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PIA and Roma AI team up: AI-powered interviews now also on WhatsApp

· 3 min read · News

HR teams across Latin America face a constant challenge: candidates expect agile selection processes, available on the channel they already use every day, while recruitment tools remain tied to rigid formats and office hours. WhatsApp, the most widely used messaging channel in the region, is rarely part of that equation.

That's changing today. PIA, the Uruguayan AI-powered interview platform, announced an alliance with Roma AI that adds WhatsApp as an interview channel to its offering. The technology behind this new channel is Roma AI's: a no-code platform for building and operating conversational AI agents. The result: a more flexible selection process for companies, and a simpler one for candidates, without losing the depth of analysis that already sets PIA apart.

What PIA is, and its new reach with WhatsApp

PIA is an AI-powered interview platform built for selection teams that need to evaluate large volumes of candidates without sacrificing quality. Through structured, adaptive interviews, PIA analyzes technical competencies, personality, cognitive ability, and cultural fit, delivering a 360° profile of each applicant so recruiters can make decisions based on real evidence, not just intuition.

Until now, these interviews were conducted mainly through digital avatars and voice. With the addition of WhatsApp as a channel, powered by Roma AI's technology, PIA takes another step toward becoming a comprehensive interview platform: available on whichever channel each company — and each candidate — prefers to connect through. For sectors with high turnover or mass hiring processes, this makes candidates easier to reach, with no app-download friction or technical barriers.

The technology behind the alliance: Roma AI's key differentiators

Roma AI is a no-code platform that lets companies build, operate, and govern their own AI agents, under full control. Unlike solutions that depend on third parties for every adjustment, Roma AI is designed so the client's own team can manage their agents end to end. This technical foundation is what powers PIA's new WhatsApp channel today, and it rests on three pillars.

Real governance over AI agents

Every agent built on Roma AI operates under rules and controls defined by the company, allowing it to oversee behavior, adjust responses, and ensure conversations — in this case, interviews — stay aligned with the criteria and tone each organization needs.

Business intelligence applied to every conversation

Roma AI doesn't just automate the exchange of messages: it turns every conversation into useful information for decision-making. This is especially relevant for selection processes, where each interaction with a candidate can surface valuable data beyond the immediate answer.

Agents that improve over time

Agents built on Roma AI don't stay static once configured: they're designed to adjust and improve their performance as they interact, resulting in interview processes that become increasingly fine-tuned to each company's real needs.

Roma AI uses PIA: a real-world use case of AI applied to HR

The alliance isn't one-directional. While PIA adds Roma AI's technology to its product, Roma AI uses PIA to automate its own internal hiring processes. This exchange serves as a concrete use case: it demonstrates, in-house, the real potential of conversational agents applied to HR, and validates in practice the very same kind of solution both companies bring to market today.

What this alliance means for companies in Latam

For HR teams, this alliance translates into a concrete option: evaluating talent with the same depth of analysis as always, but on a channel that's already part of candidates' daily lives across the region. For Uruguay's tech ecosystem, it's one more example of how two local startups — each specialized in their own area — can complement each other, jointly strengthening their value proposition for the Latin American market.

Two companies, two complementary technologies, one shared goal: making artificial intelligence work better for the people and teams who hire.

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