Most financial institutions are not struggling to understand AI. They are struggling to operationalize it.
In this episode of AI Speed, Paresh Ashra, VP of Data Analytics at Quinte Financial Technologies, joins host Evan J. Cholfin to discuss why AI adoption in financial services is often slowed not by the technology itself, but by fragmented data, legacy systems, compliance demands, and operational bottlenecks.
The conversation explores where AI is already creating measurable impact today. Tasks that once took days can now be completed in minutes, with AI helping teams move faster, reduce manual effort, and improve consistency at scale.
“The question is not whether AI works. It is whether your data, your processes, and your people are ready for it.”
But this episode goes beyond the automation hype. Paresh explains why many AI initiatives fail to move beyond the pilot stage and why the most successful institutions use AI as a co-pilot to enhance human expertise, not replace it.

Key Takeaways

Some of the biggest transformations in financial services are happening in back-office operations.
The institutions getting AI right are using it to strengthen human decision-making, not eliminate it.

Even the most advanced AI systems fail without strong data foundations and operational alignment.

Operationalizing AI in Financial Services

That same operational focus is reflected in QiDesk, the automation hub for banking operations. The multi-agent AI platform helps financial institutions orchestrate document-intensive workflows, improve operational efficiency, and bring greater speed and consistency to highly regulated processes.

AI Speed

Hosted by Evan J. Cholfin, AI Speed explores how AI-powered companies are turning innovation into real operational and business impact. The podcast features conversations with leaders building practical AI applications across industries, with a focus on execution, adoption, and measurable outcomes.