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Monthly Reports

The standing executive report should fit on one page and answer four questions:

  1. Total spend (token costs, platform fees, infrastructure, fine-tuning, egress, professional services).
  2. Breakdown by team, business unit, and feature.
  3. Trend versus prior 3, 6, 12 months.
  4. Variance from budget at the agent and aggregate level.

Plus unit economics: cost per conversation, cost per resolved case, cost per qualified lead, cost per generated draft. Unit economics are the only numbers that survive when the volume changes.

Sample structure:

April 2026 AI Spend
────────────────────────────────
Total                $487,400  (+8.2% MoM, +14.1% vs budget)
By function:
  CX (Customer Agent)  $214,000  $0.42/resolved (target $0.50)
  Sales (Prospecting)  $98,200   $1.18/qualified (target $1.00)
  Marketing (Content)  $67,500   $4.10/draft
  Internal (Copilot)   $107,700  $89/seat/mo
Top 3 cost movers vs March:
  GPT-5 model upgrade  +$42K
  Holiday campaign     +$18K
  Knowledge refresh    +$11K

Quarterly Deep Dives

Quarterly cadence supports investment decisions. ROI analysis per AI line item: revenue lifted, cost avoided, productivity recaptured. Attribution methodology stated explicitly so the next quarter compares like-for-like. Kill list: features whose unit economics or business outcomes underperform after a fair pilot window. Reinvestment plan: where the saved budget goes.

The FinOps Foundation’s AI cost framework (released October 2025) gives a reference taxonomy — use it to keep terminology stable across quarters.

Executive-Level Framing

Same underlying data, three audience-appropriate cuts:

  • CFO: unit economics, total spend trajectory, multi-year forecast, vendor concentration risk, contractual exposure.
  • COO: operational impact, throughput per agent, escalation rates, SLA performance, capacity planning.
  • CMO: marketing ROI, content velocity, campaign attribution, audience-level performance.
  • CIO: vendor stack, technical debt, build-vs-buy, security posture, AI Act conformity status.

Don’t hand a raw data dump to any of them. Distill to decision-ready summaries: three numbers, three findings, three recommendations.

Decisions the Reports Should Drive

A budget report that doesn’t change a decision is theater. Each cycle should produce concrete actions:

  • Which AI features to scale (positive unit economics, capacity headroom).
  • Which to cut (negative unit economics after a fair window, no path to improvement).
  • Where to invest more (high ROI, capacity-constrained).
  • Which vendors to consolidate (overlap, pricing arbitrage opportunity).
  • What contract clauses to renegotiate (volume tier breakpoints crossed, model upgrades requiring new pricing).

Track decisions in the next report so the loop closes — “in March we decided X; here is the result in April.”

Common Failure Modes

  • Reporting only token cost, missing platform fees and labor that dominate total cost.
  • No unit economics; bills look big but no one knows whether they’re efficient.
  • Reports go to executives who don’t have decision rights over AI spend.
  • Cadence too slow (quarterly only) — costs move monthly and surprise quarterly.

What to Do This Week

Build the one-page monthly template. Review it with your CFO before next month-end. The first iteration is wrong; the third is useful.

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