The scenarios described are representative of our target but do not refer to real clients. We will publish case studies with actual clients as they become available (with explicit consent).

Application scenarios

How Gitogi operates in Italian SMEs

Six representative scenarios showing what changes when your processes meet AI Adoption + governance + Odoo.

Talk to us about your case

case · 01Driver C · Odoo + Driver A

Manufacturing SME — Odoo management + team AI literacy

Profile: 35-employee manufacturing SME, Brescia, mechanical products
Trigger: Excel-based management + scattered tools, misaligned inventory, AI Act compliance trigger + decision "we want to be ready"
Before: 12 person-hours/week on duplicate data entry across systems, monthly inventory errors, zero company AI policy
Gitogi intervention: Odoo setup (CRM + Operations + Accounting) + AI literacy & compliance program for the team (5 people)

Result

Data entry reduced ~80%, real-time inventory, AI policy in place, team trained, Art. 4 compliant

→ Odoo Partner

case · 02Driver C · Odoo

Distribution company — Odoo for sales and inventory

Profile: 18-employee wholesale distribution company, Verona, electrical supplies for installers
Trigger: Orders growing but fulfilment getting slower: unreliable stock counts, customers calling to ask "when will it arrive"
Before: Orders taken by phone and email, warehouse on Excel sheets updated at end of day, no visibility on real availability or per-customer margin
Gitogi intervention: Odoo Sales + Inventory + Purchasing setup, master data and price list migration, hands-on team training on the company's real processes

Result

Stock availability visible in real time, orders fulfilled without phone ping-pong, ~1 person-day per week recovered from manual stock reconciliation

→ Odoo Partner

case · 03Driver A · AI Integration

Plant services company — AI Knowledge Base on technical documentation

Profile: 28-employee plant installation and maintenance company, Padua, industrial and residential clients
Trigger: Twenty years of schematics, manuals and job reports stored in folders: every non-standard fault depends on senior technicians' memory
Before: Document search via network folders and calls to colleagues, dead time on site, know-how concentrated in 2 people close to retirement
Gitogi intervention: AI Knowledge Base on company documents with source-cited answers, accessible from mobile on site, plus team training on the tool's use and limits

Result

Document search going from calls and guesswork to answers in minutes, senior know-how searchable by the whole crew, less dead time on site

→ AI Integration

case · 04Driver C · Custom software

Equipment rental business — Custom software for the rental cycle

Profile: 14-employee construction equipment rental business, Modena, fleet of ~300 machines and tools
Trigger: Contracts, deposits, deliveries and maintenance managed between Excel and memory: double bookings and machines sitting idle for no reason
Before: No standard software covers the process as it is: off-the-shelf systems treat rental like a sale, the team compensates with parallel spreadsheets and phone calls
Gitogi intervention: Custom application for the rental cycle (booking → delivery → return → maintenance), integrated with invoicing, built around the real process

Result

Double bookings eliminated, every machine's status visible in real time, unplanned downtime caught before it turns into lost contracts

→ Custom software

case · 05Driver A · Compliance

Accounting firm — AI Act compliance by August 2026

Profile: 12-employee accounting firm, Milan, manufacturing SME clients
Trigger: SME client asked "are you AI Act compliant?" + 2 Aug 2026 deadline approaching
Before: Zero documented AI training, ChatGPT used without internal policy, Art. 4 + Art. 13 L. 132/2025 non-compliance risk
Gitogi intervention: Tailored AI Act Ready program for 8 people over 4 months → documented AI literacy training (Art. 4) + internal AI Policy + complete processing audit trail

Result

100% documented compliance, ~12 hours/week saved post AI co-pilot ROPA deploy, first "AI advisory" client acquired thanks to positioning

→ AI Act Ready

case · 06Driver B · Fractional AI Officer track

Junior accountant — toward Fractional AI Officer

Profile: 32-year-old junior accountant at a partnership firm, decision to build autonomous AI positioning
Trigger: AI Act emerging, Fractional AI Officer profession perceived as professional opportunity, desire for differentiated career
Before: Surface-level AI knowledge, zero AI Adoption credentials, generic positioning
Gitogi intervention: 4-month Fractional AI Officer path: training, a real AI adoption project for a client company, and guidance toward professional positioning

Result

Active Fractional AI Officer profile, first 3 company clients acquired within 90 days of completing the path, stable monthly retainers

→ Fractional AI Officer Path

Don't see your case in this list? It's probably not too different.

