Three AI applications. One governed finance platform.
NexLedger builds enterprise AI applications for finance teams that need proof, not just predictions. Each product addresses a distinct problem in the finance, audit, and transaction intelligence workflow. All three share the same transaction intelligence engine, policy runtime, and evidence layer.
TransactionDNA
TransactionDNA creates a connected lineage of enterprise financial transactions across systems. It helps teams detect exceptions, identify root cause, understand downstream impact, and produce evidence-backed remediation workflows.
Every transaction is traced from quote to revenue and cash across Salesforce, Oracle Order Management, Oracle RMCS, Accounts Receivable, billing platforms, and audit tools. The result is a single, cryptographically traceable record that holds up in audit.
Enterprise Reasoning OS
Enterprise Reasoning OS extends TransactionDNA with policy-bound AI reasoning, decision ledgers, simulation, close readiness, and audit replay. It ensures every human or AI-assisted financial decision is connected to transaction context, policy version, actor identity, evidence package, and replayable decision history.
Enterprise finance cannot rely on black-box AI. Every AI-assisted recommendation in the Reasoning OS is scoped to the right tenant and transaction, bound to policy, supported by evidence, restricted by permissions, human-reviewable, logged for audit, and replayable later.
Revenue Close Agent
Revenue Close Agent helps revenue teams close faster by automatically tracing transaction issues across Salesforce, Oracle, RMCS, AR, and billing systems. It identifies revenue-impacting exceptions, recommends remediation, simulates impact, and prepares audit-ready evidence.
Built for SaaS, usage-based, subscription, and hardware/software companies where revenue recognition is complex, multi-system, and audit-scrutinized. The Revenue Close Agent knows ASC 606 and IFRS 15 requirements and can produce evidence packages that satisfy external audit.
Common infrastructure across all three products.
TransactionDNA, Enterprise Reasoning OS, and Revenue Close Agent all run on the same underlying transaction intelligence and governance infrastructure.
Evidence and Audit Trail
Every transaction, exception, remediation, and AI determination is recorded in a structured, immutable evidence store. Finance and audit teams can produce evidence packages for specific transactions, populations, or time periods, supporting SOX testing, external audit, and regulatory review.
- Structured evidence packages per transaction or population
- Immutable audit trail with timestamps and actor records
- Exportable evidence for external audit and regulatory use
- SOX, ASC 606, and internal control framework alignment
Transaction Lineage Graph
A directed graph representation of the full data lineage for every transaction. Nodes represent system records; edges represent data dependencies, transformations, and policy evaluations. Forward and backward traversal for impact analysis and root-cause identification.
- Directed graph across all participating source systems
- Forward and backward traversal for impact and origin analysis
- Policy edge annotations for control enforcement evidence
- Exportable for audit, regulatory, and governance use
Enterprise-Ready Security
Built for regulated enterprise deployment with tenant isolation, role-based access control, read-only auditor access, evidence immutability, and configurable retention. Private AI runtime support and flexible deployment options.
- Tenant isolation and role-based access control
- Multi-tenant SaaS, single-tenant, customer VPC, or private cloud
- Private AI runtime support for regulated environments
- Source-system connector governance
Simulation and Scenario Modeling
Simulate the full financial impact of remediation before committing any action. Model revenue, billing, cash, risk, and close readiness scenarios side-by-side, so finance teams understand downstream consequence before execution.
- Revenue, billing, cash, and risk scenario modeling
- Close readiness projection before and after remediation
- Side-by-side scenario comparison
- Audit trail of simulation runs and decision basis
Ready to deploy enterprise AI that finance teams can trust?
Production-grade. No demo data. Designed for real enterprise finance operations and configured for your system landscape.