Multi-Agent AI for BFSI Support - Resolution-first multi-agent AI for BFSI customer support

We kept hearing the same thing from banks and insurers: support teams were drowning in disputes and KYC requests that needed context pulled from three or four disconnected systems before anyone could even start resolving them. A transaction dispute means checking account history, prior complaints, and policy terms across core banking, CRM, and compliance logs, then documenting the decision in a way that holds up in an audit. Most AI support tools could answer a question but couldn't touch any of that; they'd summarize a policy and stop right where the real work begins. So instead of one AI trying to do everything, Azeon runs a set of specialized agents that hand off to each other: one builds context from the client's full history, one reads the emotional stakes of the conversation, one applies your policy and compliance rules, and one documents the decision for audit. It's closer to how a real BFSI support team works than to a chatbot. We built it to sit inside your existing infrastructure with zero data retention, since that's non-negotiable for regulated institutions. And we price on resolved tickets, not seats or usage, because that's the outcome that actually matters to you. Would love to hear what BFSI support problems you're running into, especially around compliance and escalation.