Facsimile of one morning's automation run log for invoice processing: forty-two invoices received and read, thirty-nine matched and posted to the ledger, three routed to a person for review because of a new supplier and low match confidence, then the run logged and a notification sent.

Process automation in Cyprus

We take over the repetitive, rule-based work your team does by hand and leave a system that keeps working after we are gone. Not a one-off macro. Production-grade automation you can rely on.

We build process automation for businesses in Cyprus and across EMEA: systems that take over the repetitive, rule-based work your team does by hand and keep working after we are gone. Invoicing, data entry, reconciliations, document handling, the daily grind that ties up good people in copy-paste.

Not a fragile macro that breaks on the next software update. Production-grade automation, with logging, error handling, and a fallback for the edge cases.

The process works because people compensate for it

Most teams lose hours every week to the same handful of tasks: re-keying numbers between systems that do not talk, reconciling accounts by eye, processing the same kind of document over and over, chasing approvals through an inbox. It is slow, it is error-prone, and it scales only by hiring.

If a person does it the same way every time, it is usually a candidate for automation. We start with the process that hurts most and is cleanest to automate, for the fastest payback at the lowest risk.

Concrete, recognisable work

Concrete, recognisable work, not abstract workflows.

Invoice and document processing

Including Greek and multilingual documents, read and turned into structured data.

Data entry and copy-paste

Between systems that were never built to talk to each other.

Reconciliations and period-close prep

The monthly grind reduced to a review.

Report generation and distribution

Built once and run on a schedule.

Onboarding and approval workflows

Routed and tracked instead of chased through an inbox.

Inbox and ticket triage

Sorted and prioritised before a human looks.

Tell us the process

RPA, AI, or proper integration

Most local shops sell one tool and fit every problem to it. We choose per case, because the wrong tool is how you end up with automation that fails on the next software update.

The right tool per step
CriterionTool
High volume, low variationIntegration or RPA
Structured but branchingWorkflow and rules
Judgment on messy inputAI with review

How an automation project runs

The same audit-to-handover sequence we run everywhere, scaled to a single process.

  1. 01

    Audit

    We map the process as it really runs, find the automation candidates, and rank them by payback and risk.

  2. 02

    Design

    We agree what gets automated, what stays human, and how we will know it worked.

  3. 03

    Build

    Production-grade, with logging, error handling, and a fallback for the edge cases.

  4. 04

    Hand over

    Documentation, monitoring, and a system your team can run. Not a black box that needs us forever.

Start with an audit

What this is worth

The honest measure is hours returned and errors removed. A reconciliation that took a day becomes a review that takes minutes. A finance team stops re-keying invoices and starts checking exceptions. An approvals backlog stuck in an inbox becomes a tracked queue.

We quantify the before-and-after for your specific process in the audit, from your real numbers, never a figure we made up.

An automation we run ourselves.

We built Pileform on exactly this thinking. It handles document capture and reconciliation in daily use, across 55 VAT jurisdictions and 11 languages, and a day of period-close becomes about twenty minutes of review. The same engineering goes into your automation.

See our work
See how we compare to other Cyprus RPA firms
20 min
Period-close, down from a full day
55
VAT jurisdictions handled

Questions, answered plainly

What is the difference between RPA and AI automation?

RPA follows fixed rules and clicks through systems the way a person would, ideal when the software cannot be changed. AI automation adds judgement, reading messy documents, classifying, extracting, for steps a rule cannot cover. Most real projects use a mix, and we pick per step.

How long does a process automation project take?

A single, well-scoped process is usually weeks, not months. We start with an audit, so the timeline and payback are clear before you commit to a build.

Will the automation break when our software updates?

That is the main risk with cheap automation. We reduce it by integrating through APIs wherever they exist, and by building logging, error handling, and fallbacks so a change is caught early rather than in production.

Do we need to replace our existing systems?

No. Automation usually sits on top of what you already run. Replacing systems is a separate decision and a different conversation.

Which processes are the best candidates to automate first?

Repetitive, rule-based, high-volume work with clean inputs: invoice and document handling, data entry between systems, reconciliations, report generation. We rank your candidates by payback and risk in the audit.

Can you automate document and invoice processing in Greek?

Yes. Greek-language document handling is a genuine strength, and part of what we built into our own product.

Do you support the automation after handover?

You get documentation and monitoring, so your team can run it. Ongoing support is available if you want it, but you are never locked in.

Tell us the process that is eating your team's week. We will tell you what is automatable, what it is worth, and the cleanest place to start. Low commitment, useful even if you go no further. .

Book a call or send the brief, whichever suits. We reply within one business day.