Daily MRR/ARR movement analysis, failed payment recovery rate up 35%, 90-day cash flow forecasting, Stripe-QuickBooks reconciliation automated.
Your revenue ops is a spreadsheet that gets updated when someone remembers. MRR calculation happens monthly, maybe, and it is always slightly wrong because nobody accounts for mid-cycle upgrades, downgrades, prorated refunds, and failed payments.
You know your MRR is "around $180K" but you cannot tell the CEO (or yourself) exactly how much of that is new, expansion, contraction, or recovered churn. At $1M-$10M ARR, that lack of precision means you are flying blind. Failed payments are the silent revenue leak. Involuntary churn from failed payments accounts for 20-40% of total churn at most SaaS companies, and most founders do not even have a dunning sequence beyond Stripe\u2019s default retry logic. A $200/month customer whose card expired is not a churned customer, they just need a nudge. But nobody is watching, and $3,000-$8,000 per month in recoverable revenue slips through.
The part-time bookkeeper you hired for $6-18K/year reconciles Stripe payouts against QuickBooks once a month. By the time they catch a discrepancy, a refund that was not recorded, a subscription that was double-charged, a fee that was miscategorized, the information is 4-6 weeks stale. Cash flow forecasting does not exist. You check your bank balance, subtract the next payroll, and hope for the math to work.
Mira is your AI Revenue Ops. Every morning at 8 AM, she sends a Slack message with yesterday\u2019s MRR movement: new subscriptions, expansions, contractions, churn, and recovered revenue, broken out by source. Failed payments are detected within hours and trigger personalized dunning sequences: a friendly "update your card" email, then a Slack nudge to the founder for accounts above $500/month. Stripe and QuickBooks are reconciled daily. On Fridays, you get a cash flow forecast with 90-day runway projection.
That is why you need Mira.
Each step is automated. Mira only escalates when human judgment is required.
Mira calculates yesterday’s MRR changes: new subscriptions (count + ARR), expansions (upgrades, seat additions), contractions (downgrades), churn (cancellations), and recovered revenue (dunning wins). Sends a Slack summary with net MRR movement and month-to-date trend.
Mira triggers a dunning sequence: immediate friendly email to the customer with a one-click card update link, followed by a reminder at 3 days and 7 days. For accounts above $500/month ARR, Mira also sends a Slack alert to the founder with the account value and recommended personal outreach.
Mira reconciles yesterday’s Stripe payouts, fees, refunds, and disputes against QuickBooks entries. Matched items are auto-confirmed. Unmatched items are flagged in Slack with one-tap categorization options: [Categorize] [Investigate] [Ignore].
Mira sends an immediate Slack alert with full details: the transaction, expected vs. actual amount, affected account, and recommended action. For duplicate charges, she drafts the correction in QuickBooks and presents [Approve Correction] [Investigate].
Mira compiles a cash flow forecast: current cash balance, projected revenue for the next 90 days (based on active subscriptions, trial conversion rates, and churn trends), projected expenses (payroll, infrastructure, vendor contracts), and runway calculation. Flags any month where projected outflows exceed inflows.
Mira generates a comprehensive monthly report: MRR/ARR with movement breakdown, net revenue retention rate, gross margin, dunning recovery stats, and QuickBooks reconciliation status. Ready for board decks and investor updates.
Clear boundaries. Mira works autonomously within defined limits and escalates everything else.
Mira connects to the platforms you already use. No new software to learn.
Mira is deployed gradually with measurable checkpoints at every stage.
Monitoring mode first, then gradual rollout.
Pilot starts with daily MRR reporting only, the simplest, lowest-risk output. Weeks 1-2 Mira calculates MRR movement and the founder validates against their own Stripe dashboard.
Full validation before production deployment.
These AI employees share data and coordinate with Mira to cover your full operation.