Case Study Details

We Reduced Our Forecast Cycle Time by 80%

We cut our forecast cycle from three weeks to two days. Lucen's AI doesn't just surface numbers — it tells us what the numbers mean and what we should do next.
We Reduced Our Forecast Cycle Time by 80%

We Reduced Our Forecast Cycle Time by 80%

Across every finance function, the same pattern kept emerging. Teams were capable, motivated, and well-resourced — but the infrastructure holding their workflows together was built for a different era. Forecasts went stale before they were delivered. Variances were explained weeks after the window to act had closed. Reports took days because no one had time to pull the data. The problem was never the people. It was the gap between what needed to happen and what manual processes alone could sustain.

That's exactly where AI-powered finance changes the equation. Not a single dashboard showing one metric in isolation — but a connected intelligence layer, continuously ingesting live data, recalibrating assumptions, and surfacing the insight the finance team needs before they know to ask for it. Meridian Capital didn't just automate a process. They rebuilt how their finance function operates at a fundamental level — and the results reflect that shift in every metric that matters.

What They Set Out to Solve
Eliminate Forecast Lag Entirely

Forecasts were being refreshed monthly, meaning leadership was making decisions on information that was already 30 days old by the time it reached them.

Accelerate Variance Analysis at Scale

Manual variance commentary was consuming the entire senior analyst team every close cycle, leaving no capacity for forward-looking work.

Automate Rolling Cash Flow Updates

Cash positions were being modeled in Excel, updated weekly by hand, and consistently missing by a margin that created unnecessary credit draws.

Unify Data Across Disconnected Systems

ERP data, CRM pipeline, and payroll feeds lived in separate systems with no automated reconciliation — creating a single source of truth problem that affected every report.

The Results
80%
Reduction in forecast cycle time from three weeks to two days.
94%
Variance explanations generated automatically without analyst intervention.
22%
Improvement in 90-day cash flow forecast accuracy within the first quarter.

Conclusion

Lucen didn't replace Meridian's finance team. It gave them back the hours, the clarity, and the bandwidth to do their most valuable work. And because the models learn continuously, the accuracy didn't plateau at day 30 — it kept compounding. That's the difference between a reporting tool and an intelligence that works alongside you.

Every Win Powered by Agent Intelligence.
Case Study :
We Reduced Our Forecast Cycle Time by 80%
Category :
AI in Finance
Date :
May 2, 2026
Industry :
Marketing & Advertising
Deliverable :
Multi-Agent Reporting System
Timeline :
3 Weeks
Client Size :
Mid-Market
Region :
North America

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