AI process automation. Less copy and paste.
AI process automation combines automated workflows with models that understand documents, emails and messages, so tasks your team does by hand today run on their own and only exceptions reach a person. Rival Tech builds it on top of the systems your company already has.
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How is AI automation different from traditional RPA?
Traditional RPA follows fixed steps and breaks when a document or message changes format. With AI, the system understands the content (an invoice, an email, a request) even when it arrives in a different shape every time, and decides the next step within rules you define.
What should you automate first?
Work that meets three conditions: it happens often, follows clear rules and eats up hours of your team's time. For example:
- Reading and entering invoices and supporting documents.
- Reconciliations across bank, ERP and spreadsheets.
- Sorting and answering emails and requests.
- Recurring reports that are still built by hand.
How do you measure the results?
Before we start, we agree on a baseline: how long the process takes today, how many people are involved and how many errors it produces. The pilot is measured against that baseline, not against promises.
What's it like working with a nearshore team?
We're based in Bogotá, Colombia, in a time zone aligned with US Eastern and Central time. That means real-time collaboration with your operations and IT teams, in English or Spanish.
How do we work?
01
Process map
We look at how the work gets done today, who does it and where time is lost.
02
Design
We define what the AI handles, what the system handles and what a person approves.
03
Pilot
We run it on real data and measure it.
04
Scale
We extend what works to more processes and teams.
Frequently asked questions
Do I need to replace my current systems?
No. The automation connects to what you already use through its integrations or API.
What happens when something doesn't fit the rules?
It's flagged as an exception and routed to a person, with the context they need to decide.
Is this a fit for mid-sized companies?
Yes. We start with one well-scoped process, so the investment stays proportional to the impact.
How do you handle our data?
We sign an NDA, the solution runs in your own cloud account, and your data is never used to train third-party models.