AI
OpenAI integration
AI research and deployment platform.
How we integrate OpenAI
The integration shape.
OpenAI's API is the most-deployed AI integration surface in commerce today. Models for generation, embeddings, function calling and structured output sit behind a single API, with the cost model and the latency budget being the operational constraints most projects underestimate.
Patchworks integrates OpenAI as part of agentic workflows, retrieval pipelines and operational automations. Model calls, embeddings, tool definitions and event triggers all flow through the same pipes as the rest of the integration estate. Cost controls, retry semantics, audit logging and the safety boundary deserve as much design attention as any classic integration concern.
This is the heart of our AI enablement practice: production AI integrations, not pilots.
Questions
Common questions.
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01 How does Patchworks integrate OpenAI?
Patchworks integrates OpenAI as part of agentic workflows, retrieval pipelines and operational automations. Model calls, embeddings, tool definitions and event triggers all flow through the same pipes as the rest of the integration estate. Cost controls, retry semantics, audit logging and the safety boundary deserve as much design attention as any classic integration concern. -
02 What's a typical OpenAI integration timeline?
Three to six weeks for a OpenAI integration carrying inference, retrieval or function-call traffic against your operational data. Evaluation harness and PII-handling steps are scoped in. -
03 Do you support OpenAI integrations after they launch?
Yes. OpenAI integrations stay under retainer with model-call monitoring, latency alerting, evaluation-harness regression runs against model upgrades, and the on-call cover that production AI workloads need. Tiered SLAs from £750 per month. -
04 Can you build a custom OpenAI connector or flow?
Yes. Custom OpenAI work covers retrieval design over real operational data, function-calling tool definitions against your APIs, evaluation-harness construction, PII redaction at the boundary and per-turn model selection against cost and latency budgets.
Get in touch
Tell us what you’re trying to connect.
And what’s in the way. We will tell you whether we are the right people to do it. Drop us a line below, or open the chat in the corner of the screen.
Direct: contact@ecirql.com
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