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Giallo

Service · Automation

Repetitive work should do itself.

We automate everyday processes such as quotes, invoices, email and data entry, so your team can return to the work that matters.

Quotes and ordersBillingEmails and requestsData-entry
Business process automation

What is business process automation?

Business process automation lets software handle repetitive workflow steps, including moving data, generating documents and notifying the right person, while people retain decisions and exceptions.

Where to start
Start with the workflow consuming the most time and creating the most errors, usually data entry, reconciliation or request routing.
Which tools to use
API integrations between the software you already use, plus AI where the data is free text or a document to read.
How long it takes
The first workflow goes live in 2-4 weeks. We measure hours saved and errors avoided before expanding its scope.
What people still handle
Exceptions, decisions with economic impact, and customer relationship. Automation prepares, the human approves.

The problem

Every copy-and-paste between two software tools wastes time and creates an opportunity for error.

Manual work quietly adds up in SMEs: re-entering data, recreating documents and sorting email. Each task seems small, but together they take whole days every month, with every manual step creating another chance for error.

What we automate

Workflows that repeat the same steps.

Quotes and orders

From the request to a completed document, pre-filled with client data.

Billing

Automatic generation, delivery and follow-up reminders, synchronised with your business management software.

Emails and requests

Sorting, first response, and routing to the right person.

Data-entry

Data moves automatically between software systems, without copying, pasting or typos.

Customer onboarding

Document collection, checks and setup start automatically.

Reporting

Recurring reports generated and delivered without manual intervention.

How it works

Three steps, no upheaval.

01

We map the workflow

We follow the process step by step to identify lost time and sources of errors.

02

We automate

We connect your tools and build automation, with controls and fallbacks.

03

We monitor

We monitor the figures and refine the workflow to keep automation reliable over time.

8h+

saved per week on a single, well-chosen workflow.

90%

fewer errors where data used to be entered manually.

24/en/7

processes that continue to run even after hours.

Why it makes sense

What changes when processes run on their own.

Business process automation helps recover time, reduce errors and grow without adding organisational overhead. These are the practical benefits for an SME.

Time saved every week

Data entry, copying between systems and repetitive documents stop consuming your team's time. Business process automation frees hours for work that creates value.

Fewer errors, better quality

A machine does not get distracted or skip a step. Automated workflows reduce errors in repetitive tasks by up to 90%: accurate data, deadlines met and greater peace of mind for clients.

Grow without hiring straight away

When volumes increase, automation handles the extra load without adding staff to routine tasks. You scale operational capacity rather than fixed costs.

Data stays in sync

Your business management software, CRM and spreadsheets stay in sync automatically. One source of truth supports your decisions, without conflicting versions of the same data.

Process by process

What changes in practice.

These timings reflect workflows we commonly encounter in SMEs. They are indicative figures, useful for deciding where to look first rather than promises.

ProcessHow it works todayAfter automationWhere you save
Supplier invoicesOpen the PDF and copy the taxable amount, VAT and due date into the business management softwareFields are read and updated automatically; anomalies are flagged~6 min → ~10 sec per document
QuotesYou reread the brief, choose line items, and estimate prices and timelinesA draft pre-filled from past records, ready to review and correct~30 min → ~2 min per quote
Recurring emailsEach standard request is rewritten by hand, with varying toneA draft prepared using data retrieved from your systems, ready for you to check and send~7 min → ~30 sec per email
Payment remindersSomeone has to remember, and often puts it off because it is unpleasantThey are sent when payment is due, with a tone suited to the customer’s historyMore consistent payments
Periodic reportsYou export the data, paste it into the sheet, update the chartThe report is generated and delivered automatically at the agreed frequencyRecurring hours saved each month

Rules or AI: what your process needs

It is not an ideological choice. In most real projects they coexist: rules where certainty is needed, AI where interpretation is needed. These are the criteria by which we decide.

CriterionRule-based automationAI agent
When it makes senseThe process follows defined, predictable stepsThe content needs interpretation: free-form text, varied documents
PredictabilityComplete: the same input always produces the same outputHigh, but not absolute: edge cases need checking
Running costsNegligible once builtUsage costs per processing task, proportional to volume
MaintenanceIt should be updated when the connected systems changeIt needs reviewing when the documents or model change
Typical riskIt stops when it encounters an unexpected caseIt can misinterpret content, so exceptions need flagging rather than unchecked execution

How much this affects the quote depends on a few practical factors: what those factors are and how the price is calculated.

FAQ

Automation, explained.

For classification and extraction, we evaluate Claude Haiku 5.5; for workflows involving more information, we compare Claude Sonnet 5.5 and GPT-6.1 Sol. When more demanding reasoning is needed, we test Opus 5.5, Fable 5.1 or GPT-6 Astra. These are candidates, rather than a universal ranking: we measure errors, reviews and cost per case, leaving checks that require certainty to deterministic rules.

Almost never. We build automation around the tools you already have — business management software, email, spreadsheets and CRM — by connecting them. We only replace a tool if it is a real bottleneck.

An automation follows defined rules (if X happens, do Y). An AI agent also handles less predictable cases by interpreting text and context. They often combine: rules where certainty is needed, AI where flexibility is needed.

Every automation includes checks, logs and notifications. Cases outside its boundaries are stopped and flagged to a person instead of proceeding unchecked.

Start with a high-volume, low-complexity process: frequent repetitions and reasonably clear rules. That is where returns tend to arrive first, and the audit identifies it through measurements.

Software and AI perform repetitive tasks people currently do manually: moving data between systems, preparing documents, sending emails and updating business management software. The process stays the same but runs automatically without errors caused by distraction.

Quotes and invoices, data entry between business management software and CRM, email routing and replies, payment reminders, customer onboarding and regular reports. Any predictable, repetitive workflow is a potential candidate.

We begin with a fixed-price audit measuring the current process's time and costs, then set up the first automation. Costs are agreed in advance and assessed against monthly hours saved and errors avoided.

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Let’s calculate the return

How many hours does your manual workflow take?

We start with a specific process and estimate the hours and errors you could eliminate.