Founder · CPO
Peyman Hesami
Co-founder, Chief Product Officer — Spring Labs
Product leader with deep experience building AI-powered software at the intersection of technology and financial services regulation. Shapes Spring Labs' product vision across its full suite of AI agents for compliance, QA, and customer experience.
Biography
Designing AI products that work the way financial institutions actually work
Peyman Hesami is the Founder and Chief Product Officer of Spring Labs, where he leads product strategy, design, and roadmap across the company's AI agent platform. Peyman brings extensive experience building technology products at the intersection of AI and financial services, with particular expertise in translating complex regulatory and operational requirements into software that is both powerful and practical.
At Spring Labs, Peyman leads the teams building the CX Agent, QA/QC Agent, Complaints Agent, Disputes Agent, and the broader compliance automation platform. His mandate is to ensure each product delivers measurable, auditable outcomes — not just AI capability — for the compliance officers, operations leaders, and customer experience teams at financial institutions who rely on these systems daily. In regulated industries, product quality is defined by what you can prove, not just what you can do.
Peyman's approach to product development is grounded in a detailed understanding of how financial institutions actually operate — the regulatory timelines they must meet, the audit trails they must maintain, the escalation workflows that govern every exception, and the human judgment that AI must support rather than replace. This operational fluency shapes every product decision at Spring Labs, from how complaint records are structured to how QA scorecards are surfaced to supervisors.
Before Spring Labs, Peyman worked in advisory roles helping fintech companies develop product strategies that balance innovation with the strict compliance demands of regulated industries. He has contributed to shaping how financial services companies think about the interface between AI capabilities and institutional trust — a challenge that requires as much domain expertise as technical sophistication.
His work at Spring Labs reflects a core belief: that great AI products in financial services must be embedded in the operational realities of the institutions they serve — not layered on top of them. Every agent, every workflow, and every interface must be designed around how compliance and operations professionals actually work, not how an AI product roadmap assumes they do.