Service 02

Process automation: if a person is doing it by copying and pasting, we automate it.

We redesign the process, eliminate waste, and leave the repetitive work running on its own, connected to the systems you already use. With a dashboard that measures whether it actually improved.

Talk to us about your case See how we deliver it

Process automation or artificial intelligence: which do you need

Automation

We automate what you already do. Tasks with clear rules and predictable outcomes: moving data, reconciling, reporting, notifying, validating.

AI Adoption

We make possible what you can't do today: interpreting documents, holding conversations, reasoning about ambiguous context. See that service.

Do you need to automate processes at your company?

  • Your team spends hours moving information between systems that don't talk to each other.
  • The reports management needs are put together by hand every week and always arrive late.
  • Hiring more people to absorb the volume no longer makes financial sense.
  • Manual errors are costing you money, rework or frustrated customers.
  • You make operational decisions by gut feeling because the data is scattered and outdated.

What RPA process automation includes

Process map and baseline

We document how the process actually works and measure what it costs today in hours, errors and cycle time. Without that baseline there's no honest way to say it improved.

Lean redesign before automating

First we remove the steps that add no value. Automating a bad process just produces waste faster, so the redesign comes before the technology.

Automated workflows in production

Task automation and RPA running on your current systems, with defined exception handling: what the bot does when something goes differently than expected, and who it escalates to.

Systems integrations

We connect ERP, CRM, spreadsheets, email and the tools you already use. Via API when it exists; over the interface when there's no other way.

Operational decision dashboard

The process indicators, updated automatically and in one place. The debate stops being about which number is correct and starts being about what to do with it.

Continuous improvement cycle

Monitoring with alerts, workflow documentation and a review cadence to keep adjusting. Automation isn't an event, it's a process that stays alive.

21-day sprint

How we automate one of your company's processes in 21 days

  1. 01

    Discovery and baseline (days 1-5)

    We sit down with the person who runs the process, not just the person who manages it. We document the real steps, the exception cases, and measure the current cost in hours and errors.

  2. 02

    Redesign and technical design (days 6-10)

    We remove steps that add no value, define the target workflow, and choose the automation and integration tools. We validate the design with you before writing anything.

  3. 03

    Build and testing (days 11-17)

    We build the workflow, connect it to your systems, and test it against real cases, including the rare ones. We set up exception handling and alerts.

  4. 04

    Go-live and handoff (days 18-21)

    It goes live with active monitoring. We deliver documentation, an indicator dashboard, and train your team to operate and adjust the workflow without depending on us.

Process automation examples by industry

We've automated processes for businesses in sectors like healthcare, hospitality, accessibility and logistics, among others. Repetitive manual work looks different in every industry, but it costs the same in all of them.

Typical result

We automate at least 30% of the process from the first sprint.

With the baseline measured before and after, so the number isn't a sales promise: it's a figure you can audit on your own dashboard.

Frequently asked questions about process automation and RPA

What's the difference between automation and AI adoption?
The short rule: here we automate what you already do; in AI Adoption we make possible what you can't do today. Automation handles tasks with clear rules and predictable outcomes. AI handles tasks that require interpreting language, documents or ambiguous context. Many projects combine both, and when they do, we tell you from the proposal.
Which processes are good candidates for automation?
Ones that are repetitive, high-volume, with stable rules, and that currently consume hours of skilled people's time. Reconciliations, loading data between systems, recurring reports, form validation, order tracking and notifications are the most common cases.
Do we have to change our current systems?
No. We work on top of what you already have. We connect via API when it exists, and when it doesn't, we automate over the interface. Changing the underlying system is a much bigger decision, and we evaluate that separately under Digital Transformation Consulting.
What happens when the process or system changes?
Every automation breaks eventually because the business changes. That's why we deliver monitoring with alerts, workflow documentation and training for your team to make minor adjustments. For major changes there's an ongoing support model, but we never leave you dependent on us to understand how your own system works.
How do you measure that the automation actually worked?
Before automating we measure the baseline: how many hours the process takes today, how many errors it produces and how much it costs. After implementing we measure the same thing. If the number didn't improve, we're not done. That measurement stays alive in a dashboard so continuous improvement has something to act on.

Which process is costing you the most hours?

Tell us about it. We'll respond within 24 business hours with a concrete proposal.

Let's talk

Other services

Consulting, artificial intelligence and custom software

Digital Transformation Consulting

What to change, in what order and with what return. Roadmap in 2 weeks.

Artificial Intelligence Adoption

LLMs, RAG and agents in production in 21 days.

Custom Software

Web, apps, ERP, CRM and integrations built for your operation.