Saris Raises $28.8M to Scale Agentic Workflows

According to a Business Wire release dated May 28, 2026, Saris closed a $28.8 million Series A financing led by 8VC, with participation from Audacious Ventures, Homebrew, Btech Consortium, and Service Ventures. Per the release and subsequent reporting by FinTech Global, Betakit, CityBiz, and PYMNTS, the round will fund scaling the Saris agentic workflow platform across more banks and credit unions, deepen integrations with partners including Fiserv, Encompass, and MeridianLink, and grow the teams that train and deploy Saris AI agents. The Business Wire release and multiple outlets report that the company claims its agentic workflows automate up to 70% of consumer, mortgage, and commercial lending tasks and reduce related costs by up to 35%; several articles also cite customer statements that the platform has more than doubled output without increasing headcount.

Editorial analysis - technical context: The term agentic workflows used in Saris coverage refers to orchestrated, multi-step automation where AI agents follow scripted decision paths, fetch data from systems of record, and prepare files for human review. For practitioners, agentic approaches typically combine model-driven components (NLP extraction, classification, entity resolution) with deterministic orchestration and connectors to core banking systems. Reported partner integrations with Fiserv, Encompass, and MeridianLink are consistent with an integration-first deployment approach that typically relies on connectors and API-based access rather than replacing core systems.

Financial institutions have been a prominent early adopter market for workflow automation and generative AI due to high regulatory burdens, dense document pipelines, and measurable operational costs. Reporting on Saris sits alongside broader vendor activity where startups package model capabilities into verticalized, compliance-aware automation products. The fundraise led by 8VC signals investor interest in companies that combine task automation with institution-specific integrations and deployment services.

For practitioners: observers should monitor three indicators over the next 12 months, adoption and pilots at mid-tier community banks versus large national banks, evidence backing the claimed 70% automation and 35% cost reduction figures in independent audits or case studies, and how institutions manage compliance, audit trails, and escalation logic when delegating back-office responsibilities to agentic systems. Industry reporting does not include independent verification of Saris performance claims; companies and vendors often publish customer-reported metrics that later require third-party validation.

Per press coverage in Betakit and CityBiz, Saris founders previously worked on the edtech startup Oohlala Mobile (now Ready Education); Business Wire includes a quote from Alex Kolicich, founding partner at 8VC, endorsing Saris fit for banking operations, and multiple outlets quote CEO Danial Jameel on a vision of humans and AI working side by side. Coverage to date is drawn from the company press release and customer testimonials reported by trade outlets.

Editorial analysis: For data science and ML teams evaluating vendor automation, Saris approach exemplifies a packager model: combine off-the-shelf models with domain-specific extraction, robust connectors, and agent orchestration. Teams procuring such systems should treat vendor automation claims as inputs to test plans that include labeled evaluation sets, error-mode analysis, and compliance-ready logging, rather than as turnkey replacements for governance work.