Variable pay for banking: DSAs, branch teams, collections and referral channels on one governed engine.
Branch and RM structures alongside external channels, product-level payout policies across liabilities and assets, and approval chains that match how a bank actually signs off on money.
What makes banking different from every other payout problem.
Maker-checker is a hard requirement
Not a feature to enable, a condition of existing. Every payout run moves through approval chains that mirror the bank's delegation of authority.
Heavier approval chains
Multiple sign-offs per policy change and per payout cycle, each recorded, each reconstructable later.
Product-level policies across liabilities and assets
CASA, term deposits, retail assets and third-party products each carry their own payout logic, often to the same payee.
Internal and external channels together
Branch teams and RMs inside the org chart; DSAs, referral partners and collection agencies outside it. One engine holds both hierarchies.
Your first question is "will this survive our audit". Start there.
Approval workflows on every run. Immutable calculation history per line item. Version-controlled policy, so any past cycle can be reconstructed exactly as it was priced. Audit-ready records for internal and regulatory review.
Speed comes second, and it comes: payout TAT down from up to T+25 days to T+4, payout queries down 60 to 70% across implementations.
Live in scheduled commercial banking.

DCB Bank runs on PayPrompt. Tata Capital, the adjacent lending proof, runs sales and collections payouts across employees, DSAs, agencies, call centers and RMs on the same engine.
Bring one policy from one product line.
A working POC on your own policy and data, typically inside 10 days. Enterprise procurement takes what it takes; the technology won't be your bottleneck.
