Disseqt AI has announced a strategic collaboration with HCLTech and Microsoft aimed at embedding agentic AI more deeply into banking operations. The three companies showcased their joint approach at a roundtable in Ireland, where they demonstrated how intelligent agents—when paired with strong oversight and governance—can streamline complex financial processes. The session drew leaders from banks, technology companies and regulatory bodies, prompting wide-ranging discussions on how agent-based systems could be adopted responsibly in real-world environments.
Apoorva Kumar, founder of the Ireland-based Disseqt, said the partnership underscores the company’s long-term mission. “The partnership validates the company’s vision of bringing intelligent, agent based automation to the core of enterprise IT,” he noted, adding that robust and trustworthy AI can help organisations move beyond repetitive testing and monitoring cycles. He emphasized that by embedding Responsible AI principles directly into ITOps and FinOps, enterprises can accelerate their transformation journeys while maintaining high levels of safety and control.
According to Disseqt, its platform uses simulations, red teaming exercises and continuous observability to surface risks early, reduce system drift and ensure alignment with Responsible AI standards. The company claims that this approach can enable up to 80 percent cost savings, accelerate production cycles by nearly 70 percent and boost testing throughput by around 40 percent. These capabilities, the firm says, are designed to support banks and financial institutions as they navigate rising regulatory expectations and seek more resilient digital operations.
The partnership also complements HCLTech’s broader push into agentic AI, following its earlier rollout of tools built with Google Cloud’s Agentspace. By combining Disseqt’s governance-driven automation framework with Microsoft’s cloud and AI infrastructure, the companies aim to offer financial institutions a more controlled and verifiable path toward deploying agent-based systems at scale.
As banks increasingly explore AI-powered automation for operations, compliance and risk management, the collaboration signals a growing industry shift toward structured, transparent and simulation-backed approaches. The roundtable’s discussions reflected a shared understanding that the next phase of AI in financial services will demand not only powerful agents, but also the guardrails to ensure they operate safely and predictably.
