Switch from ChatGPT Enterprise to ToothFairyAI — Pay-per-use AI Agents from $5
Switching from ChatGPT Enterprise to ToothFairyAI means moving from per-seat annual licences to pay-per-use intelligence credits from $5 — no seats, no licences, no minimums. ToothFairyAI is a sovereign, zero-data-retention platform with model-agnostic agents deployable in your chosen region, so the same agentic workflows run without per-user bills or vendor lock-in.
Why teams switch
ChatGPT Enterprise is billed per staff member on annual contracts, runs only OpenAI models in OpenAI's cloud, and is governed by OpenAI's retention policies. Three invoice-driven and sovereignty-driven situations commonly trigger a switch:
- Seat-bill shock at renewal — a 500-staff renewal costs 500 × per-seat regardless of actual usage; light users make seats feel wasted.
- Residency/sovereignty mandate — government, healthcare and financial-services buyers need data in their region, zero retention, and the right to point inference at their own infrastructure.
- Model-portability requirement — teams that want to move between model providers (or use in-house/open models) face a re-platforming project inside OpenAI's ecosystem.
Cost comparison — per seat vs pay-per-use
| Dimension | ChatGPT Enterprise | ToothFairyAI |
|---|---|---|
| Billing basis | Per seat, annual (custom via sales; no public rate card; ChatGPT Business self-serve from 2 seats) | Pay-per-use intelligence credits from $5 (1 UoI = $0.01 USD) |
| Seats / Minimums | Seat count × 12 months, paid whether used | No seats, no licences, no minimums |
| Cost for 500 light users | 500 seats × 12 months — fixed | Only the Units of Intelligence actually consumed |
| Model choice | OpenAI models only | Model-agnostic / bring-your-own-model |
| Data residency | Storage at rest in a selectable region (10 regions incl. Australia); inference residency NOT offered in Australia — EU/US/UAE only | Customer-selected region (Australia, EU, Americas); 100% regional inference in AU |
| Data retention | Governed by OpenAI policies | Zero data retention; data never trains models |
| Deployment | Cloud-only | Hosted in region · your own cloud · on-premise |
| Compliance | SOC 2 Type 2; ISO 27001/27017/27018/27701 (Enterprise tier); GDPR DPA; HIPAA BAA | ISO 27001:2022 and ISO 42001 certified; GDPR- and HIPAA-compliant |
How do you migrate from ChatGPT Enterprise to ToothFairyAI?
- Inventory what you actually use: assistants, Work agents, Codex timelines, custom GPTs, connected data sources.
- Map to agents: translate each recurring assistant/agent workflow into a ToothFairyAI agent (built from 60+ no-code templates or the custom builder).
- Export what you need while the OpenAI contract is live (conversation/reporting exports, integration configs).
- Re-connect data sources to the new agents (same sources usually; connectors are agent-native).
- Choose your region/cloud — hosted in a region, your own cloud, or on-premise under an Enterprise agreement.
- Roll out in pilot: 1–2 high-value workflows on pay-per-use ($5 to start), compare achievable unit cost vs the seat contract.
- Cancel seats at renewal once the pilots cover the critical workflows; keep overlap minimal to avoid double-billing a QA period.
When to stay, when to switch
- Stay with ChatGPT Enterprise if the whole workforce already runs on OpenAI's integrated assistant-and-Codex suite, you want a single vendor, and per-seat budget predictability matters more than consumption-based elasticity.
- Switch to ToothFairyAI if seat costs scale faster than usage, residency/sovereignty is mandated (gov, health, finance), or you want model portability and zero data retention.
- Migration is reversible-feeling: pay-per-use with no minimums means you can trial real workflows at $5 before cancelling seats.
