Seats price the person. Credits price the agent.
Across 30+ AI companies — the labs, the copilots, the sales-led platforms, the agent-native startups — pricing has converged on one structure: a per-seat base for access and governance, a metered credit pool for agent work. This page holds the research, the candidate models for ai·com, a live economics simulator, and one recommendation.
Four shifts that settle the argument
The AI add-on died
Google, Slack and Notion all killed their $8–30 add-ons within 18 months and folded AI into base tiers, raising base prices 15–25%. AI in the seat is now table stakes.
Seats split from credits
OpenAI, Microsoft, GitHub and Notion all shipped the same split in 2025–26: the seat covers the person, a metered credit pool covers agent runs — because agent cost varies ~5× per run.
Multipliers beat features
The $20 → $100 (5×) → $200 (20×) ladder is now category convention at all three labs. Buyers upgrade for more of the same — easier to sell, easier to meter than feature gates.
Seat prices compressed
OpenAI cut ChatGPT Business 20% to $20. Notion Business with full AI sits at $20. The seat is commoditizing toward $20; durable margin lives in the usage layer.
Eight ways the market charges
Every pricing model observed, with its exemplars and its verdict for a self-serve agentic platform.
Per-seat, flat
Predictable and procurement-friendly — and it undercharges agents. Seat-only AI vendors run ~40% below hybrid peers on gross margin.
Seat ladder (multipliers)
Same product, more usage. Vendors stopped publishing absolute limits to keep repricing freedom.
Seat + credit hybrid
The converged default: 41% of vendors, the highest blended margins. Pooled org credits beat per-seat allowances.
Pure consumption
Scales with work done — and is CFO-hostile. Price discovered after the run caused every 2025 backlash.
Outcome-based
Works only where the outcome is discrete, machine-verifiable, and priced against labor. 11x priced outcomes, delivered activity — 70–90% churn.
Flat per-org
Whole-company platform fee. Removes adoption risk, forces CIO-level sales — and heavy users become the least profitable customers.
Sales-led, opaque
Maximum price discrimination, minimum velocity: 3–6 month cycles, 15–40% negotiated off list. Only pays above ~$50–60K ACV.
Bundled into base
The incumbent's defensive move — collapse the price umbrella so startups can't sell AI as a line item. Compresses everyone's seat price.
Where everyone stands — and where ai·com lands
Effective price per person per month (log scale) against how revenue is metered. The shaded band is what a 2–50 team pays today for the stack ai·com replaces. Hover any dot.
The market, one table
| Company | Model | Price | Signal |
|---|
Five ways ai·com could charge.
Scored, not guessed.
Every viable permutation of the market's eight models, applied to our shape: workspaces of 2–50, an agent for every person, connectors driving ambient compute. Scored against the five things the pricing must do at once.
Architectures A–E
Permutations we examined and killed
Feel each model break or hold.
One revenue-and-margin engine, five architectures. Move the sliders; watch where the margin goes as agent usage grows. The red line to respect: when model COGS crosses 40% of revenue, the pricing model is broken.
Architecture
Architecture B. Three tiers, one meter.
A seat for every person and their agent. A pooled credit allowance for agent work, with published top-up rates and hard spend controls. Self-serve end to end — including enterprise controls. No sales call anywhere.
The card we should ship
Free
- Your agent on every surface, daily brief
- 3 Connectors · 3 Routines
- Metered daily agent allowance
- Checkpoint on everything external
Team
- An agent for every person — one each
- All Connectors · unlimited Routines · Rooms, Calls, Vault
- Pooled workspace credits (≈$8/seat of agent runs included)
- Top-ups at published rates · admin spend caps · estimates before runs
- Fair billing — idle seats credit back
Command
- 5× pooled credits · priority routing, 20+ model providers
- Goals with bigger run budgets
- API endpoints · plugin SDK · MCP
- SSO · SCIM · audit log — enterprise controls, self-serve
What changes on the landing page
The current card is flagged CONFIRM in the code. Three changes resolve it.
The market compressed to $20 while the draft sat at $29. $25 undercuts the replaced stack decisively; the credit pool recovers the difference from teams that use agents hard.
Flat pricing is adverse-selection bait: the heaviest agent teams become the least profitable customers. Per-seat with a 5× pool keeps the simplicity and fixes the economics.
Every vendor that retrofitted a meter onto "unlimited" — Cursor, Replit — paid for it in refunds and trust. The meter ships with the card, with estimates before runs and caps.
Enterprise: self-serve controls now, a sales lane only when pulled
RecommendedSelf-serve enterprise
Anthropic proved the pattern in 2026: SSO, SCIM, audit and spend controls activated self-serve, usage metered on top of the seat. It keeps the strategy deck's promise — no pilots, no procurement, no seat minimums — and it is how the multitenant platform sells itself.
- Enterprise controls live in Command, not behind a quote
- Published rate card — opacity is a margin strategy we don't need yet
- Workspace, seats and billing already gate on T2 — same machinery
Later, if pulledSales-assisted lane
Contact-sales only pays above a ~$50–60K annual contract — Glean's median is $99K with 100-seat floors and 3–6 month cycles. That machine is premature for teams of 2–50.
- Trigger: repeated 150+ seat workspaces, or people-layer buyers needing DPAs, residency, custom terms
- Shape when it comes: platform fee + seats + the same credit meter — never a different product
- Until then: the biggest workspace self-serves like the smallest