This article is written by our partner, Nilus
Treasury teams are under pressure like never before.
Disconnected systems. Manual month‑end crunches. Limited visibility. Cash that could be put to work, sitting idle.
At Techsommet’s Reimagining Treasury Management Summit 2025, we explored what happens when AI stops being a buzzword and starts being part of your treasury infrastructure.
The conversation featured Flare, a fast‑growing company operating across 25+ bank accounts, multiple countries, and currencies, and how they moved from reactive, manual processes to real‑time visibility and forecasting in just three weeks.
The biggest benefit is reducing the close cycle. We were closing in 20 days, and now we’re closing in 6 days,” — Vikrant Shah, VP Finance & Accounting, Flare
The Reality for Many Treasury Teams
Before AI transformation, Flare’s treasury challenges were common across the industry:
- Monthly forecasting that lagged behind business reality
- Fragmented visibility across ERPs, CRMs, PSPs, and bank portals
- 20+ day month‑end close cycles
- Weeks lost to manual transaction tagging and reconciliation
These challenges aren’t about talent; they’re about infrastructure. Without the right systems, treasury leaders spend their time fighting fires instead of shaping strategy.
What AI‑Powered Treasury Looks Like
When AI becomes part of the infrastructure, the workflow changes dramatically:
- Month‑end close in 6 business days (down from 20+)
- 95–98% of transactions are automatically tagged
- Real‑time cash visibility that updates across all systems
- Forecasting is integrated into day‑to‑day workflows, not tacked on after the fact
- Unified, clean data available to accounting, FP&A, and treasury simultaneously
3 Lessons from This AI Transformation
1. Data chaos is the biggest blocker. AI success starts with clean, connected data.
2. Explainable automation matters. AI should enhance, not replace, human judgment.
3. Speed to value is critical. You don’t need a 12‑month rollout to see impact — Flare implemented in 3 weeks.
Why This Matters for the Future of Treasury
AI in treasury isn’t about replacing people, it’s about replacing outdated processes.
When infrastructure enables real‑time visibility, automation frees teams to focus on strategic decisions, not month‑end firefighting.
More from Nilus
- Essential Treasury KPIs: How to Track and Automate Metrics for Success
- How Cash Management Automation Can Transform Your Business Operations
- Treasury Leaders Interview: The Key to Effective Liquidity Management
- Maximizing Share of Wallet with Banking Partners: A Strategic Approach to Economic Efficiency
- Cash Forecasting in Treasury Management with AI and Automation
- Why Your Manual Reconciliation Process Doesn’t Scale
- The Keys to Managing Cash Across Multiple Banks
- How Freightos moves faster on decisions with real-time cash data and insights
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