How We've Transformed Businesses

Platform payouts bundled dozens of orders into single deposits, making it nearly impossible to reconcile revenue against actual bank transactions. COGS was tracked in a spreadsheet that hadn't been updated in four months. Sales tax obligations across 6 states were tracked on sticky notes. The business was one audit away from a serious problem.

We designed a custom AI pipeline that automatically ingests payout reports, breaks each bundle into individual line items, matches them to bank deposits, and categorizes every transaction — fees, refunds, shipping, and net revenue — into the correct GL accounts. A second module pulls material purchase orders and calculates true COGS per product line. We built a multi-state sales tax tracker that monitors nexus thresholds and generates filing reminders 30 days before deadlines. Everything feeds into a live dashboard that gets reviewed every Monday morning.

Within the first month, Ella Mae Designs discovered they'd been under-pricing their top-selling product line by 18% because packaging cost increases hadn't been accounted for. The Sunday reconciliation ritual went from 4+ hours to a 10-minute dashboard review.

No chart of accounts — expenses were categorized inconsistently or not at all. Subscription revenue was recognized on a cash basis with no deferred revenue tracking. The cap table didn't account for SAFE notes from the pre-seed raise, creating potential problems for the next round. Investor reporting was manual, inconsistent, and always late.

We started with the fundamentals: a proper chart of accounts structured for a tech startup, with categories that map directly to the metrics investors care about — ARR, net burn, gross margin, and runway. Then we built an AI-powered financial ops layer: automated revenue categorization with proper accrual treatment, an expense classification engine trained on Primitive Bits' specific vendor relationships, and an automated monthly investor update generator that pulls real numbers into a clean, professional format. We also cleaned up the cap table and built a dilution modeling tool for Series A planning.

Primitive Bits' investor updates now go out on the 5th of every month — automatically generated, CPA-reviewed, and formatted exactly the way their lead investor wants them. When Series A conversations started, their financial house was already in order.

No unified view across entities — each had separate books with inconsistent chart of accounts structures. Intercompany transactions required manual reconciliation that was error-prone and time-consuming. Performance reporting was built in spreadsheets that broke every time a new entity was added. Distribution calculations were done by hand, and investor reporting was always late. The team spent more time assembling data than analyzing it.

We designed a consolidated financial intelligence layer across all entities. A standardized chart of accounts was implemented across the portfolio, with an AI-powered intercompany reconciliation engine that automatically identifies, matches, and eliminates intercompany transactions during consolidation. We built an automated performance dashboard that tracks returns, cash flow, and key metrics per entity in real time. A distribution calculation engine pulls from actual financials and applies each entity's waterfall structure automatically. Investor reports are generated monthly — clean, professional, and accurate — with CPA review before they go out. The entire system adapts automatically when a new entity is added to the portfolio.

Within the first quarter, Ripple Investment Group identified two underperforming entities that had been masked by strong performance elsewhere in the portfolio. Consolidated reporting went from a week-long quarterly scramble to a real-time dashboard. Investor communications are now on schedule every single month.