Every scenario emerges from real Italian market patterns. If you see nuances of your problem in one of these, let's talk directly — your case is probably closer than you think.

Talk to us about your case

Manufacturing SME — Odoo management + team AI literacy

Profile

35-employee manufacturing SME, Brescia, mechanical products

Trigger

Excel-based management + scattered tools, misaligned inventory, AI Act compliance trigger + decision "we want to be ready"

Before

12 person-hours/week on duplicate data entry across systems, monthly inventory errors, zero company AI policy

Gitogi intervention

Odoo setup (CRM + Operations + Accounting) + AI literacy & compliance program for the team (5 people)

Result

Data entry reduced ~80%, real-time inventory, AI policy in place, team trained, Art. 4 compliant

Distribution company — Odoo for sales and inventory

Profile

18-employee wholesale distribution company, Verona, electrical supplies for installers

Trigger

Orders growing but fulfilment getting slower: unreliable stock counts, customers calling to ask "when will it arrive"

Before

Orders taken by phone and email, warehouse on Excel sheets updated at end of day, no visibility on real availability or per-customer margin

Gitogi intervention

Odoo Sales + Inventory + Purchasing setup, master data and price list migration, hands-on team training on the company's real processes

Result

Stock availability visible in real time, orders fulfilled without phone ping-pong, ~1 person-day per week recovered from manual stock reconciliation

Plant services company — AI Knowledge Base on technical documentation

Profile

28-employee plant installation and maintenance company, Padua, industrial and residential clients

Trigger

Twenty years of schematics, manuals and job reports stored in folders: every non-standard fault depends on senior technicians' memory

Before

Document search via network folders and calls to colleagues, dead time on site, know-how concentrated in 2 people close to retirement

Gitogi intervention

AI Knowledge Base on company documents with source-cited answers, accessible from mobile on site, plus team training on the tool's use and limits

Result

Document search going from calls and guesswork to answers in minutes, senior know-how searchable by the whole crew, less dead time on site

Equipment rental business — Custom software for the rental cycle

Profile

14-employee construction equipment rental business, Modena, fleet of ~300 machines and tools

Trigger

Contracts, deposits, deliveries and maintenance managed between Excel and memory: double bookings and machines sitting idle for no reason

Before

No standard software covers the process as it is: off-the-shelf systems treat rental like a sale, the team compensates with parallel spreadsheets and phone calls

Gitogi intervention

Custom application for the rental cycle (booking → delivery → return → maintenance), integrated with invoicing, built around the real process

Result

Double bookings eliminated, every machine's status visible in real time, unplanned downtime caught before it turns into lost contracts

Accounting firm — AI Act compliance by August 2026

Profile

12-employee accounting firm, Milan, manufacturing SME clients

Trigger

SME client asked "are you AI Act compliant?" + 2 Aug 2026 deadline approaching

Before

Zero documented AI training, ChatGPT used without internal policy, Art. 4 + Art. 13 L. 132/2025 non-compliance risk

Gitogi intervention

Tailored AI Act Ready program for 8 people over 4 months → documented AI literacy training (Art. 4) + internal AI Policy + complete processing audit trail

Result

100% documented compliance, ~12 hours/week saved post AI co-pilot ROPA deploy, first "AI advisory" client acquired thanks to positioning

Junior accountant — toward Fractional AI Officer

Profile

32-year-old junior accountant at a partnership firm, decision to build autonomous AI positioning

Trigger

AI Act emerging, Fractional AI Officer profession perceived as professional opportunity, desire for differentiated career

Before

Surface-level AI knowledge, zero AI Adoption credentials, generic positioning

Gitogi intervention

4-month Fractional AI Officer path: training, a real AI adoption project for a client company, and guidance toward professional positioning

Result

Active Fractional AI Officer profile, first 3 company clients acquired within 90 days of completing the path, stable monthly retainers