Hyperautomation for Regulated Banking and Finance
Automate the regulated work that slows your institution down
Hyperautomation combines workflow orchestration, document intelligence, and AI decisioning to run end-to-end banking and finance operations, with a human in the loop where it matters. Built for regulated institutions, designed to be auditable from day one.
Manual processes are where cost and risk accumulate
Onboarding, lending decisions, dispute handling, reconciliation, and compliance reporting still depend on people moving data between disconnected systems. Every handoff adds delay, rework, and exposure.
Hyperautomation is not a single bot bolted onto a legacy core. It is a coordinated layer that connects orchestration, machine learning, document extraction, and rules into one governed flow. The objective is straight-through processing for the routine majority of cases, with clear escalation paths for the exceptions that genuinely need human judgment.
For institutions weighing the cost of legacy operations, the platform is built to target up to 95% lower infrastructure cost versus legacy core stacks, while removing the manual overhead layered on top of them.
End-to-end across the institution
Apply automation where volume is high, rules are well defined, and accuracy is non-negotiable.
Member & customer onboarding
Identity capture, document verification, screening checks, and account provisioning orchestrated into a single auditable flow.
Lending & credit operations
Application intake, document extraction, decisioning support, and exception routing that compress lending turnaround without removing oversight.
Payments & reconciliation
Automated matching, settlement reconciliation, and break investigation across deposits, payments, and FX activity.
Disputes & chargebacks
Case intake, evidence assembly, and status tracking that cut cycle time and improve member experience.
Compliance & reporting
Continuous monitoring, evidence collection, and report generation designed to be inspection-ready, not reconstructed after the fact.
Healthcare finance workflows
Claims, eligibility, remittance, and payment posting automated to remove repetitive administrative load from finance teams.
The administrative burden is measurable
In healthcare finance especially, the case for automation is well documented.
Hyperautomation attacks that waste directly: fewer manual touchpoints, faster cycle times, and a cleaner audit trail that holds up under scrutiny. The same approach serves healthcare organizations and credit unions that run lean operations teams.
Governed, explainable, and compliance-ready
Automation in a regulated institution has to be defensible. Ours is designed that way from the start.
- Human in the loop: people stay in control of judgment calls and high-risk decisions; automation handles the repetitive volume.
- Full audit trail: every action, decision input, and exception is logged for examiners and internal review.
- Explainable AI: model-driven recommendations come with the reasoning and data behind them, not a black box.
- Post-quantum cryptography: sensitive data and automated flows are protected with forward-looking encryption.
- Agile Speed Framework: automations are delivered in tight, measurable increments so you see value early and adjust fast.
- White-label and client-owned: the workflows run under your brand and remain yours.
Orchestrates the systems you already run
An automation layer is only as useful as what it can reach. Ours is built to drive your existing stack in place, not to demand a rip-and-replace before the first workflow goes live.
Core & ledger connectors
Read and post to your core banking system and general ledger through APIs, file feeds, or message queues, so a single orchestrated flow can update the systems of record that examiners trust.
KYC, screening & card networks
Pre-built integration points for KYC/AML and sanctions-screening vendors, card-network and payment-rail messaging, and dispute systems, so onboarding, lending, and reconciliation flows call them as governed steps.
Event triggers & outbound APIs
Workflows start from webhooks, queue events, or scheduled jobs and expose their own results as brandable APIs your applications and partners consume directly.
Where a clean interface does not exist, document intelligence and configurable adapters bridge legacy and third-party systems, keeping your institution's heterogeneous environment in one auditable flow.
Govern the automations, not just their outputs
In a regulated institution, the workflows themselves are a control surface. Who can build, change, and promote an automation is governed as tightly as what it decides.
- Role-based access: RBAC separates who designs a workflow, who approves it, and who can run it, mapped to your operations, risk, and compliance functions.
- SSO and provisioning: federated single sign-on and directory-based provisioning put automation access under your existing identity and joiner-mover-leaver controls.
- Maker-checker promotion: changes move from test to production through reviewed approvals, with versioning and rollback on every workflow.
- Control-level audit log: beyond per-case trails, every edit, approval, and deployment across the automation estate is logged for examiners and internal audit.
Ready to modernize your stack?
Bring us the process that costs you the most time. We will map where hyperautomation removes the manual work, where the controls stay, and what it takes to deliver.
Talk to ACMFrequently asked questions
What is hyperautomation in banking?
Hyperautomation is the coordinated use of workflow orchestration, document intelligence, AI decisioning, and business rules to run end-to-end banking and finance processes. Rather than a single bot, it connects multiple technologies into one governed flow that delivers straight-through processing for routine cases while routing exceptions to people.
Is automated decisioning compliant and auditable?
Yes. ACM builds hyperautomation for regulated institutions, with a full audit trail of every action and decision input, explainable AI that shows the reasoning behind recommendations, and human-in-the-loop controls for high-risk decisions. The goal is inspection-ready evidence rather than reports reconstructed after the fact.
Which processes should we automate first?
Start where volume is high, rules are well defined, and accuracy matters: onboarding, lending operations, payments reconciliation, disputes, compliance reporting, and healthcare finance workflows such as claims and remittance. We map the highest-cost process first and deliver in measurable increments.
How does hyperautomation relate to ACM's AI and data capabilities?
Hyperautomation is the operational layer that puts AI and data to work inside live processes. It uses model-driven extraction and decisioning from our AI and data capability, then orchestrates those outputs into auditable, end-to-end workflows under your brand.