Disseqt AI, HCLTech, Microsoft to guide financial services institutions on agentic AI

Collaboration to help enterprises automate and simplify critical IT and DevOps functions

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Pictured: Cyril Treacy, Disseqt AI; Heather Domin, HCLTech; and Apoorva Kumar, Disseqt AI

Agentic AI enterprise platform Disseqt AI is collaborating with HCLTech and Microsoft to enable secure and scalable AI adoption for financial services providers.

At a roundtable hosted for financial institutions at Disseqt AI’s Irish headquarters at NovaUCD in Dublin, the three companies demonstrated how financial services processes can be digitally transformed with the power of Agentic AI, coupled with the right governance framework.

The roundtable event brought together distinguished leaders to explore AI adoption from multiple perspectives, technology providers driving innovation, financial institutions implementing agentic AI at scale, and the regulatory considerations shaping safe deployments.

“Collaboration is key to putting Responsible AI into practice. Working with Disseqt AI, we’re enabling an ecosystem that empowers enterprises to innovate with speed and operationalise AI ethics, governance, and compliance at scale,” said Heather Domin, vice-president and head of office of responsible AI and governance, HCLTech.

Disseqt AI deploys a lean agentic ‘service-as-code’ to automate and simplify critical IT and DevOps functions, enabling high-performance testing, monitoring, and governance of AI systems.

“Our partnership with HCLTech and Microsoft validates our mission of bringing intelligent, agent-based automation to the heart of enterprise IT,” said Apoorva Kumar, founder and CEO, Disseqt AI. “By embedding trustworthy AI into core ITOps and FinOps processes, we’re enabling organisations to break free from tedious cycles of testing and monitoring, and instead embrace secure, scalable AI transformation.”

Using contextual simulations, red teaming, and live observability, Disseqt helps teams detect vulnerabilities early, prevent system drifts, and ensure alignment with Responsible AI frameworks. The platform promises up to 80% reduction in costs, up to 70% reduction in go-to-production cycles and 40% boost in testing productivity.

TechCentral Reporters

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