Disseqt AI, HCLTech, and Microsoft are guiding banks and financial institutions through secure, scalable agentic AI adoption, anchored by a roundtable at Disseqt's Dublin HQ.
Key Takeaways
Disseqt AI, HCLTech, and Microsoft are helping banks and financial institutions adopt agentic AI securely and at scale.
The partnership was anchored by a roundtable at Disseqt's NovaUCD HQ in Dublin with financial leaders, technology providers, and regulatory stakeholders.
Only one percent of organisations use the right governance framework for agentic AI, which keeps most stuck between proof of concept and production.
Agentic AI built this way delivers up to 80 percent lower costs, 70 percent faster go-to-production, and 40 percent better testing productivity.
Disseqt is the only unified AI assurance platform covering testing, monitoring, policy, audit, and compliance.
The reason most banks are stuck at the agentic AI proof of concept
Disseqt AI, HCLTech, and Microsoft are guiding banks and financial institutions through secure, scalable agentic AI adoption, anchored by a roundtable at Disseqt's Dublin HQ.
Banks know agentic AI can run their operations faster. They have the demos to prove it. What they do not have is a way to move from a proof of concept to a production system that risk, audit, and the regulator will all accept.
Disseqt AI, HCLTech, and Microsoft are joining forces to fix that. Together we are giving financial institutions a path to adopt agentic AI securely, at scale, without leaving testing, monitoring, and compliance as an afterthought.
The partnership came together at a roundtable hosted at Disseqt's HQ at NovaUCD in Dublin, bringing financial leaders, technology providers, and regulatory stakeholders into the same room.
Why this matters for financial services
The blocker is not the model. The blocker is governance. Without the right framework, agentic AI stalls at the demo and never reaches the systems a bank actually runs.
A bank cannot ship an agent that decides on a loan, a payment, or a customer complaint unless it can test that agent, watch it in production, and prove what it did afterward. That is non-negotiable in a regulated environment.
Disseqt supplies that assurance layer. HCLTech brings the enterprise IT and responsible AI scale. Microsoft brings the cloud and AI platform underneath. The three together cover the full path from idea to production.
The results from agentic AI built this way are measurable. Up to 80 percent reduction in costs, 70 percent reduction in go-to-production cycles, and a 40 percent improvement in testing productivity.
What an assurance layer adds for banks
Most institutions stitch together separate tools for testing, monitoring, policy, and audit. The gaps between those tools are where agents drift, fail quietly, and where the evidence trail breaks.
Disseqt is the only unified AI assurance platform covering testing, monitoring, policy, audit, and compliance in one place. Banks do not have to choose between observing their AI and governing it. They get both from one layer.
The platform runs on three pillars. Test & Detect catches the failure before release. Protect & Enforce holds the agent inside policy while it runs. Prove & Comply turns every action into audit-ready evidence the regulator accepts.
This is AI Assurance, a new category built for exactly this problem. It is not legacy GRC, it is not a one-time evaluation, and it is not monitoring on its own.
What the partners are saying
"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 of 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."
"Collaboration is key to putting Responsible AI into practice," said Heather Domin, Vice President and Head of the Office of Responsible AI and Governance at HCLTech. "Working with Disseqt AI, we're enabling an ecosystem that empowers enterprises to innovate with speed and operationalize AI ethics, governance, and compliance at scale."
The scale of the governance gap is why the three companies came together. "Only 1% of organisations are using the right governance framework for Agentic AI and hence are struggling to move from POC to Production," said Jenni Rantakari, AI Leader, Microsoft UK.
Bottom Line
The thing standing between a bank and production agentic AI is proof. Proof it was tested, proof it stayed inside policy, and proof of what it did. Disseqt, HCLTech, and Microsoft give financial institutions all three.
Disseqt operates from Bangalore, San Francisco, and Dublin, and works with banks and their partners to put agentic AI into production safely. Talk to our team about your move from proof of concept to production.
FAQs
What is the Disseqt, HCLTech and Microsoft partnership about?
The three companies are helping banks and financial institutions adopt agentic AI securely and at scale, covering the full path from proof of concept to production with testing, monitoring, and compliance built in.
Why are so many banks stuck at the proof of concept stage?
What did the Dublin roundtable cover?
What results does this approach deliver?
What is AI Assurance for financial services?
About Disseqt
Disseqt is the Assurance Layer for Enterprise AI Operations. The unified platform tests, monitors, and proves enterprise AI across the full assurance lifecycle, giving teams audit-ready evidence regulators accept. Disseqt operates from Bangalore, San Francisco, and Dublin.
