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Financial Services

Operations intelligence on top of your accounting, banking, and reporting stack. Auditable by default. No autonomy on anything regulators care about.

Financial Services operating environment · representative photograph of the work this industry runs.
01Operating reality

What the work usually looks like.

A finance-led operation running on QuickBooks Enterprise, NetSuite Financials, or Oracle, plus Plaid / Stripe / payroll. The CFO and finance lead spend a third of the week on data wrangling. Investor or board reporting takes days to assemble from systems that should already know.

SYSTEM SKETCHFinancial Services· Financial ServicesSYSTEMS OF RECORDORCHESTRATIONHUMAN GATEQuickBooksNetSuiteSage IntacctPlaidStripeAI LAYERFinancial ServicesREAL-TIME RUNWAY, BURN RATE…TRANSACTION CATEGORIZATION…AP/AR TRIAGE: INVOICE OCR,…INVESTOR-UPDATE DRAFTING FR…ControllerREVIEWERApproveRejectAskLAYER, NOT REPLACEMENT · HUMANS ON EVERY CONSEQUENTIAL DECISION
Typical systems we sit overQuickBooksNetSuiteSage IntacctPlaidStripeVeryfiBrex / Ramp
02Bottlenecks

Where we tend to find the constraint.

  • Misclassification rates of 8–15% out of QuickBooks distorting category reporting
  • Board pack assembly eating two days of senior finance time per cycle
  • Late or rough investor updates because pulling the numbers is the bottleneck

8–15%

misclassification rate out of QuickBooks before any controller review, distorting category reporting and slowing investor-update assembly.

03Workflows we ship

What we typically build for operations like yours.

01

Real-time runway + MRR

Trigger

Nightly reconciliation or transaction commit

AI step

Reconcile sources; recompute runway + MRR/ARR breakdowns

Human review

CFO approves any categorization-rule change

Output

Dashboard updates; Slack alert on threshold crosses

02

Transaction categorization

Trigger

New transactions land in QuickBooks / NetSuite

AI step

Categorize; flag anything below confidence threshold

Human review

Controller reviews flagged items

Output

Categorization commits to ledger with named audit row

03

AP/AR triage

Trigger

Invoice received via email or upload

AI step

OCR + match to PO; propose approval routing by amount

Human review

Approver per threshold: manager · controller · CFO

Output

Approved invoices scheduled for payment; audit trail attached

04

Investor update drafting

Trigger

Monthly close or investor cadence

AI step

Draft narrative from live numbers + prior updates

Human review

CFO reviews and revises before send

Output

Update sent via email or portal; archived with version history

04Why HITL matters here

Where the human gate goes, specifically for this industry.

In financial services the audit trail is the deliverable. Every approval (categorization override, invoice approval, investor update send) carries a name and a timestamp, and the audit log is queryable a year later.

Sample approval surface

Subject

Invoice INV-2026-118 mis-coded OPEX vs CAPEX, $42k Marketing-Software vendor

Flagged
  • Vendor reclassified mid-year
  • Crosses the capitalization threshold by $1.8k
  • Prior period coded inconsistently
Approver

Controller

05Reference builds

Related work we’ve shipped.

Financial Services

AI Finance Operations

Sits over QuickBooks + Plaid + Stripe

Real-time runway; investor updates in hours, not weeks

Read the case →

Next step

Have an operation in this shape?

We'll start with a 2-week Discovery against your real systems. If we're not a fit we'll say so on the call and point you somewhere useful.

Discuss your operationSee the four-phase model