The AI finance cockpit for live visibility on cash, profitability, and financial control.
microLM Ledger gives finance teams an AI decision cockpit built on the shared microLM data and intelligence layer. It brings together ERP, planning, and reporting signals so teams can see performance clearly, understand what changed, and act faster.
microPilot sits inside Ledger to answer questions, explain drivers, surface issues, and recommend the next best actions.
Track cash position and short-term cash forecasts across 7, 30, and 90 day horizons.
Monitor DSO, DPO, and DIO with trends, anomalies, and changing drivers over time.
See margin by product, customer, and region with top and bottom performers surfaced automatically.
Compare P&L versus budget by cost center with AI-generated variance narratives and follow-up prompts.
Unify cash, P&L, working capital, and margin views in one place instead of separate reports.
Use microPilot to explain unexpected variance, deteriorating performance, and emerging risk.
Move from descriptive finance reporting to guided decisions on cash, profitability, and control.
That shared foundation means finance can work from the same trusted business context as sales, operations, marketing, service, and leadership. Start with Ledger or deploy it as one part of the broader suite.
Answers for finance teams evaluating cash visibility, working capital insight, profitability monitoring, and AI-guided finance decision support.
microLM Ledger is designed to give finance teams an AI cockpit for cash, working capital, profitability, and budget-versus-actual performance so they can move from static reporting to guided decisions.
Ledger is built for questions about cash position, short-term liquidity, DSO and DPO movement, margin by product or customer, and which variances need attention first.
Ledger surfaces working capital metrics such as DSO, DPO, and DIO with trends, anomalies, and likely drivers so finance teams can spot deterioration and respond faster.
Yes. Ledger is designed to explain margin shifts, budget variances, and performance exceptions with evidence-backed narratives and guided follow-up questions.
Ledger can be deployed as a focused finance module or as part of the broader suite. When it runs on the full intelligence layer, finance can connect its view to sales, operations, and customer signals.
