Source and transaction mapping
Map identifiers, events, amounts, dates, actors, and relationships across systems.
NexLedger implementation partner
Deploy transaction intelligence across the systems where finance actually happens.
Infalytics configures and integrates NexLedger as a governed intelligence layer over CRM, ERP, billing, revenue, accounting, and audit evidence.
NEXLEDGERControl plane
CRMCPQOMBillingRMCSARGLAudit Where it fits
A governed layer above existing systems—not another rip-and-replace program.
NexLedger resolves records from different applications into one transaction story. Infalytics makes that story operational by mapping source data, configuring policies, designing exception workflows, and embedding the platform into close, assurance, and transformation processes.
SalesforceOracle OMBillingRMCSARGL
Connected through secure ingestion and canonical mapping
Transaction GraphPolicy RuntimeAI ReasoningEvidence Store
Delivered into governed finance workflows
ExceptionsApprovalsClose ReadinessAudit Evidence
What we implement
The full operating capability around the platform.
Canonical data model
Create a consistent representation of quote, order, invoice, revenue, cash, and journal context.
Policy and materiality rules
Configure financial policies, thresholds, approval gates, and evidence requirements.
Exception workflows
Design ownership, triage, investigation, recommendation, approval, and closure paths.
Evidence automation
Connect source records, decisions, controls, timestamps, and approvals into replayable packages.
Operating model
Define roles, runbooks, service levels, adoption measures, and continuous improvement.
Priority use cases
Start where financial exposure and operational friction are visible.
Revenue exception management
Prioritize mismatches by exposure, close impact, and evidence sufficiency.
Billing assurance
Detect quantity, price, schedule, tax, and account inconsistencies before they compound.
Quote-to-cash lineage
Trace commercial intent through order, invoice, revenue, cash, and accounting.
ERP transformation validation
Compare expected target design with actual transaction behavior during testing and stabilization.
Audit evidence automation
Generate support that connects source data, policy basis, decisions, and approvals.
AI control plane
Allow agents to investigate and recommend without bypassing finance policy or human authority.
Deployment path
Prove one transaction journey, then scale the pattern.
Assessment
Select the workflow, systems, evidence needs, and measurable exposure.
Connected pilot
Map representative transactions, configure core policies, and validate investigation outputs.
Production deployment
Harden integrations, access, controls, monitoring, and user workflows.
Expansion
Add transaction types, business units, controls, agents, and operating teams.
Start with one workflow
Turn a high-value problem into a working AI capability.
Tell us what you need to improve, which systems or sources are involved, and what success should look like. We will recommend the right platform, pilot, and deployment path.
Start your assessment