Accelirate announced R2A Next, which helps enterprises modernize existing automation by transforming bots into AI agents, enabling scalable, results-driven workflows.
Accelirate announced the launch of R2A Next, a new solution package designed to help companies modernize their existing automation programs by converting traditional robots into AI agents without replacing their current platforms.
Automation is not new to many organizations. Over the past decade, the team has built hundreds of robots to handle repetitive tasks. However, as processes become more complex and data become more structured, the same robots become harder to maintain, scale more slowly, and are more limited in what they can handle.
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R2A Next is built to solve just that problem.
Rather than asking businesses to reinvent the wheel, this solution focuses on what they already have and helps them upgrade their most valuable automations to agent-driven systems that can handle end-to-end processes, adapt to change, and deliver more meaningful results.
“Most automation today is at a tipping point,” said Harsh Thakar, COO of Accelirate. “Robots work, but they’re built for a different kind of environment: more structured, predictable and rule-driven. R2A Next allows organizations to take what they’ve already built and evolve it into something more flexible, scalable and impactful.”
This solution is particularly suited to companies with mature automation programs and business leaders looking to get more value from their existing investments without the cost and risk associated with replacing an entire platform.
Early implementations are already showing visible results. In one case, Accelirate helped a life sciences organization speed up donor screening by 50% using agent-assisted workflows. In another case study, an agent-driven automation model reduced order entry time by 89% while maintaining human oversight where it mattered most.
R2A Next comes with a flexible model that allows companies to identify their top 25 automations or high-value processes and upgrade them to agent-driven workflows without rebuilding or replacing their existing platform.
The core of the theory behind this change is simple. Robots automate tasks, while agents automate outcomes.
“You have already laid the foundation,” Takhar said. “Now it’s about achieving more and realizing up to 10x the value from it.”
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