The AI Margin Dashboard: What to Watch Daily, Weekly, Monthly

TL;DR: If you only track MRR, you'll miss the cliff. Here's the margin scorecard operators actually use.

Daily (stand-up dashboard)

• MTD Revenue / Costs / Gross Margin %
• Top 5 cost spikes by workflow
• Low-margin customers (<40%)
• Dunning + unpaid invoices
• Alerts: RAG cost surge, TTS anomaly, retry storms

Weekly (ops review)

• Margin by customer segment (SMB, mid-market, enterprise)
• Margin by agent/feature (chat, RAG, outbound, voice)
• Price realization (what % of metered usage got billed)
• Unit economics (cost per email, per doc, per call, per outcome)
• Experiment reads (did last week's prompt or model switch help?)

Monthly (board pack)

• Cohort margin trends (new vs existing)
• Top loss-makers + action plan (re-price, cap, or cut)
• Pricing experiments (baseline vs new version)
• Vendor mix + savings (model swaps, cache hit-rate)
• Forecast (next 2 quarters with sensitivity)

Operating rules of thumb

• A few customers will eat your GPU. Cap and call.
• If a feature is below 30% gross margin for 2 weeks, fix pricing or kill it.
• Always ship price changes behind a version with clean roll-forward rules.

How UnitPay helps

• One place to see revenue, costs, and margins by agent and customer.
• Anomaly detection on noisy AI workloads.
• Pricing simulation so you change with confidence.

Want our margin pack template (Notion + CSV)? Ping us—free for founders.