- Why would I want to switch between models mid-thread?
- Different models excel at different sub-tasks: Claude is strong at compliance reasoning and long-document synthesis, GPT-4o is fastest for tool calling, Gemini wins on multi-modal and long context, Mistral keeps EU-only data flow. With ChatGPT Enterprise you commit to one provider per session; with AgentWorks you switch per turn so each step uses the right model.
- Is ChatGPT Enterprise EU AI Act compliant?
- OpenAI publishes GPAI provider documentation and offers EU data residency, but ChatGPT Enterprise does not ship EU AI Act tooling for deployers (per-agent risk classification, Article 12 audit logs, Article 14 oversight workflows). Deployers have to build those layers themselves.
- How does pricing compare in practice?
- ChatGPT Enterprise is per-seat USD, negotiated minimum seats, opaque per-message cost. AgentWorks is per-token € on the same live wallet across models; a team running 10K tasks/month typically pays 30-60% less and gets per-task cost attribution.
- Can ChatGPT Enterprise Custom GPTs replace AgentWorks agents?
- Custom GPTs are single-agent personal automations with no multi-agent orchestration, no per-agent EU AI Act classification, and no governance review workflow. They work well as user-facing helpers; AgentWorks targets governed, audited, multi-step team workflows.
- Does AgentWorks use OpenAI models?
- Yes — GPT-4o and GPT-4o-mini are first-class options alongside Anthropic, Google, and Mistral. The difference is you pick the model per agent and per turn, with PII redaction at the gateway, so OpenAI receives only the redacted payload.
- When will AgentWorks have SOC 2 / ISO 27001?
- Both are on the 2026 roadmap. During private testing we run on EU infrastructure with documented controls; the certifications close the procurement-checklist gap that some enterprise buyers still flag.