Finance Operations

Your AP team shouldn’t need five systems and three email threads to process one invoice.

Manual AP, invoice processing, and spreadsheet-heavy reporting consume finance capacity that should go toward control and visibility. I help CFOs and Controllers identify the workflows where AI and automation reduce work without breaking auditability.

Where finance automation usually fails

The issue is rarely the model. It is usually exception handling, weak control points, or rules that only work in the demo.

AP automation fails when exceptions live outside the workflow and still need manual review in email

Approval routing breaks when thresholds and routing logic are spread across people instead of systems

Duplicate detection misses problems when vendor data is inconsistent or payment steps are not integrated

Reporting still depends on manual exports because no one trusts the source-of-truth layer

Controls weaken when teams automate the routine cases but leave the exception path undocumented

Adoption stalls when AP, finance, and ops do not agree on who owns each handoff

What I look for first

  • High-volume invoice flows where the same vendor formats repeat every week
  • Approval chains that already follow rules but still rely on inbox triage
  • Duplicate-payment risk that can be reduced with controls before money leaves the system
  • Payout and reconciliation work that scales linearly with transaction volume
  • Month-end reporting that still depends on manual exports and spreadsheet cleanup
  • Finance teams adding headcount because the workflow has not been redesigned
  • Auditability requirements that make “just automate it” an incomplete answer

Where AI can help

Start with the workflows that are repetitive, rule-based, and expensive to touch by hand.

  • Start with invoice extraction when formats are repetitive and line items are structured enough to parse reliably
  • Automate approval routing when business rules already exist and the bottleneck is human triage
  • Detect duplicates before payment when vendor records and controls can be wired into the flow
  • Automate payout reconciliation and exception handling when the exception rate is manageable
  • Replace month-end spreadsheet pulls with trusted reporting from one reporting layer
  • Connect ERP, banking, and document systems so the workflow does not depend on copy-paste
  • Use AI to reduce repetitive AP work, but keep humans on the true exception path

Typical outcomes

Executives buy outcomes, not automation for its own sake.

40-70% less manual AP work

Reduce repetitive invoice handling and keep humans on exceptions

Faster month-end close

Replace spreadsheet stitching with trusted workflows and cleaner inputs

Fewer duplicate payments

Build controls that catch avoidable errors before money leaves the system

Better audit trail

Keep approval logic, exceptions, and controls visible end to end

What the assessment includes

The AI Opportunity Assessment for finance teams maps your highest-ROI opportunities across AP, approvals, payouts, and reporting, with the controls and dependencies laid out clearly.

  • Current workflow review across AP, approvals, payouts, and reporting
  • Exception rate and handoff analysis
  • ROI estimates tied to labor cost, cycle time, and control improvements
  • Prioritized implementation roadmap
  • Build-vs-buy recommendations for AP and document automation
  • Vendor and tooling recommendations
  • Data and integration requirements with ERP and banking systems
  • 90-day implementation plan

Why I can speak to finance operations

These are systems I helped build and ship, not abstract finance concepts.

Find the AP and payout workflows worth automating first.

Start with a practical roadmap and control-aware ROI estimates before committing to a full implementation.