Keep approvals human
AI prepares and checks work, while payment releases, vendor changes, and postings stay approved by the right person.
Finance operations
Finance AI Workflow Automation
Automate finance teams: accounts payable approvals, reconciliation, payment controls, month-end close evidence, approval logs, ROI, and pricing.
Owner problem
Finance teams need speed, but cannot tolerate black-box automation.
The best first workflows are high-volume, rule-heavy, and exception-driven: invoices, approvals, reconciliations, vendor changes, and close checklists.
Collect evidence faster
Pull documents, variance notes, reconciliations, and open exceptions into a cleaner close workflow.
Improve traceability
Every AI draft, flag, approval, and override stays tied to source documents and timestamps.
How we help
Build finance workflows with controls first.
1
Map controls: Document who approves what, which systems are authoritative, and which decisions AI must never make alone.
2
Automate preparation: Capture invoices, match POs, draft variance notes, flag vendor changes, and assemble close evidence.
3
Monitor exceptions: Track every approval, override, missing document, duplicate, and payment-risk flag in a dashboard.
Example case
A scoped workflow the buyer can understand before committing.
The first implementation should be narrow enough to launch quickly and important enough to prove ROI. This example shows the kind of workflow we would validate during the consultation.
Case playbookFinance
AP control desk for invoices, approvals, and vendor-change evidence.
Problem: Finance loses time chasing invoice context while risky vendor updates and duplicate-payment clues sit across inboxes and spreadsheets.
Automation: AI captures invoice details, checks them against purchase orders, drafts exception notes, and assembles approval evidence for review.
Guardrail: The system never releases payment, changes vendor banking, or posts journal entries without the mapped human approver.
- Shorter invoice approval cycles.
- More complete evidence trail for exceptions.
- Clearer aging queue by owner and risk.
ROI model
Measure time saved, controls improved, and risk reduced.
Finance automation has value only when the evidence trail improves while cycle time drops.
AP cycle time
Days from invoice received to approved, plus exception aging and bottleneck owner.
Close speed
Hours spent collecting evidence, reconciling accounts, and explaining variances.
Fraud controls
Vendor changes, duplicate invoices, payment method changes, and unusual payment requests.
Traceability
Every AI output tied to source documents, approver, timestamp, and final human decision.
Long term, finance gets a controlled operations layer across ERP, AP inbox, bank workflows, spreadsheets, approvals, and close evidence - with AI preparing work, not hiding judgment.
Fees
Pricing that matches the risk and integration depth.
Start narrow, prove the workflow, then move to managed optimization only if the numbers work.
Control consultation
$1.5K-$3K
Workflow map, system authority review, risk matrix, and pilot ROI model.
Guarded pilot
$8K-$25K
One AP, reconciliation, or close workflow with approvals, evidence, and logs.
Managed controls
$3K-$12K/mo
Monitoring, exception review, integration repair, reporting, and expansion planning.
Implementation plan
What happens after the consultation
Workflow mapIntegration planApproval rulesROI dashboard