The conditional logic layer behind every workflow. Define a rule once, when this happens, do that, and Hudson runs it on every transaction, automatically.
A rule is a single piece of logic: when a condition is met, an action fires. Define it once, and Hudson runs it on every account and transaction. Chain rules together and the same engine handles conditions of any complexity, one rule's outcome feeding the next.


Conditions and actions read like a checklist, not code.
Every edit creates a new version. Old runs reference the rule version that fired them.
String simple rules into multi-step chains, where one rule's result feeds the next.
Rules are tied to three kinds of conditions: time-based (e.g., 30d clock expired), activity-based (e.g., a payment landing), or document-based (e.g., waiver uploaded). Chain them together and Hudson evaluates each rule execution, in order, to get to the correct outcome.






Every rule that fires is a task an analyst didn't have to touch. Hudson absorbs the manual work that fills a banker's day so your team's hours
go where they actually move the business: onboarding the next client, structuring the next deal, deepening the relationships already on
the books.
Capacity scales with deposits, not headcount.

A single rules engine that turns all your procedures into actions and keeps your team out of the busywork.
No. Rules are written in plain logic your ops team can read and edit. There is no code and no dependency on vendors.
Absolutely. Simple rules chain into evaluation sequences, so a release that depends on several conditions runs as a single evaluation chain.
Time-based (a date or deadline), activity-based (a payment or balance event), and documentation-based (a verified document).
Every edit creates a new version. Live transactions keep running on the version that applied when they started, and the change is logged.
Hudson ships with pre-built rules and chains for common specialty-deposit-related activities. They're all editable, and most teams can start working with rules after initial platform onboarding and training.