AI agents for enterprise finance operations

LayerNext AI agents complete the full invoice-to-ERP workflow on any system, whether cloud, desktop, or legacy, including those without an API.

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Autonomous AP & Exception Handling

Agents capture, validate, and PO-match every supplier invoice at volume, then route only true exceptions to your team as tagged tasks.

  • Two- and three-way matching with vendor rules
  • Messy, scanned invoices read without templates
  • Exceptions by invoice, supplier, and issue type
Diagram showing multiple expense entries from apps like Uber Eats, Google, and Starbucks converging into a central software, which then connects to accounting platforms QuickBooks, Xero, and Sage.Diagram showing multiple expense entries from apps like Uber Eats, Google, and Starbucks converging into a central software, which then connects to accounting platforms QuickBooks, Xero, and Sage.
Illustration showing integration of multiple bank statement icons including Scotiabank and Bank of America with accounting software QuickBooks via an intermediary app.Illustration showing integration of multiple bank statement icons including Scotiabank and Bank of America with accounting software QuickBooks via an intermediary app.

Real-time Bank Reconciliation

Transactions are matched against bank feeds and statements as they land, so month-end becomes a review, not a multi-day fire drill.

  • Real-time matching across accounts and entities
  • Discrepancies surfaced early, not at close
  • Close timelines measured in days saved
Dark digital circuit-like lines with icons representing data analysis, settings, security, and user connections on a black background.

Enterprise-grade security  
built into every workflow.

See how LayerNext protects your data

Custom Workflows & Business Rules

Define approval chains, GL structures, and entity-specific rules once in plain English. The agent enforces them on every transaction, every time.

  • Per-entity rules managed by finance, no IT tickets
  • Indexed rule engine scales thousands of rules
  • New invoice types and approval chains added
Diagram showing multiple expense entries from apps like Uber Eats, Google, and Starbucks converging into a central software, which then connects to accounting platforms QuickBooks, Xero, and Sage.Diagram showing multiple expense entries from apps like Uber Eats, Google, and Starbucks converging into a central software, which then connects to accounting platforms QuickBooks, Xero, and Sage.
Illustration showing integration of multiple bank statement icons including Scotiabank and Bank of America with accounting software QuickBooks via an intermediary app.Illustration showing integration of multiple bank statement icons including Scotiabank and Bank of America with accounting software QuickBooks via an intermediary app.

CFO-level Intelligence & Reporting

Cash flow, burn, runway, margin analysis, anomaly alerts, and management reports on demand across every entity, current to today.

  • Insight Board dashboard for processed work
  • Variance and margin analysis across entities
  • Management reports tailored to your KPIs
Dark digital circuit-like lines with icons representing data analysis, settings, security, and user connections on a black background.Dark digital circuit-like lines with icons representing data analysis, settings, security, and user connections on a black background.

ERP and Desktop Automation

Computer-use agents that automate finance work inside the systems you already use, including legacy ERPs, desktop apps, and Windows-based tools with no API.

  • Runs API-less ERPs via your team's interface
  • Navigates screens, retrieves records, and enters data like a human user
  • Automates without rip-and-replace, middleware, or major IT projects
Diagram showing multiple expense entries from apps like Uber Eats, Google, and Starbucks converging into a central software, which then connects to accounting platforms QuickBooks, Xero, and Sage.Diagram showing multiple expense entries from apps like Uber Eats, Google, and Starbucks converging into a central software, which then connects to accounting platforms QuickBooks, Xero, and Sage.

Built for enterprise accounting at scale.

Most accounts payable automation software captures invoice data and stops. LayerNext is the automated AP software that finishes the job, from ingestion through ERP posting and reconciliation.

Invoice Ingestion
Reads all supplier invoices, including unstructured documents beyond templates.
Validation & PO Matching
Two- and three-way invoice matching against purchase orders flags every discrepancy before it reaches the ledger.
Exception Handling
Routes unresolved items to your team as named tasks, tagged by invoice number, supplier, and issue type.
ERP Entry
Posts validated entries directly into any ERP through its own interface, with no middleware.
Reconciliation
Matches every posted transaction against bank feeds and statements as they arrive.
Audit Trail & Compliance
Full accounts payable process automation with complete traceability for compliance, SOX, and audit readiness.

Works with your existing stack

Plugs into your existing stack. AI agents work at the application layer.

Quickbooks Online
Microsoft Dynamics 365
Sage
Quickbooks Desktop
Xero
NetSuite
SAP
Excel-Based Workflows
Freshbooks
Epicor
FieldServio
Legacy and Custom ERPs

Frequently Asked Questions

What is LayerNext?
LayerNext is an agentic finance operations platform for mid-market and enterprise companies. Its AI agents execute accounts payable, bank reconciliation, and financial reporting workflows across the systems finance teams already use.
Which finance workflows can LayerNext automate?
LayerNext automates invoice capture, validation, PO and packing-slip matching, approval routing, ERP entry, bank reconciliation, and financial reporting. You can begin with one workflow and expand automation over time.
Who is LayerNext built for?
LayerNext is built for mid-market and enterprise finance teams managing high transaction volumes, manual processes, multiple locations, or systems that are difficult to integrate. It is particularly valuable for organizations using legacy, desktop, or customized ERP systems.
Can LayerNext work with our existing ERP?
Yes. LayerNext works with cloud, legacy, desktop, and custom ERP and accounting systems. Its agents can operate at the application layer when an API is unavailable, allowing you to automate finance work without replacing your existing systems. Compatibility is validated during the discovery process.
How is LayerNext different from OCR and traditional RPA?
OCR extracts information from documents, while traditional RPA follows predefined steps. LayerNext AI agents interpret financial documents, apply your business rules, complete tasks inside your existing systems, validate their work, and route exceptions to the appropriate person.
How does LayerNext handle approvals and exceptions?
LayerNext is configured around your approval chains, matching rules, tolerances, and validation controls. Transactions requiring approval are routed to the appropriate person, while mismatches and uncertain items are paused for review. Every agent action remains visible and traceable.
How does LayerNext protect our financial data?
Customer data is encrypted in transit and at rest and processed within a single-tenant AWS architecture. Access is controlled, limited, and logged. LayerNext does not use customer financial data to train AI models, and its third-party AI providers are configured not to retain or train on customer data.
How long does deployment take?
Deployment follows a phased approach. Most LayerNext deployments go live in approximately four weeks. More complex workflows can take up to six weeks once system access and workflow requirements are confirmed.
How is LayerNext priced?
Enterprise pricing includes an implementation fee based on workflow and system complexity, followed by a recurring subscription based on automation scope and transaction volume. We provide a tailored proposal after reviewing your workflows.

Send us your ugliest invoices

Send the invoices your current system chokes on. We'll show you live how many of them our agents can read, validate, and prepare for posting

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