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Disseqt AI Joins HCLTech and Microsoft to Pull Banks Into the Agentic AI Era
Disseqt AI Joins HCLTech and Microsoft to Pull Banks Into the Agentic AI Era
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Disseqt AI Joins HCLTech and Microsoft to Pull Banks Into the Agentic AI Era

Disseqt says its platform uses simulations, red teaming, and live observability to flag risks early, stop system drift, and stay aligned with Responsible AI rules.

Published Updated

Key takeaways

  • Disseqt AI partners with HCLTech and Microsoft to enhance agentic AI in banking operations.
  • Utilize Disseqt's platform for efficient IT and DevOps processes, cutting costs by up to 80%.
  • Leverage simulations and live observability to mitigate risks and ensure compliance with Responsible AI standards.
  • Experience faster production cycles, achieving up to 70% quicker outcomes and a 40% increase in testing efficiency.
  • Engage in live demos to understand agentic tools' practical applications in financial institutions.
5 min

Disseqt AI has teamed up with HCLTech and Microsoft to push agentic AI deeper into the banking stack. The Ireland-based startup is positioning its lean agent tools as a simpler way for banks to handle critical IT and DevOps work. The pitch is to bring faster testing, cleaner monitoring, tighter governance.

“Our partnership with HCLTech and Microsoft validates our mission of bringing intelligent, agent-based automation to the heart of enterprise IT,” Apoorva Kumar, founder of Ireland-based Disseqt, said. “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.”

At a roundtable in Ireland, the three companies walked financial institutions through live demos that showed how agentic tools can strengthen processes when paired with proper oversight. Leaders from banks, tech firms, and regulatory circles discussed what real adoption looks like inside large systems.

Disseqt says its platform uses simulations, red teaming, and live observability to flag risks early, stop system drift, and stay aligned with Responsible AI rules. The firm claims up to 80% cost cuts, up to 70% faster production cycles, and a 40% jump in testing output.

HCLTech has been expanding its agentic AI work this year. In March, it rolled out a suite of tools built with Google Cloud’s Agentspace to give enterprises a common layer where agents can work directly with data and applications.

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