The Challenge
Finance teams are trapped in the close cycle and compliance treadmill
Manual reconciliations, spreadsheet-based planning, and reporting burdens consume finance bandwidth that should go to strategic analysis.
Close Cycle Length
The average enterprise takes 8–10 days to close monthly books. Reconciliations, intercompany eliminations, and manual journal entry review create bottlenecks that delay reporting.
FP&A Bandwidth Constraints
FP&A teams spend 70% of their time gathering and formatting data, leaving 30% for the analysis that actually drives business decisions.
Regulatory Reporting Burden
SOX, IFRS 17, ASC 842 lease accounting, and tax reporting require manual data extraction and transformation. Each new requirement adds headcount rather than leveraging existing data assets.
Cash Flow Forecasting Accuracy
Cash flow forecasts based on historical averages and static models miss seasonal patterns, customer payment behavior changes, and working capital dynamics, creating liquidity risk.
Education AI Solutions
AI systems for finance operations, FP&A, and compliance
Intelligent Close Automation
AI that automates routine journal entries, flags reconciliation exceptions, and prioritizes human review on high-risk items, compressing close cycles from 10 days to 3.
FP&A Copilot
LLM-powered analyst that answers natural language questions about financial data, generates variance commentary, and builds first-draft board presentations from underlying data.
Cash Flow Forecasting AI
ML models trained on historical payment patterns, AR aging, and business signals to generate rolling 13-week cash flow forecasts with confidence intervals.
Regulatory Report Generation
AI that extracts required data from ERP and GL systems, applies the required transformations, and generates disclosure-ready reports for SOX, IFRS, and tax purposes.
Accounts Payable Automation
AI invoice processing that extracts line items, matches to POs, identifies exceptions, and routes for approval, achieving 85%+ touchless processing rates.
Audit Support AI
Systems that provide auditors with instant access to supporting documentation, transaction populations, and control evidence, reducing audit preparation time and external audit costs.
End-to-End Implementation
End-to-end AI implementation for finance
Solnix delivers the full lifecycle, from opportunity mapping through production deployment and continuous improvement. The same proven methodology powers every finance engagement, tailored to your systems, data, and workflows.
Discovery & AI Opportunity Mapping
We start by understanding your operations, data landscape, and goals, then map where AI delivers measurable value and where it does not. Every engagement begins with a prioritized opportunity backlog, not a technology pitch.
Data Foundation & Readiness
AI is only as good as the data behind it. We assess data quality, connect fragmented sources, and build the secure, governed pipelines that production AI depends on, with privacy and compliance designed in from the start.
Model & Agent Development
We build the models, retrieval systems, and AI agents tailored to your use cases, selecting the right approach (fine-tuning, RAG, multi-agent orchestration) for accuracy, cost, and latency, and validating against your real-world edge cases.
Integration & Workflow Embedding
AI only creates value when it lives inside the tools your teams already use. We embed models and agents into existing systems, surfaces, and workflows, so adoption is natural and human-in-the-loop controls stay in place.
Deployment, Security & Compliance
We deploy to production with the security, monitoring, and compliance controls enterprises require, including bias and fairness testing, audit logging, and the observability needed to operate AI responsibly at scale.
Optimization & Continuous Improvement
AI systems improve with use. We measure outcomes against the goals set in Phase 01, retrain and tune from live feedback, and expand to the next set of use cases, turning a single deployment into a compounding capability.
Methodology
How Solnix Builds Finance AI
01, Finance Process Mapping
01, Finance Process Mapping
We map your close process, FP&A workflows, and reporting calendar, identifying the highest-value automation opportunities and the data infrastructure required to support them.
02, ERP & GL Integration
02, ERP & GL Integration
We integrate with SAP, Oracle Fusion, NetSuite, Workday Financials, and custom GL systems. AI processes journal entries, reconciliations, and subledger data within existing ERP workflows.
03, Controls & Audit Trail Design
03, Controls & Audit Trail Design
Finance AI must meet SOX and internal audit requirements. We build complete audit trails for AI-generated entries and decisions, with human approval workflows for material transactions.
04, CFO Dashboard Build
04, CFO Dashboard Build
We build executive finance dashboards that surface AI-generated insights, variance alerts, cash forecast updates, and close status, in the format CFOs and finance leaders need to act quickly.
05, Continuous Model Improvement
05, Continuous Model Improvement
Finance AI models are recalibrated quarterly against actual outcomes. Close cycle time, forecast accuracy, and exception rates are tracked as primary success metrics.
FAQ
Questions from CFOs, controllers, and FP&A directors
Get Started
Close Faster. Forecast Better. Report with Confidence.
Solnix builds finance AI that frees your team from the close treadmill and gives CFOs the intelligence they need to drive strategic decisions.
Request a Finance AI Assessment →