Case File 04 · Automation
Scaling exception-aware invoice automation
Representative — financial services (AP)
▸ ENGAGEMENT DETAILS
Representative scenario modeled on published industry benchmarks. Not a named client.
The Challenge
A representative financial-services group processes invoices manually across eight business units, and it is the exceptions that cost it.
Ardent Partners' 2024 ePayables benchmark puts the typical cost to process an invoice at $12.88 against $2.78 for best-in-class, and typical cycle time at 17.4 days against 3.1. Typical straight-through processing sits near 33% against roughly 49% best-in-class, with an exception rate of 22% against 9%.
Where RPA has already been tried, it has generally automated the clean path and handed everything else back. Deloitte and EY put 30-50% of RPA programs at or below expectations, and roughly half never scale past pilot — which is exactly where the remaining manual effort accumulates.
Our Agent Solution
We implement FlowAgent across the invoice lifecycle — ingestion, extraction, three-way matching, approval routing, and above all exception handling. Extraction models are tuned and evaluated on the client's own historical invoice corpus under a signed data agreement and validated against the AP team's corrections. A validation agent checks duplicates, policy, and budget availability; anything outside tolerance is routed to a named approver with the supporting evidence attached. The design goal is that the AP team moves from keying invoices to adjudicating exceptions — not out of the loop.
Intake Agent
Receives invoices via email, portal, and EDI, then normalizes them to one internal format
Classification Agent
Identifies invoice type and vendor, and routes to the correct business unit
Processing Agent
Extracts line-level data and performs three-way matching against POs and receipts
Validation Agent
Checks for duplicates, policy compliance, and budget availability before anything is approved
Routing Agent
Routes exceptions to a named approver with the evidence and the reason for the exception attached
Implementation Timeline
A representative 8 weeks delivery path, from discovery to handover.
Process Mapping
Documented invoice workflows, the exception taxonomy, and approval hierarchies with the AP team
Weeks 1-2
System Design
Designed the agent pipeline and the documented integration contracts with the ERP and banking systems
Weeks 3
Build & Evaluation
Built the agents and tuned and evaluated extraction on the client's own historical corpus under a signed data agreement, validated against AP review
Weeks 4-6
Parallel Run & Handover
Ran in parallel with the manual team, compared accuracy and cycle time against the recorded baseline, then phased cutover with a documented rollback path
Weeks 7-8
Target ranges — and today's baseline
Both sets of figures are drawn from published research, not from VelocityMind client results. Targets are the ranges this scenario is scoped against; baselines describe where the status quo sits. Actual results depend on your data, systems, and scope.
Faster invoice processing
Source · Deloitte — IDP in finance, 60-80% less processing time
70%
Of adopters report better quality and accuracy
Source · Deloitte RPA survey — realized benefits
90%
Typical payback period
Source · Deloitte RPA survey
<12 mo
Where the baseline sits today
Published measurements of the problem, shown so the target ranges above can be read against something. These are not outcomes we delivered.
Typical cost to process one invoice today
Source · Ardent Partners ePayables 2024 — vs $2.78 best-in-class
$12.88
What ships — and what stays human
The artifacts you own at handover, and the decisions the agents never take.
▸ DELIVERABLES
What you receive
- Invoice agents running in your environment against your own ERP and banking integrations
- Documented exception taxonomy and routing rules, agreed with your AP team
- Evaluation suite with a recorded pre-deployment baseline for accuracy and cycle time
- Approval and audit trail design, plus a documented rollback path
- All source code in your repository, with the deployment owned by your team
▸ GUARDRAILS
What stays human
- No payment is released by an agent. Approval stays with a named human approver under your existing authority matrix.
- Every exception is routed with the reason and the supporting evidence, so the decision is reviewable after the fact.
- The system runs in parallel with the manual process before cutover, so accuracy is measured, not assumed.
- Extraction confidence thresholds are yours to set — below the threshold, the invoice goes to a person.
Method and sources
This scenario is constructed, not reported. Every figure on this page traces to one of the published sources below.
Per-invoice cost $12.88 typical vs $2.78 best-in-class; 17.4 vs 3.1 days; straight-through ~49% vs ~33%; exception rate 9% vs 22%
Ardent Partners ePayables 2024
IDP in finance: 60-80% less processing time, 50-70% lower cost
Deloitte
Realized RPA benefits: quality/accuracy 90%, compliance 92%, productivity 86%; payback under 12 months
Deloitte RPA survey
30-50% of RPA programs fail or underperform expectations; ~50% never scale past pilot
EY / Deloitte / Gartner
Ranges are published industry benchmarks. They describe what programs of this shape have achieved elsewhere, not a commitment for your environment — the range we would scope against for you is set after discovery.
A representative perspective
“Our AP team moved from keying invoices to handling exceptions. Touchless processing climbed and month-end stopped requiring weekend overtime.”
▸ NEXT STEP
Run this against your own workflow
Send us one workflow, its monthly volume, and the systems it touches. We reply within one business day with a first read on whether an agent system is the right tool, the agent shape we would propose, and an engagement range.
No commitment. We reply within one business day.