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System · Banking

Let any AI agent take governed actions in Fiserv

Fiserv is core banking and payments processing for financial institutions. Upware lets your agents act in it safely — deterministic, policy-bounded, and fully audited, without changing the system.

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Governed by policy & RBAC Full audit trail Outbound-only on-prem bridge No rip-and-replace
The problem

Why agents stall at Fiserv

Fiserv is the operational backbone for thousands of financial institutions — account ledgers, payment rails, transaction records, and customer data all flow through it. Reading that data is relatively straightforward; an agent can query balances or pull transaction history without much ceremony. Acting on it is a different matter entirely. Initiating a payment, updating a customer record, or posting a journal entry requires verified identity, policy-bound limits, AML and KYC checks, and an immutable audit trail — none of which an unharnessed AI agent brings by default. Upware wraps every Fiserv interaction in a governed execution layer: the action is learned once from actual desktop workflows, replayed deterministically at runtime, and every step is logged, attributed, and subject to RBAC before anything touches core banking.

Core banking is critical
Account, transaction, and payment operations are mission-critical and tightly regulated — there is no room for an improvised write.
Legacy interfaces
Core systems expose constrained, often on-prem interfaces that demand controlled, audited access.
Fraud and compliance
Every action is subject to AML, KYC, and fraud controls that must be enforced before execution.
What you unlock

Actions Upware makes safe in Fiserv

Read account and transaction context
Initiate approved transactions within limits
Update customer records within policy
Sync outcomes to CRM and case systems
Log every action for audit
The harness

AI to learn. Deterministic to execute.

Upware learns the process once and encodes it as a mostly-deterministic workflow: system interactions replay exactly, and any LLM steps are wrapped in policy, verification, and audit — so execution stays governed and drift-proof.

O
Observe & Learn
Records the real workflow once, across every system it touches.
G
Generate
Builds the API, data flow, and logic automatically — no integration project.
E
Encapsulate
Wraps it as a governed AI skill over secure MCP or API.
R
Run
Executes deterministically — RBAC, audit, and scale built in.
FAQ

Common questions

How does Upware connect to Fiserv without breaking our security posture?
Upware uses an outbound-only on-prem bridge — nothing inbound is opened on your network. The bridge is deployed inside your perimeter, and all communication is initiated from your environment outward to the Upware cloud control plane. Your Fiserv instance never exposes a new port or accepts inbound connections, and the bridge itself runs with the same access credentials your operators already use.
What stops an AI agent from initiating a transaction outside approved limits?
Every action encapsulated by Upware carries a policy envelope — transaction limits, permitted record types, approved counterparties — defined at authoring time and enforced at runtime before execution reaches Fiserv. The agent cannot override these constraints; they are baked into the governed skill, not passed as LLM instructions. Every attempted action, whether it executes or is blocked, is written to an audit trail with full attribution.
Fiserv's core interfaces are old and have no public API. Can Upware still automate them?
Yes. Upware learns from the actual interface an operator uses today — desktop UI, web requests, screen state — so a formal API is not a prerequisite. It records the workflow, generates the integration from what it observed, and encapsulates the result as a deterministic AI skill. If Fiserv exposes an API for a given function, Upware will prefer that path; where it does not, the UI-learned path is used with the same governance and audit controls applied either way.

Put your agents to work in Fiserv

See how Upware turns a recorded workflow into a governed action in days.

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