Director of Treasury
Review and approve payment runs
What You Do Today
Authorize large payment batches, verify payment details for high-value wires, and ensure proper controls around payment execution to prevent fraud.
AI That Applies
Payment fraud detection — AI screens outgoing payments for anomalies: changed bank details, unusual amounts, first-time payees, and patterns consistent with business email compromise.
Technologies
How It Works
For review and approve payment runs, the system draws on the relevant operational data and applies the appropriate analytical models. The processing layer applies the appropriate analytical models to the structured data, generating scored outputs that surface the most actionable insights. The results integrate into the practitioner's existing workflow — presenting recommendations, flags, or automated outputs alongside their normal working context.
What Changes
The AI catches the fraudulent payment before it goes out: 'This vendor's bank details changed 2 days ago, originated from a different email domain than the usual AP contact.'
What Stays
The approval decision, exception handling, and managing the balance between payment efficiency and control — that's your risk judgment.
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.
Establish Your Baseline
Know where you are before you move
Before adopting AI tools for review and approve payment runs, understand your current state.
Without a baseline, you can't measure whether AI actually improved anything. You'll adopt tools without knowing if they're working.
Define Your Measures
What to track and how to calculate it
Time per cycle
How to calculate
Measure how long review and approve payment runs 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.
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 review and approve payment runs?”
They're prioritizing which finance processes to automate first
your ERP or finance systems admin
“Who on our team has the deepest experience with review and approve payment runs, 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 review and approve payment runs, 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
Check Your Prerequisites
Confirm readiness before you invest
Check items as you confirm them.