Franklin Templeton & Wand AI bring agentic AI to asset management

Firms within the asset management trade are turning more and more to generative and agentic AI to streamline operations, enhance decision-making, and uncover new sources of alpha (the measure of an funding technique’s potential to outperform the market after accounting for threat). The pattern is constant with the newest partnership between Franklin Templeton and Wand AI, marking a shift towards extra autonomous, data-driven funding processes.

Franklin Resources, working as Franklin Templeton, has entered right into a strategic partnership with enterprise AI platform, Wand AI, to start the enterprise deployment of agentic AI in Franklin Templeton’s worldwide platform. Wand’s Autonomous Workforce and Agent Management applied sciences have enabled Franklin to implement agentic AI at scale, accelerating data-driven decision-making in its funding processes.

The collaboration has moved from preliminary small-scale pilot programmes to absolutely operational AI methods, strengthening the partnership between the 2 corporations. The first implementations focused on high-value functions of AI in Franklin Templeton’s funding groups, however now each have plans to mass-deploy clever brokers in varied departments.

The firm plans to lengthen the usage of Wand AI’s clever agent in 2026, a transfer designed to drive digital transformation within the organisation and improve funding analysis.

Franklin hopes to guarantee AI methods are managed responsibly beneath strict oversight, compliance, and threat management, due to this fact sustaining belief and transparency. Vasundhara Chetluru, Head of AI Platform at Franklin Templeton, stated, “With sturdy governance in place, we’re demonstrating that AI can ship safe, scalable, and measurable worth.”

Rotem Alaluf, CEO of Wand AI, commented on the corporate’s AI imaginative and prescient, saying its mission is to “elevate AI from experimental expertise to a totally built-in, adaptive workforce that drives enterprise-wide transformation and delivers important enterprise affect.”

Alaluf stated AI brokers can “seamlessly collaborate with human groups and function at scale in advanced, extremely regulated environments to obtain transformative outcomes,” however solely when these are “correctly ruled, orchestrated, and deployed as a unified agentic workforce.”

AI takes centre stage in asset management

Other corporations within the sector are additionally going all-in on AI. Goldman Sachs has applied AI at scale, with CEO, David Solomon, pinpointing the expertise as a key power in financial progress. He is on the file as saying the chance introduced by AI is “monumental.”

According to the Goldman Sachs report, “AI: In a Bubble?”, the corporate estimates that generative AI might create US $20 trillion of financial worth in the long run. The report suggests AI has the capability to create up to a 15% uplift in US labour productiveness, if adopted at scale.

In June 2025, Goldman Sachs (GS) expanded its use of AI by launching a generative-AI assistant contained in the agency, becoming a member of an growing listing of massive banks that had been already utilizing the expertise for operations.

The GS AI assistant was designed to assist with duties together with drafting preliminary content material, finishing information evaluation, and summarising advanced paperwork. This has improved productiveness in groups, liberating hundreds of staff to prioritise higher-value strategic work, the financial institution says.

Such strikes sign a shift away from AI niche-use instances and pilot initiatives to border enterprise deployments in main establishments, aimed toward enhancing productiveness and operational assist.

While David Solomon acknowledges that AI presents an “monumental” alternative, he has emphasised that there will probably be “winners and losers.” Some capital investments is not going to yield return, in accordance to Solomon, which is why he says purchasers have to be diligent of their AI investments.

Solomon has additionally famous how expertise has already remodeled the composition of the GS workforce make-up during the last twenty-five years. Today, the financial institution employs 13,000 engineers, illustrating the change in job capabilities over time. Rather than roles disappearing with technological development, Solomon believes economies and workforces adapt to change. “At the top of the day, we now have an extremely versatile, nimble financial system. We have an amazing potential to adapt and alter,” he stated.

“Yes, there will probably be job capabilities that shift and alter, however I’m enthusiastic about it. If you are taking a three-to-five-year view, it’s giving us extra capability to put money into our enterprise,” he stated.

Goldman Sachs and Franklin Temleton are a part of a wider pattern of economic establishments accelerating AI adoption. Solomon stated, “I can’t discover a CEO that I’m speaking to, in any trade, that’s not targeted on how they’ll re-imagine and automate processes of their enterprise to create working effectivity and productiveness.”

(Image supply: “Trading Floor on the New York Stock Exchange throughout the Zendesk IPO” by Scott Beale is licensed beneath CC BY-NC-ND 2.0)

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