AI in Treasury: see it in action.
A curated library of demo recordings showing how CFGI deploys AI across treasury operations.
Treasury AI in practice.
CFGI Intraday Liquidity Reporting Agent
Why We Posted This Example
Throughout the day, banking Treasury functions must prove they can meet every obligation as it comes due, across every account, settlement system, and funding source. For organizations approaching Category 2 designation under enhanced prudential standards, intraday liquidity monitoring is a core risk management capability that determines whether the bank can settle obligations in real time, optimize capital deployment, and satisfy heightened supervisory expectations, including timely, accurate submissions of LCR, NSFR, and FR 2052a.
What the Demo Shows
An AI agent monitors consolidated intraday liquidity position continuously throughout the trading day, surfacing risk, generating narrative, and escalating alerts without waiting for a human to pull a report. It runs across four integrated views: opening position summary, regulatory buffer status, intraday cumulative flow tracker, and upcoming large payment obligations.
The demo simulates a stress event: a $5B unexpected outflow at 3:00 PM CT triggers two simultaneous medium-severity alerts with deadlines, escalation paths, and required actions surfaced immediately.
Across both normal and stress conditions:
- Speed — Position updates and re-forecasts happen instantly
- Reliability — Every figure traces back to validated source data
- Answers on Demand — Analysts query the agent directly
- Audit-Ready Governance — Agent reads validated outputs and never writes them
CFGI Multicurrency Bank Reconciliation Agent
Why We Posted This Example
Daily, banking Treasury functions must prove that what their internal systems say happened match the bank's actual statements, across every currency, every counterparty, and every settlement. The reconciliation process is a direct upstream dependency of regulatory reporting, including LCR and FR 2052a submissions, that Treasury is constantly scrutinized for.
What the Demo Shows
An AI agent completes a large volume bank reconciliation that previously took six hours in minutes. It reconciles trades across six currencies (AED, AUD, EUR, MXN, SGD, USD) through a six-phase pipeline:
- Exact matches
- Fuzzy bank name matching
- Date-windowed matching
- Multi-transaction subset sum matching
- Machine learning classification
- Control check pass
Matches are scored High, Medium, or Low confidence. Failures are flagged for human review. Low-confidence matches are held in Draft until a human approves.
Talk to the team behind the work.
Reach out to David or Carina to discuss how CFGI can deploy AI in your treasury function.
