MLOps.community The Future of AI Operations: Insights from PwC AI Managed Services
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Nov 14, 2025 
Rani Radhakrishnan, a Principal at PwC, specializes in AI-managed services and data-driven transformation. She dives into how organizations are shifting from experimentation to realizing ROI with AI solutions. Topics include the need for process standardization, the role of data quality for AI agents, and the importance of human oversight in AI deployment. Rani also contrasts traditional managed services with AI-driven operations, emphasizing continuous optimization and the evolving skill sets required in today's tech landscape.
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AI Managed Services Are Outcome-Driven
- AI managed services shift "keep the lights on" to outcome-driven automation.
- Rani says AI-managed services focus on scaling, sustaining, and measuring deployed AI.
MLOps + AIOps Prevent Incidents
- Combining MLOps and AIOps enables predictive detection and prevention of incidents.
- Rani gives examples of alert triage and resource spike prediction improving MTTR and uptime.
Centralize Agents And Standardize Processes
- Centralize agent management and standardize processes before wide agent rollout.
- Start parallel pilots for high-use processes but keep governance for responsible AI and consistency.