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Giallo

The Lab · AI sandbox

See what AI does
inside your company.

24 interactive tools: AI agents, workflows and automations that transform repetitive tasks into intelligent systems. Simulated data, real logic.

Book an AI Audit

24

interactive tools

13

covered sectors

€

measurable impact

agent_email.run() AI

customer request

“Do you have availability in September? Could you give me an idea of the cost?”

intent: availability + costs

AI Draft

consistent tone · recovered data~7 min → 30 sec
Simulated data, real logicDesigned for business workflowsIntegrates with existing toolsGDPR-aware approachHuman-in-the-loop where neededMeasurable automation

Start with the problem, not the technology

What's yours, of these?

Pick one: I'll take you straight to the demo that solves it.

Tool 01–04 · Control Room

The engine room, open bonnet.

Four systems that don't just show the result: they show AI as it reasons, calls APIs, and fermawhere it's needed.stops to wait for a human.

01Multi-agent

Multi-Agent Orchestrator

A real process is not a dry answer: it is a chain of steps. Here you see more agents passing each other the work — and the flow that stops to ask for permission before touching the customer.

orchestrator — 4 agents + 1 human
fromm.colombo@impresacolombo.it Fri 09:12

Estimate 40 office chairs — by Friday

Good morning, we need 40 chairs model Ergo for the new venue. Can you make us an offer by Friday?

Incoming email

—

Classifier

—

Business software data

—

Human approval

—

Send + CRM

—

// scegli uno scenario e premi «Avvia flusso»

4 agents + 1 humanApprove pause requiredevery step in the logI want a flow like this in the company
02Transparency

RAG Inspector — Inside the Mind of AI

"What if he invents things?" giustaright question. Here you see where each sentence comes from: what documents he recovers, with what score, what he uses and what he discards.

chat risponde answers on YOUR documents

Ask a real question, about the ones that block the work:

Pick a question: on the right see how AI finds the answer, not just what it answers.

RAG I inspector inside the search

listening
Here you see the recovered documents, similarity scores and what is used or discarded.
Similarity scoresSources quoted phrase by phrasedeclared discardsWe question my documents
03Operations

Document Parser — the end of the data entry

Invoices, handwritten expense reports and delivery notes: someone has been copying them into business management software for years. Watch the scanner read them in a second and pause for help when confidence is low.

scanner — from paper to the business system

FERRAMENTA BIANCHI SNC

Via Roma 41 — 20900 Monza (MB)

VAT number IT02845670961

Invoice

No 2026/0412 — 12/07/2026

Stainless Screws 4×40 (conf. 500)€ 180,00
Nitrile Gloves M (×200)€ 260,00
Drill B-750 (×4)€ 800,00
Taxable amount€ 1.240,00
VAT 22%€ 272,80
TOTAL€ 1.512,80

Payment: bank transfer 30 days d.f. — deadline 11/08/2026

Extracted data — ready for the business system

Press "Scan": no more copy-paste, the document becomes structured data.
from paper to structured dataconfidence by fielduncertain fields → humanDelete my data entry
04Customers around the clock

WhatsApp Autopilot — with agent console

The customer sees a chat that responds immediately. You see the rest here: the detected intent, the calls to the calendar, the CRM that updates. The chat is the tip of the iceberg.

OM

Officina Moretti

online · AI assistant

Hi! . I'm the assistant of Officina Moretti. Please tell me: prices, appointments, emergencies.18:02
Message

what the customer sees

agent-consul — what the assistant thinks

// tocca una risposta rapida sul telefono
// qui vedi intenti, API e decisioni in tempo reale

chat + console in parallelReal Simulated APIsclosed without interrupting anyonePut autopilot on my WhatsApp

Demo 05 · Agent AI

AI Email Agent

Every day dozens of emails arrive with the same requests: times, availability, order status. Responding by hand steals hours and the tone is never the same.

inbox — AI agent live
from laura.bianchi@studiorossi.it

Availability for a consultation in September

“Good morning, do you have availability in the second half of September? Could you give me an idea of the cost? Thank you, Laura”

1I read the incoming email
2Intent: availability + cost request
3Data retrieval: appointment calendar (3 slots), consultancy price list
4Preparing a draft in the firm's tone
5Priority: Media · Task created in CRM Follow-up +3gg

What AI does

It reads the request, understands the intent, retrieves useful data, proposes a consistent draft, assigns priority and prepares the task for CRM. The person checks and sends.

