SymphonyAI has published a new webinar examining how the rise of agentic artificial intelligence is creating a turning point for banks, particularly when it comes to building compliance programmes that are continuous, scalable, and fit for a more autonomous future.
The financial services sector has long grappled with a persistent gap between ambition and execution. While banks have poured resources into digital transformation and AI adoption, the reality for many institutions is that core workflows remain siloed, heavily manual, and resistant to meaningful scale.
Compliance, in particular, has historically been handled on an episodic basis, triggered by audits, regulatory updates, or incidents rather than running as a constant, embedded function. The result is a model that struggles to keep pace with the speed and complexity of modern banking.
SymphonyAI contends that the industry is now at an inflection point. AI is no longer limited to assisting human decision-makers through copilots or chatbots. The next generation of systems, agentic AI, is capable of reasoning independently and taking action across complex, multi-step workflows without constant human intervention. The firm argues that always-on compliance is one of the most logical and accessible starting points for banks looking to put these capabilities to practical use.
The webinar, which runs for around 30 minutes, features two prominent voices in the field. SymphonyAI president of financial services John Edison and Microsoft global head of AI and GTM strategy for payments and banking Tyler Pichach lead the discussion.
Together, they work through the defining characteristics of agentic AI in a banking context, setting it apart from earlier and more familiar tools such as automation platforms and conversational assistants. The session also unpacks what always-on compliance looks like in practice, how it functions operationally, and why it is well-positioned to serve as an early proving ground for agentic capabilities within globally active banks.
A significant portion of the discussion is dedicated to governance. Deploying AI agents in regulated environments demands a clear framework for trust, oversight, and control, and the webinar addresses these requirements directly rather than treating them as secondary concerns.
The session closes with a concrete, executive-level framework centred on a straightforward principle: start controlled, then scale fast.
Copyright © 2026 FinTech Global
Copyright © 2018 RegTech Analyst
