Rulebase, a New York start-up building AI agents for financial services, has launched a product it calls Revenue Agents: autonomous software that takes ownership of a customer onboarding or reactivation case and works it over the days or weeks a conversion can take.
The company said the agents have driven a 120% lift in recovered accounts and halved time-to-activation at fintechs in the US, EU and Africa, figures that are company-claimed and have not been independently audited.
The pitch targets a familiar gap in regulated onboarding. A merchant clears most of a verification check, stalls on one rejected document and is never chased to the finish. An approved account never funds. A customer transacts once and goes quiet.
Rulebase argues that the tools most fintechs run are built to close a single support interaction and move on, not to follow a customer across the weeks it takes to turn an approval into a live, paying account.
One agent per case
Revenue Agents sit on a new layer Rulebase calls the Customer Agent Runtime. By the company’s account, each agent is trained on a customer’s own policies, queues and data, and treats every objective, whether document collection, exception triage, reactivation outreach or service recovery, as a single long-lived task attached to the underlying business object: an application, a ticket, a transaction, a document.
The runtime, Rulebase said, stores the state, the evidence, the next step, the governing policy and the condition that counts as done.
The design is event-driven rather than a continuously running model. According to Rulebase, an agent wakes on a signal, takes or recommends the next action, records the result and waits, which it said keeps compute cost roughly in line with the value of each case rather than running idle model loops.
An action policy sets what each agent may draft, execute or escalate, and consequential customer-facing actions, the company said, require a human to approve them.
All of that is the company’s description of its own system. Rulebase has not said how many fintechs are running the runtime in production, at what volume, or shown independent testing of the design, so how the architecture holds up in a live regulated queue is not yet something an outside buyer can check.
“Every fintech is leaking revenue it has already won,” said Gideon Ebose, chief executive and co-founder of Rulebase. “Customers who clear verification but never go live. Accounts approved but never funded. Customers who transacted once and quietly went dormant. That revenue isn’t lost to bad decisions, but to follow-up work that nobody owns long enough to finish.”
Agents move into regulated work
The launch lands amid a wider shift. Through 2026, agentic AI, meaning systems that plan and act across a workflow rather than answer a single prompt, has moved from experimentation towards operational reality in banking back offices, running parts of KYC, AML screening and customer operations that were until recently manual, according to industry analysis of agentic AI in financial services.
That migration into regulated territory is where the caution sits. Model risk, auditability and the point at which a human signs off remain unsettled, and agents acting on onboarding and reactivation touch KYC, KYB and consumer-protection rules directly.
“If you don’t solve the guard function, I don’t see AI at scale in banks at all,” said Jouk Pleiter, founder and chief executive of banking software firm Backbase, in a note on agentic compliance in banking.
Rulebase’s answer is the built-in approval step and the action policy, human oversight where it counts, in Ebose’s phrasing. Whether that holds up under a regulator’s scrutiny, rather than a vendor’s, is not something a product launch can settle.
Built on an existing product
Revenue Agents extend a narrower product Rulebase already sells: AI that reviews 100% of customer interactions across voice, email and chat, against the 3% to 5% a manual quality-assurance team typically samples.
The company cited US business banking platform Rho as a customer that used that coverage to cut manual QA by roughly 90% while flagging four times more issues, again a company-stated figure.
The wider company is young and lightly capitalised. Rulebase was founded in 2024 and went through Y Combinator’s Fall 2024 batch, raising a $2.1 million pre-seed round led by Bowery Capital.
Set against that stage, it has not disclosed how many fintechs are running Revenue Agents, named the fintechs behind its recovery and activation figures, or released audited results, the detail a buyer in a regulated business would want before handing an agent a live onboarding queue.
