Artificial intelligence is moving from experimentation to execution in wealth management, but adoption without governance creates risk. Ken Lotocki, chief product officer at Conquest, explains how responsible AI requires verifiability, explainability, and accountability in a trust-dependent industry. He addresses the challenge of "shadow AI" and tech stack fragmentation, sharing how Conquest's deterministic calculation engine integrates with advisor tools via MCP server to pull in live plan details to other tasks and across automated workflows. Looking ahead, Ken envisions how Conquest’s "headless" architecture will provide the verifiable data layer underpinning agentic AI environments, enabling faster, more confident financial planning without sacrificing control or credibility.
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