BeforeEmail by hand, risk of incomplete response~7 min
AfterDraft ready, consistent tone, data already recovered~30 sec

−92%

time for email

100%

consistent tone

0

lost requests

I want this on my emails

Demo 06 · Agent AI

Automatic quote

A customer brief comes by email or phone. Turning it into a quote means re-reading, choosing entries, estimating prices and times: 20-40 minutes, each time.

quote — AI agent

Customer request

«We need a new showcase site with blogs, in Italian and English, and a contact page that sends leads directly into our CRM. We would like to go online by the end of October.»

The agent reasons

Extract key data from the brief
I identify the necessary services
Estimate range and times from the historian
I prepare internal notes and sending emails

Generated Quote

Waiting for the brief...

What AI does

Extracts key data from the brief, proposes service entries from the history, estimates price range and timing, writes the internal notes and prepares the sending email. You correct and send.

BeforeQuote from scratch, forgotten entries~30 min
AfterDraft structured by the brief, ready to finish2 min

−90%

time to quote

+

quotations/day

1 fmt

consistent format

Automate my quotes

Demo 07 · RAG

Knowledge Base AI

The answers are in business documents (procedures, contracts, price lists) but they are scattered between folders, PDFs and people's heads. Finding them takes time and interrupts colleagues.

knowledge base — on your documentsRAG, not Generic ChatGPT

Try a real question that the team is constantly asking:

Select a question to see the answer with the internal source

What AI does

Connect your documents to an AI that responds by citing the internal source. It's not generic ChatGPT: it reads your files and tells you where the answer comes from.

BeforeSearch in rows or ask aroundminutes / colleagues
AfterDocument Quotation Responsea few seconds

Sources

quoted, verifiable

−hours

document search

1

point of truth

We question my documents

Demo 08 · Sales

CRM & Lead Scoring

Leads come from form, email, WhatsApp. Without an order, the hottest get cold and the CRM stays behind. The commercial chases, does not sell.

pipeline lead — sales
Lead
Scoring
Priority
Follow-up
CRM
Sale

Manufacturing company . 50 dip.

Budget defined, wants to leave immediately

—

E-commerce growing

Already has a supplier and is considering alternatives

—

Curious Freelance

No budget, exploratory phase

—

What AI does

It reads every incoming lead, assigns a score, understands urgency, suggests the next action, creates follow-up, updates the CRM and alerts the right salesperson.

BeforeLeads followed to feeling, CRM datedhours / days
AfterClear priority, follow-up ready, CRM alignedinstant

+34%

Hot managed leads

0 min

time of scoring

car

CRM updated

Put order in my leads

Demo 09 · Customer Care

Customer Care AI

The support receives many similar questions. People get tired on the easy and arrive late on the delicate ones. Response times lengthen.

customer care — chat AI + team

What AI does

He understands the problem, responds in a consistent tone using the knowledge base, proposes a solution, opens a ticket if needed and passes delicate cases to the human. Filters and accelerates, does not replace.

BeforeSame handwritten answersslow, repetitive
AfterEasy solved, delicate to the teamquick, filtered

−70%

repetitive tickets

24/7

first answer

human

on critical cases

Lighten my support

Demo 10 · Operations

Data Entry Killer

Data copied manually from PDFs, email and Excel into business management software. Slow, repetitive work, with typing errors someone must later find.

data entry — extraction

Incoming Document

FACTURING No. 2026/142

Supplier: Acme S.r.l. — IT01234567

Date: 14/09/2026

Taxable 1.240,00 — VAT 22% 272.80

Total €1,512.80

acme_invoice_142.pdf

Structured Table

Number…
Date…
Supplier…
VAT number…
Taxable amount…
VAT 22%…
Total…

What AI does

Extracts data from PDF / email / file, cleans them, compiles the table, reports anomalies, exports and updates the system. The copy-paste disappears.

BeforeTranscript by hand, typos~6 min/doc
AfterExtract, clean, reported anomalies/en/10 sec/doc

−97%

time per document

−errors

of transcription

export

ready for the business system

Delete my data entry

Demo 11 · Guided

AI Audit Simulator

You know that AI can help you but you don't know where to start. Without a starting point, the risk is buying tools that no one will use.

the Audits simulatore Simulator1 / 5

Question 1

What kind of company are you?

What AI does

Five questions about your company. In return: three recommended automations with complexity, estimated impact and priority. A taste of real AI Audit.

