Franklin Templeton goes all in on AI with new tools roll-out

Franklin Templeton goes all in on AI with new tools roll-out
Firm moves beyond pilots, betting on agentic AI to drive next-wave efficiency and insight.
NOV 07, 2025

Franklin Templeton is taking a decisive step into the future of asset management with a multi-year partnership with Wand AI, marking one of the industry’s clearest signals yet that artificial intelligence is moving from experimentation to full-scale execution.

The deal aims to embed Wand AI’s agentic AI (systems designed to act autonomously and adapt across complex workflows) throughout Franklin Templeton’s global operations, moving on from recent pilots to enterprise-level automation.

“Our partnership with Wand AI brings agentic AI out of the lab and into live production – embedded across research, operations, and transformative initiatives,” explains Vasundhara Chetluru, Franklin Templeton’s Head of AI Platform. “With strong governance in place, we are demonstrating that AI can deliver secure, scalable, and measurable value.”

Franklin Templeton, which manages about $1.66 trillion in assets, is betting that agentic systems can enhance productivity and insight while maintaining rigorous oversight, a balance the broader industry is still struggling to achieve.

The firm’s collaboration with Wand AI has been building quietly over the past year with initial pilots within investment teams. But 2026 is targeted for wide-scale integration across the firm, cementing Franklin Templeton’s belief that AI will be a differentiator not just in how it invests, but in how it operates.

“At Wand AI, our mission is bold and clear: to elevate AI from experimental technology to a fully integrated, adaptive workforce that drives enterprise-wide transformation and delivers significant business impact,” says CEO Rotem Alaluf.

Recently, McKinsey reported that banks face a potential $170 billion hit to their bottom line if they fail to address customers using agentic AI to optimize their finances and a report from Deloitte’s says the key to extracting value from AI lies not in the tech-first approach but in the interplay between human and machine intelligence.

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