IRIS Software Group Appoints Surya Sagi as Company’s First Chief Data and AI Officer

2026-07-06 · Source: The AI Journal · Field: Technology & Digital — Artificial Intelligence & Machine Learning, Data Science & Analytics · Depth: Fundamental Awareness, short

Summary

IRIS Software Group, a global software provider for accountancy, payroll, HR, and education solutions, announced the appointment of Surya Sagi as its first Chief Data and AI Officer, effective July 6, 2026. This new role underscores IRIS's commitment to leveraging Artificial Intelligence to deliver faster insights and enhance customer value. Sagi brings over 30 years of experience in building data and AI platforms, scaling cloud-native SaaS businesses, and leading M&A and platform integration across various environments. He previously founded ARKA AI and ARKA Advisors and served as CTO at Pitney Bowes. Sagi will oversee IRIS's global enterprise data and AI strategy, including data governance and responsible AI framework, focusing on scaling capabilities, strengthening practices, and delivering measurable business outcomes across products and services for its more than 100,000 customers in 135 countries.

Key takeaway

For Directors of AI/ML considering scaling their AI initiatives, appointing a dedicated Chief Data and AI Officer can centralize strategy and governance. Your organization should prioritize establishing a responsible AI framework and robust data governance to ensure AI deployments deliver measurable business outcomes. This approach helps transition from experimentation to outcome-driven implementation, strengthening customer trust and accelerating product innovation.

Key insights

IRIS Software Group appointed its first Chief Data and AI Officer to accelerate AI strategy and deliver customer value through responsible data governance.

Principles

• AI must deliver real, measurable business outcomes.
• Responsible AI framework and data governance are crucial.
• Focus on scaling proven capabilities.

Method

Sagi will oversee global enterprise data and AI strategy, including data governance and responsible AI framework, focusing on scaling capabilities and delivering measurable business outcomes.

In practice

• Establish a Chief Data and AI Officer role.
• Implement a responsible AI framework.
• Integrate AI into product innovation and growth.

Topics

• Chief Data and AI Officer
• AI Strategy
• Data Governance
• Responsible AI
• SaaS Solutions
• Enterprise Software

Best for: Executive, Director of AI/ML, Consultant

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Editorial summary, takeaway, and curation by AIssential. Original article published by The AI Journal.