Casap Raises $56M Series B for Financial Services AI
Casap is hiring people to watch how bank employees actually work. Its new Outcome Strategist role asks candidates to shadow operations teams, test opportunities on an institution's data and help decide which actions an AI agent should carry out. A company selling more autonomous financial operations is making room for people who understand why the existing process works the way it does.
The financial-services AI company announced a $56M Series B on October 28, 2026, led by Base10 Partners. Experian and Synchrony joined as strategic investors, with continued support from Emergence Capital and Lightspeed Venture Partners. Casap reports $90M in cumulative funding, following a $25M Series A last year, to advance its platform and expand beyond disputes into fraud, collections, claims and complex exceptions.
Co-founder and CEO Shanthi Shanmugam and co-founder Saisi Peter bring experience from Robinhood and Chime, respectively. Their customers face a practical delegation decision: how much of the work surrounding somebody's money can software handle, and where does an employee need to intervene? Casap's expansion gives that question a place in more departments, each with its own policies and customer circumstances.
What Casap's Series B finances
Casap describes a platform whose agents investigate, decide and act across the systems a financial institution already uses. The product combines those agents with financial-services expertise and forward-deployed teams that help customers change operating processes. For a buyer, the purchase therefore includes work on the institution's procedures as well as access to software.
The Outcome Strategist job description puts specific duties around that promise. The employee is expected to embed with operations and fraud teams, build a case for an opportunity, prove it against the customer's own cases and configure what runs autonomously. The role also carries responsibility for governance, explaining decisions and turning deployment experience into reusable practices.
That is a demanding commercial assignment. A bank can agree that a process is slow while disagreeing about which steps should disappear, which need better evidence and which belong with a person. Deployment has to make those differences explicit before an agent can act on them. The operational knowledge held by the existing team becomes part of the product's ability to function inside the institution.
Casap says more than 100 banks, credit unions, fintechs and processors use its platform. Its Series B supports a broader ambition within that market, while the announced use of proceeds leaves individual product budgets and hiring allocations undisclosed. The investor group supplies capital for that expansion; it also brings perspectives from consumer finance, identity and risk into the company's financing relationships.
How a dispute becomes an operating decision
A payment dispute starts with a consumer's account of what happened, then moves through eligibility, evidence and institutional rules. Casap's public self-service API documentation makes part of that sequence visible: the partner institution's own interface can present eligible transactions, collect dispute reasons and answers, submit a case and display its status. Customers can keep using the institution's interface while another system manages the case behind it.
The distinction matters for the person waiting on a resolution. An institution needs enough information to treat a legitimate complaint fairly and detect misuse of the same process. The technology has to carry evidence between systems while preserving the reason an action was taken. Moving quickly through an incomplete record could simply make an incomplete decision arrive sooner.
In a September interview with Tearsheet, Shanthi Shanmugam described predictive win and first-party scores that help guide case handling. She said complex or higher-risk decisions are directed toward human review, with a centralized record documenting the case. That is the company's account of its controls, rather than an independent certification of every deployment.
Casap reports outcomes including up to 51% lower first-party fraud losses and resolution in 8 days compared with as long as 90. Those are company-reported results with different measures behind them, rather than a single universal service guarantee. A prospective customer still needs to understand the cases, policies and human review involved in its own evaluation. The pilot is where an attractive performance claim becomes a question the institution can answer with its own records.
Carrying institutional knowledge into the next department
Emergence Capital's investment account describes staff observation as part of Casap's development process. Lotti Siniscalco writes that the team spent time with employees doing manual dispute work and built around the policies and systems institutions already had. As a returning investor, Emergence has a financial interest in the company; its account is useful evidence of the investment thesis and deployment approach.
That approach helps explain the move toward collections, claims and other exceptions. Each function involves information spread across systems and decisions that affect a customer. The evidence needed to investigate a disputed transaction will differ from the circumstances behind a missed payment or an insurance claim. A platform extending into those functions has to learn the relevant operating context as it goes.
Casap's website lets institutions choose between Autopilot and Copilot modes and describes a record of the evidence, policy and reasoning behind actions. It also offers operators to handle portions of intake and investigation while customer teams retain escalations and final decisions. The mix gives an institution several ways to distribute responsibility as it brings agents into production.
The work now financed reaches the employees who have to explain that distribution to their colleagues. Someone in collections will inherit an exception, someone in operations will decide whether an agent handled it appropriately, and someone serving the customer will need an answer they can use. Casap's next deployments will put its specialists alongside those people, translating another department's judgment into instructions that can survive the next case.
Fintech funding, last 30 days
DevCuration's funding database tracked 20 Fintech rounds totaling $823.2M in disclosed capital over the past 30 days. Recent deals we covered:
- Nevis Raises $70M Series B for Wealth Management AISeries B · $70M · Oct 26
- BOB Raises $5.5M Seed for Banking-Funded Finance AISeed · $5.5M · Oct 23
- Coast Raises $35M to Expand Finance for Field BusinessesGrowth equity · $35M · Oct 23
- Slingshot Insurance Raises $27M for Embedded InsuranceSeed · $27M · Oct 23
- Whop Raises $200M Series D for AI Business PlatformSeries D · $200M · Oct 22
Frequently Asked Questions
How can a financial institution keep control of Casap agents?
Casap describes Autopilot and Copilot modes that let an institution choose where agents act and where people remain involved. It says decisions retain evidence, policy and action records, with human review for cases requiring judgment.
What work is involved in deploying Casap beyond installing software?
Casap combines its platform with financial-services expertise and forward-deployed teams. Its Outcome Strategist role includes observing existing processes, testing pilots on the institution's data, configuring autonomy and working through governance requirements.
How should buyers interpret the reported fraud and resolution improvements?
Casap reports up to 51% lower first-party fraud losses and dispute resolution in 8 days compared with as long as 90. These are company-reported measures, so a buyer needs to assess the relevant case mix, policies and human involvement in its own pilot.
Which operations does the Series B expansion address?
Casap is extending beyond its original dispute focus into fraud, collections, claims and complex exceptions. The October 28, 2026 announcement says the $56M Series B will advance the platform; it does not disclose individual product or hiring budgets.
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