Saris Lands $28.8m Series A to Scale Agentic Workflow Tech

Why It Matters

The funding accelerates automation adoption in the US banking sector, promising cost reductions and faster loan processing for midsize institutions.

Key Takeaways

• Saris raised $28.8 M Series A to expand agentic workflow platform
• Platform automates mortgage, lending, compliance tasks for US banks and credit unions
• New funding targets deeper Fiserv, Encompass, MeridianLink integrations
• Customers include Catalyst Corporate Credit Union and Mississippi’s Community Bank

Pulse Analysis

The banking industry is under pressure to modernize legacy core systems while keeping operating costs low. Recent advances in generative AI have given rise to “agentic” workflows—software agents that can act autonomously within existing applications. For US banks and credit unions, which process millions of loan applications and compliance checks each year, such agents promise to replace repetitive manual steps with real‑time decision support. Analysts estimate that automation could shave 20‑30 % off processing times, unlocking significant efficiency gains across the sector.

Saris, founded in 2024 by the team behind Ready Education, has built a platform that plugs autonomous agents directly into core banking suites such as Fiserv, Encompass and MeridianLink. The agents handle end‑to‑end tasks ranging from mortgage data entry to commercial loan underwriting and regulatory reporting. Early adopters like Catalyst Corporate Credit Union and Mississippi’s Community Bank report faster cycle times and reduced staffing overhead. The fresh $28.8 million Series A will be used to deepen system integrations, broaden the product roadmap, and scale the specialized team that trains and deploys the agents.

The infusion of capital positions Saris to compete with larger fintech players that are also courting the automation market, such as nCino and Mambu. If Saris can demonstrate measurable cost savings, it could become a go‑to solution for midsize institutions that lack the resources to develop in‑house AI. Moreover, the move signals broader investor confidence in AI‑driven workflow solutions as a growth engine for the financial services industry. In the coming years, widespread adoption could reshape how banks allocate human talent, focusing more on relationship management than routine processing.