Speed and Discipline: How Sonali Niswander Manages the Value of AI at MetLife

2026-04-28 · Source: FinOps Foundation · Field: Business & Management — Corporate Strategy & Leadership, Operations & Process Management, Project & Product Management · Depth: Advanced, medium

Summary

Sonali Niswander, SVP AI, Cloud and Data Platforms at MetLife, demonstrates the evolving "Business-Technology Leader" archetype, overseeing cloud, AI platforms, automation, and business application delivery for a \$71 billion global insurer. Her strategy expands FinOps beyond cloud to include SaaS, broader software, and AI costs, a staged progression seen in mature enterprises. Niswander balances "speed and discipline" by setting clear, regularly updated guardrails for regional teams, allowing autonomy within these boundaries. She identifies AI spend as a significant challenge due to its rapid evolution, contrasting with MetLife's 18-month budget cycles. MetLife addresses this with a central budget for AI experimentation and active trade-off management, aiming for increased capacity rather than headcount reduction. Her role aligns with the "COO for the CIO" model, providing unified governance and translating technology spend into strategic business terms. The State of FinOps 2026 survey confirms these trends, with 98% of organizations now managing AI spend, up from 31% two years ago. Niswander will keynote FinOps X in San Diego, June 8-11 2026.

Key takeaway

For Directors of AI/ML or VPs of Engineering navigating AI spend in regulated industries, you should expand your FinOps mandate beyond cloud to include SaaS and AI tooling. Implement a "speed and discipline" model with dynamic guardrails for development teams. Allocate a central budget for AI experimentation to foster innovation while managing overall costs through active trade-offs. Focus on business-facing metrics to measure true productivity gains.

Key insights

Effective FinOps extends beyond cloud to AI and software, requiring a "biz tech" leader balancing speed and discipline.

Principles

• Technology is a means to business ends.
• FinOps scope should expand horizontally.
• Balance speed with dynamic governance guardrails.

Method

Implement a two-track AI budget: central funds for experimentation and active trade-off management for broader AI spend, offsetting costs elsewhere.

In practice

• Expand FinOps to cover SaaS and AI spend.
• Establish dynamic guardrails for development teams.
• Allocate dedicated budget for AI experimentation.

Topics

• FinOps
• AI Cost Management
• Cloud Financial Management
• Business-Technology Leadership
• Enterprise Governance
• MetLife
• Generative AI

Best for: CTO, Executive, Director of AI/ML, VP of Engineering/Data, Consultant

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Editorial summary, takeaway, and curation by AIssential. Original article published by FinOps Foundation.