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Director of Treasury

Manage FX exposure and hedging program

Enhances✓ Available Now

What You Do Today

Identify foreign currency exposures from international operations, execute hedging strategies, and track hedge effectiveness for accounting purposes.

AI That Applies

FX risk analytics — AI models exposure scenarios, recommends optimal hedge ratios, and monitors effectiveness in real-time against accounting standards.

Technologies

How It Works

The system ingests effectiveness in real-time against accounting standards as its primary data source. The processing layer applies the appropriate analytical models to the structured data, generating scored outputs that surface the most actionable insights. The output — optimal hedge ratios — surfaces in the existing workflow where the practitioner can review and act on it.

What Changes

Exposure identification is continuous instead of monthly. The AI catches a new FX exposure from an operational contract before it becomes material and unhedged.

What Stays

Hedging strategy — how much risk to accept, which instruments to use, and when to adjust — requires market judgment and risk appetite alignment with the CFO.

What To Do Next

This section won't tell you what your numbers should be. It will show you how to find them yourself. Every instruction below produces a real, verifiable result in your organization. No benchmarks, no projections — just the steps to build your own evidence.

1

Establish Your Baseline

Know where you are before you move

Before adopting AI tools for manage fx exposure and hedging program, understand your current state.

Map your current process: Document how manage fx exposure and hedging program works today — who does what, how long it takes, where the bottlenecks are. You need this baseline to measure improvement.
Identify the judgment points: Hedging strategy — how much risk to accept, which instruments to use, and when to adjust — requires market judgment and risk appetite alignment with the CFO. These are the boundaries AI won't cross.
Assess your data readiness: AI tools for this area need data to work. Check whether your organization has the historical data, integrations, and data quality to support Chatham Financial tools.

Without a baseline, you can't measure whether AI actually improved anything. You'll adopt tools without knowing if they're working.

2

Define Your Measures

What to track and how to calculate it

Time per cycle

How to calculate

Measure how long manage fx exposure and hedging program takes end-to-end today, then after AI adoption.

Why it matters

The most visible improvement is speed. If AI doesn't save time, question whether it's adding value.

Quality of output

How to calculate

Track error rates, rework frequency, or stakeholder satisfaction scores before and after.

Why it matters

Speed without quality is just faster mistakes. Measure both.

When to check: Check after 30 days of consistent use, then quarterly.
The commitment: Give new tools at least 30 days before judging. The first week is always awkward.
What NOT to measure: Don't measure AI adoption rate as a KPI. Adoption follows value — if the tool helps, people use it.
3

Start These Conversations

Who to talk to and what to ask

your CFO or VP Finance

What data do we already have that could improve how we handle manage fx exposure and hedging program?

They're prioritizing which finance processes to automate first

your ERP or finance systems admin

Who on our team has the deepest experience with manage fx exposure and hedging program, and what tools are they already using?

They know what automation capabilities exist in your current stack

your FP&A counterpart at a peer company

If we brought in AI tools for manage fx exposure and hedging program, what would we measure before and after to know it actually helped?

They can share what worked and what didn't in their AI rollout

4

Check Your Prerequisites

Confirm readiness before you invest

Check items as you confirm them.