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AI Engineering for Product Company Finance

We automate revenue recognition, commission calculations from CRM data, and ARR reporting across multiple systems — built and operated for you.

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What We Automate

We don't know every problem in your operation. You do. These are the types of work we engineer AI for. You tell us where it hurts most.

Billing, Payments & Reconciliation

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Revenue recognition and commission calculations matched and reconciled automatically.

revenue recognition commission calculations payment reconciliation

Report & Dashboard Consolidation

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ARR, MRR, and financial metrics from multiple systems in one real-time dashboard.

ARR/MRR tracking cohort analysis board reporting

Data Entry Automation

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Your team re-types data from one system to another. We eliminate that.

CRM data exports contract terms billing records

Compliance & Audit Readiness

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ASC 606 documentation and financial compliance kept audit-ready at all times.

ASC 606 compliance SOX controls audit documentation

Risk & Anomaly Detection

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Revenue leakage and billing discrepancies caught before they impact your financials.

billing errors revenue leakage commission disputes

Report & Document Drafting

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Board decks and investor updates drafted from financial data automatically.

board decks investor updates financial narratives
See How We Work →
Case Studies Pricing

Common Questions About AI for Product Company Finance

How do we start?
We start with a 2-week AI Roadmap. Our engineers spend time inside your finance operation — watching your team calculate revenue recognition, mapping your commission flows, measuring your volumes. The output is a ranked list of workflows by ROI, with implementation timelines and expected savings. No commitment to build beyond the roadmap.
What does my team do differently on day 1?
Almost nothing. The first workflow runs alongside your existing process — AI processes commission data in parallel while your team works normally. Once accuracy is validated (typically 2-3 weeks), we switch over. Your finance team starts reviewing AI-calculated outputs instead of building spreadsheets. The transition is gradual, not a big bang.
How does this work with our financial systems?
We build on top of your existing systems. We integrate with NetSuite, Salesforce, Stripe, and every major ERP and billing platform. The AI layer connects systems that don't talk to each other today. Your IT team keeps managing infrastructure. We build the automation that sits between your systems.
What about ASC 606 and complex revenue recognition?
Every workflow we build handles revenue recognition complexity. For ASC 606 compliance, the AI applies your contract terms and calculates allocations — your finance team reviews and posts. We maintain audit trails for every automated calculation. The AI doesn't make accounting policy decisions; it eliminates the manual computation work.
How do we measure success?
We define success metrics with you before building anything. Typical metrics: commission calculation time, revenue recognition accuracy, ARR reporting speed, and month-end close duration. We set up dashboards that show before/after in real-time. If the numbers don't improve within 90 days, we fix it on our dime.
What's the total cost for year 1?
Two options. Per Workflow: $25K-$75K per workflow, best for starting with one high-impact process like commission calculations or revenue recognition. Dedicated Team: ~$22K/month for 2+ AI engineers embedded in your operation, building multiple workflows continuously. Most finance teams start with one workflow, prove the ROI, then move to a dedicated team.

Your revenue recognition shouldn't depend on spreadsheets.

Book a free 30-minute AI Assessment. We'll map your highest-volume finance workflows and show you the 3 processes with the highest ROI.

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