OpenAI
Custom
OpenAI
OpenAI provides APIs for GPT models used in assistants, classification, extraction, and content workflows. The product is not a business system by itself—value comes from embedding models into your CRM, support, or internal tools with guardrails. PMD typically wraps OpenAI in Make, n8n, or custom Node/Python services.
Best for: Teams ready to add AI into existing workflows with clear use cases and human review where needed.
Pros
- Strong general-purpose language models
- Flexible API for many use cases
- Fast prototyping of assistants
- Tool/function calling for agents
- Broad ecosystem and examples
Cons
- Needs product design and evaluation
- Usage costs can surprise without caps
- Not a turnkey business app
Pricing
Starting at: Usage-based API billing
Note: Token usage, fine-tuning, and tool calls add up—set budgets and caching early.
Technical Details
Learning Curve
Moderate–Advanced
Setup Time
Days to weeks
Integration Difficulty
Moderate–Advanced
Used via API from Make, n8n, Zapier, Node.js, and Python; commonly wired to HubSpot, Slack, Intercom, and internal databases.
PMD Expert Assessment
We treat OpenAI as a capability inside a workflow—not a magic department. Typical wins: summarize tickets, draft CRM notes, classify leads, extract fields from documents. We add logging, prompts-as-config, and human approval loops so quality stays controllable.
How PMD Can Help
- Use-case discovery and evaluation design
- API integration via Make/n8n/Node
- Prompt and guardrail engineering
- Cost controls and monitoring