The funding round, announced Thursday (April 30) was led by Accenture Ventures, which will team with Netomi to bring the company’s agentic customer experience (CX) offering to its enterprise clients.
“Agentic AI is opening an entirely new chapter for customer experience,” Ndidi Oteh, CEO of Accenture Song, said in a news release.
“One where brands can respond with greater empathy, consistency and intelligence at every touchpoint. Netomi’s platform doesn’t just make service faster; it strengthens the connection between people and the brands they trust.”
Netomi provides agentic CX systems for “large-scale, high-stakes environments” operating under strict regulatory scrutiny. Clients including Delta Air Lines, MetLife, DraftKings, and the NBA use its services to manage customer interactions over email, chat and voice channels.
PYMNTS explored the rise of AI as a CX tool last year in a conversation with Vinod Muthukrishnan, chief operating officer of Webex Customer Experience Solutions at Cisco. He explained that many financial institutions are moving past pilots and into deployment.
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“These firms are increasingly leveraging their AI focus on hyper-personalized CX such as personal financial advice or dynamic credit limit adjustments and offers, all enabled via real-time analytics,” he told PYMNTS.
Retailers and service providers can enjoy similar opportunities, that report added, as long as they align strategy with measurable ROI. Projects that fail to provide lower handle times, better satisfaction scores, or reduced churn tend not to scale.
“AI as with any new technology risks adoption and integration without a clear strategic alignment,” Muthukrishnan warned. “Too many pilots or implementations can lead to a fragmented focus.”
In related news, PYMNTS wrote this week about the way agentic AI had begun to shift from “conference-room promise to operating-room reality” in the financial services space, with banks, insurers and asset managers now testing software agents on the manual work that can slow down decisions.
That report cites recent articles from Snowflake, KPMG and The Economist all touching upon the same theme: The first major gains are likely to result from giving AI agents tightly controlled tasks such as data gathering, checking documents, monitoring signals, routing approvals and preparing recommendations.
“The larger shift is not simply faster automation,” the report added. “It is a new model for financial work, one in which firms use stronger data foundations, clearer governance and human oversight to turn fragmented processes into more continuous workflows.”
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