BeforeRandom tools, no prioritiesuncertainty
AfterTargeted automations, by impact3 moves

3

Targeted Automations

1

clear priority

0€

to try

Make a Real AI Audit

Tools 12–24 · The Arsenal

Another 13 instruments, One for each pain.

WhatsApp, reviews, receipts, shifts, deadlines, frauds. Tap «Run» on each and watch the AI work. Simulated data, real logic: every tool already exists in the projects we build.

12

WhatsApp Autopilot

Messages in the evening and on the weekend: those who do not respond lose the customer.

« "Are you open Saturday? Do you deliver to Monza?"

Saturday 21:47 nessuno no one in the office

AI agent

Yes! Saturday 9–19 and we deliver to Monza in the day. Do you want me to block you a slot?

« "Haben Sie morgen einen Tisch für 4 Personen frei?"

language detected: German

AI agent

Ja, gerne! Morgen um 20:00 haben wir einen Tisch f.r 4 Personen frei.

Translation: “Of course! We have a table for 4 tomorrow at 20:00.”

13

Response Reviews

The 1-star review stays there for days, unanswered.

★☆☆☆☆ Google yesterday

“Food arrived cold and slow service. Disappointed, I'm not coming back.”

analysis: recoverable client : recommended tone: empathic + concrete remedy

public response draft

14

Auto-Fill Agenda

Lost Phone Calls = missed appointments, especially off-hours.

occupied
available
available
available
occupied
available
available
occupied
available
occupied
available
available
Giulia · cut+fold→ slot booked automatically
Marco ) beard (WhatsApp)→ slot booked automatically
Anna ) color (site form)→ slot booked automatically
Luca ) cut (vocals)→ slot booked automatically
15

Sleeping Customer Recalls

Customers missing for months: turnover lost in silence.

Giulia B.68 days ago · average 45 days AT RISK
Paolo M.31 days ago · average 40 days OK
Sara T.94 days ago · average 50 days AT RISK

message recall . Giulia B.

16

AI voice receptionist

Busy hands, full shop: the lost call is a lost customer.

Lost call · 11:42 ··· +39 348 ···

I transcribe...

Customer

Anna Colombo

He wants

Tint + Cut

By

Saturday

17

Intelligent Sollecits

Asking for money is inconvenient: reminders leave late or never.

Fact. 214 · Ferri Srl · € 2,440+12 days

history: first delay in 3 years → selected tone: friendly

automatic follow-up: +7 gg (stop) +14 gg (phoned to commercial)

18

Bank Reconciliation

Match account statement and hand invoices: hours, every month.

Bank transfer +€ 1,830 · Rossi⇢ Fatt. 198 · € 1,830✓ match
Bank transfer +€ 540 · B&V Sas⇢ Fatt. 201 · € 540✓ match
Bank transfer +€ 2,150 · Irons⇢ Fatt. 205 · € 2,400⚠ −€250: partial payment received

Proposal: reminder for the remaining balance of € 250 to Ferri Srl → already in draft

19

Cashflow Radar 90 days

The cash crisis is discovered when it is already too late.

F24 + salaries fall together on day 63. Suggested action: anticipates the collection of fact. 214 or moves the supplier B&V by 15 days.

20

Guardian Payments

IBAN changed to a counterfeit invoice: lost wire transfer.

North ElectrosuppliersIT60 X054 28 ···✓ consistent with historical
Studio Fiscale BruniIT21 K030 69 ···✓ consistent with historical
TecnoImpianti SrlIT84 J011 11 (new!)different from the last 12 transfers

Payment automatically suspended. Possible vendor fraud compromised → telephone verification requested from the team.

21

Radar Deadlines

Bubbles, revisions, courses, certifications: they expire in silence.

Ducato van reviewin 9 days
RSPP course renewal · M. Rossiin 24 days
Check warehouse fire extinguishersin 51 days
HACCP Kitchen Renewalin 88 days

Booked revision by the affiliated rubberist for Thursday · reminder to Mario for the RSPP course sent now.

22

Smart Turns

The puzzle of shifts between holidays, contracts and rest, every week.

constraints: Anna part-time : Luca rest wed ? Sara vacation? no : peak: Saturday

Mon

Tue

Wed

Thu

Fri

Sat

Saturday (peak) covered with 3 people without exceeding Anna's contract hours.

23

Ghost Preventive Hunt

Estimates sent and never followed: money left on the table.

