OpenAI vs Claude for Business Workflows

OpenAI and Claude both work for business workflows. The better choice depends on task shape, tool calling, and how you evaluate quality. ## Practical differences buyers feel - **Structured extraction / tool calling:** both are strong; test on your schema, not a generic demo - **Long policy / document reasoning:** Claude often feels careful; verify with your docs - **Ecosystem and hosting options:** OpenAI tooling is everywhere; Claude is widely available via API too - **Cost:** measure cost per successful workflow run, not cost per 1K tokens in isolation ## How we choose on projects 1. Define the job (classify, extract, draft, decide) 2. Build a 20-50 example evaluation set 3. Run both models through the same prompts and tools 4. Score accuracy, refusal quality, latency, and cost 5. Lock the winner for that workflow (you can still mix models by task) ## Governance Whichever model you pick, production needs logging, PII handling rules, and human approval for irreversible actions. ## Next step If you are stuck in a model debate, bring two real examples of the work. We will run a short bakeoff inside the actual workflow design.