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AI agents and process automation

Every company has a slice of work that repeats itself, identical, every week: deadlines tracked by hand, costs to check, information scattered across spreadsheets and email. It isn't time that's missing to do it properly, it's someone who can do it without getting distracted. An AI agent handles these processes for you, twenty-four hours a day, and only flags you when your judgement is genuinely needed.

The hidden cost of repetitive work

Deadlines tracked by hand eventually slip through. Costs checked by eye hide errors of distraction, not of competence. Useful information stays scattered across spreadsheets, email and systems that don't talk to each other, and someone has to reconstruct it from scratch every time. The result is a team spending hours on tasks that require no judgement, instead of dealing with the ones that do.

What we build

• Multi-step autonomous agents: not a single automation, but a chain of connected actions — read, verify, decide, act — that the agent carries out on its own.
• Bespoke management software with AI built in: not a standard package bent into shape, but a system built on your actual processes, with AI integrated where it genuinely matters.
• Smart deadline trackers and expense control: the agent tracks deadlines and transactions, flagging in advance what's about to expire and what doesn't add up.
• Automatic alerts and reporting: notifications when something needs attention, reports generated on their own instead of being assembled by hand at the end of every month.
• Data collection and continuous monitoring: the agent watches processes over time, not just at the moment someone decides to check them.
• Integrations with the systems you already use: the agent connects to the management software, mailboxes and spreadsheets you already use, without forcing you to change them.

Forecasting and anomalies: the role of machine learning

Automating an existing process is only half the job. On the same data, machine learning techniques make it possible to forecast demand before it arrives and flag out-of-pattern behaviour before it becomes a problem: an anomalous expense, a deadline at risk, a pattern that departs from the usual one. The agent doesn't just execute, it learns from historical data and refines its alerts over time.

Results already in production

This isn't a theoretical case: these are agents and management systems working every day with verifiable numbers.

• Studio Lamparelli: the AI-powered management system automated at least 40% of recurring processes, saving the team more than 40 hours a week.
• PlaySportMate: a squad of AI agents active 24/7 handles 90% of the platform's operations, from matching to marketing automation.

Who it's for

We work mainly with organisations that have processes repeating every week and little time to follow them by hand: deadlines to keep track of, case files to route, costs to reconcile. Volumes growing faster than the team managing them, in any sector.

How we work

• Discovery: we map existing processes, identify where the most time is lost and which automation delivers value first.
• Prototype on the pilot case: we build the agent or the management software on a narrow process, tested with real data before widening the scope.
• Go-live with hands-on support: release into production with close monitoring in the first few days, to fix anything that doesn't add up straight away.
• Extension on the numbers: we expand automation to other processes only after measuring the results on the first one.

Why Latentia

• EU data and GDPR: the data the agent handles stays on European infrastructure, with no unnecessary transfers outside the EU.
• No lock-in: we deliver the code and the documentation. You are not tied to any proprietary platform.
• Made in Italy: in-house team in Naples, no outsourcing. A single point of contact for the whole project.
• Response within 24 hours: every enquiry gets a reply the next working day.

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