The move signals a strategic shift for the San Jose-based firm as it targets the next phase of enterprise adoption. Organizations are increasingly moving away from individual productivity tools toward a model where AI agents, human workers, and legacy systems function as a singular, governed unit. This integration is essential for sectors facing pressure to improve output without bloating their technology stacks.
Iyengar joins the company with over two decades of experience in workforce and platform transformation, including recent leadership roles at upGrad Enterprise and senior positions at Conduent, Capgemini, and Infosys. His background in financial services and global process optimization aligns with the company’s push to move AI from experimentation to measurable business impact. One notable regional use case involves a major English hospital group currently deploying these tools to automate up to 70% of administrative tasks, aiming to significantly cut recruitment timelines and staffing expenditures.

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