), or chaotic use, with no discipline.

## Three engagements, the same relationship of trust

We built the relationship in stages, each one picking up where the previous one left off — with no large contract sold from the first conversation.

- 01**AI training** a two-phase workshop for 28 employees, with use cases relevant to the company's business, not a generic presentation.
- 02**Redemption platform** a real digital product — a ticket redemption platform for a campaign with 250 winners, with correct handling of fiscal data for taxable prizes.
- 03**Production digitalisation** discovery for a production planning system that works alongside SAP, not replacing it.

## From training to platform, then to SAP discovery

- 01Introductory training phase — what applied AI is, what it can and can't do, no jargon.
- 02Advanced training phase — concrete use cases, relevant to FOX's business.
- 03Building the redemption platform on Next.js and Supabase, with correct handling of fiscal data for taxable prizes.
- 04Discovery for production digitalisation — integration assessment with SAP BTP, with a focus on predictive planning.

## A relationship that grew on trust, not a big upfront contract

We didn't come in with a big contract from the start — we earned each next stage by delivering the previous one. It's the kind of progression we consider healthy: trust built project by project, not sold all at once.

## What we used

Training: a live workshop format, no dedicated software platform. Redemption platform: Next.js + Supabase. Production digitalization discovery: an assessment of integration with SAP BTP.

## Trust is earned delivery by delivery

Good training doesn't sell as a one-off product, but as the start of a relationship — if the team sees that you understand their real context, the next conversation comes naturally. We've seen this three times in a row, with the same company: the training opened the door to the redemption platform, and the platform delivered on time opened the door to a much bigger conversation, about production digitalisation.

## Frequently asked questions

### Why did the relationship grow in stages, not as one big project?

Because each stage proved concrete value before we discussed the next one — a healthier approach than selling a big contract on the first call.

### What did the AI training include?

Two phases, for 28 employees — an introduction, followed by an advanced phase with use cases relevant to the company's specific work.

### Does production digitalization replace the existing SAP?

No — it works alongside SAP, on the planning and optimization side, not as a replacement for the existing ERP.

### Let's see what can be automated in your business.

A free 30-minute session: we'll tell you what can be automated, how long it takes and what it costs, with a fixed price after discovery.

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