Colombo Enterprise € 6,800sent 12 days ago never opened
Central Bar € 2,400open 3 times · does not respond
Studio Verdi € 5,000opened yesterday in evaluation

follow-up Colombo Enterprise

24

Funnel Thermometer

You don't know which way you really lose customers.

Site Visits
Contact
Quotes
Closed

25

Your trial.
The next tool we draw on your work.

These 24 tools are examples. In an AI Audit, we map your workflows and identify which automation is worth doing, with priorities and estimated impact.

Book an AI Audit

How much you can save

Put numbers on the time you lose.

Quick estimate, not a quote. Move sliders to your team's reality.

4 people
6 hours/week
28 €/hour

Where do you waste the most time?

Precautionary Hypothesis: Up to 65% of repetitive time is automatable. Real numbers depend on processes.

68

recoverable hours / month

€ 34,917

annual cost of lost time

Recoverable annual impact

€ 22,696

time you could put back on value work —not cut costs, people freed.

Let's see how real it is for you

Your roadmap

With these numbers, I would start with: AI Email Agent

Every week of waiting € 436 of time that remains burned. First small, measurable, reversible project.

Look AI Email Agent in action
01Week 1–2prototype on your real data
02Week 3–4integration with the tools you already use
03From Day 30measure: hours saved vs estimate

Workflow Map

Where AI fits, department by department.

Choose an area: I'll show you the typical problems, the possible automations and the impact.

Sales

Impact Very high

Common problems

  • Cold Leads
  • CRM not updated

Possible automations

  • Lead scoring
  • Automatic follow-up
  • CRM auto-update
Go to the linked demo

Before / After

The same work, without friction.

Before

After

Emails written by hand, one by one
Drafts ready in 30 seconds
Estimates starting from scratch
Quote built from the brief
CRM updated (when it happens)
Automatically aligned CRM
Missing documents between folders
Queryable knowledge base
Hot leads cooling down
Instant and targeted follow-up
Every automation removes friction, does not add complexity.

It's not magic

Useful AI is a process that works.

An AI agent gives value when it is designed and integrated in your processes, with real data and controls. That's why we don't sell generic tools: we build systems customized, measurable, with the person where needed.

What He Can Do

  • Read, classify and summarize texts and documents
  • Prepare drafts and first drafts on which you decide
  • Recovering information from your data with the source
  • Perform repetitive steps within a defined stream

What He Should Not Do

  • Deciding on critical or irreversible things instead of you
  • Know your processes without being taught them
  • Ensuring absolute truth: should be checked on key points
  • Working well on a confusing or unmeasured process

How Giallo works

From the amazing demo to the working system.

A clear, reversible path, without unnecessary revolutions.

  1. 01

    AI Audit

    We map where you waste time and where AI really makes sense. No hype: priority for impact.

  2. 02

    Process Mapping

    We draw the real flow —input, steps, output —before automating anything.

  3. 03

    Demo Prototype

    A prototype on your data and tools, to see the value before investing.

  4. 04

    Tools Integration

    We link emails, CRMs, management software and documents you already use. No forced migrations.

  5. 05

    Tests and safety

    Verification with real cases, human control over critical points, attention to privacy and GDPR.

  6. 06

    Production

    Workflow enters daily work, in a gradual and reversible way.

  7. 07

    Monitoring and improvement

    We measure hours and errors, then we optimize. Automation stays alive, it doesn't die at launch.

Let's build it on yours

Stop looking at generic demos.

We build an AI workflow on yours real data, tools and problems. An audit, a prototype, and see the value before investing.

Deepen a tool

Each tab explains the problem, the workflow and what changes in the company.

Frequently asked questions

The Lab is the interactive laboratory of Giallo Studio: 24 testable AI tools in the browser that show what AI can do inside a company — from email agents to multi-agent orchestrator, from RAG inspector to WhatsApp autopilot with live console. Data is simulated, logic is real.

Yeah. Each demo starts from a recurring problem —repetitive emails, slow quotes, unupdated CRM, scattered documents, slow customer care, too much data entry.and shows what changes with an AI workflow: saved time, reduced errors, automated process.

Yeah. The Lab shows prototypes; Giallo Studio designs AI agents, automations and custom-made software integrated with the tools you already use (email, CRM, management software, documents), with human control where it is needed and attention to privacy and GDPR.

No. The approach is human-in-the-loop: AI prepares, filters and accelerates the repetitive part, the person maintains the decision on critical cases. On delicate processes the agent always passes the ball to a human.