OpenAI & ChatGPT Integration

Connect OpenAI to your systems

OpenAI integration services and ChatGPT integration services — ChatGPT API integration into Salesforce, ServiceNow, Microsoft 365, data warehouses and internal apps, with security, function calling and observability.

Talk to an OpenAI integration engineer What we connect

No training

On your data (enterprise terms)

Azure OpenAI

Supported for tenancy needs

Audited

Every request and response

Quick answerOpenAI integration services connect OpenAI’s models and APIs — or an existing ChatGPT-based application — into your enterprise systems: ChatGPT API integration into CRM, ITSM and productivity tools, function calling to trigger actions, retrieval over your systems of record, and the identity, guardrails and monitoring around it. This page owns the connect intent; the build intent is ChatGPT & OpenAI Development.

Scope of work

What an OpenAI integration covers

Platform integrations

ChatGPT-powered assistance, summarisation, drafting and classification inside Salesforce, ServiceNow and Microsoft 365.

Function & tool calling

Typed actions into your systems, with schema validation and approvals for high-impact steps.

Retrieval to systems of record

Grounding answers in live CRM, ticketing and warehouse data, with citations.

Data protection

Scope filtering to the user's entitlements, PII redaction, enterprise API terms with no training on your data.

Azure OpenAI Service

Where compliance or procurement requires OpenAI models inside an Azure tenancy — portable back to the OpenAI API.

Observability

Full request/response audit logging, plus cost-per-request and cost-per-user tracking.

Connect vs build

Integration or development?

OpenAI integration compared with ChatGPT & OpenAI development
You want to…	OpenAI Integration (this page)	ChatGPT & OpenAI Development
Connect OpenAI into Salesforce / ServiceNow / M365	Yes	—
Push AI output back into systems of record	Yes	—
Create a new assistant or custom GPT	—	Yes
Design the RAG, tools and evaluation	—	Yes
Both, on one engagement	Common — we do them together	Common

How we deliver

A secure path to a live integration

Design

The surface, the actions, the data scope and the guardrails.

Connect

Platform extensions and typed tools through your gateway and IdP.

Secure

Scope filtering, redaction, enterprise terms and audit logging.

Validate

Failure-mode, security and evaluation testing before launch.

Operate

Monitor quality, latency and cost; iterate on real usage.

Why Relevance Lab

OpenAI integration, delivered for the enterprise

Enterprise data terms

Enterprise API terms with no training on your data; Azure OpenAI where tenancy is required.

Same team, build too

The engineers who connect OpenAI can also build the assistant.

Grounded, not guessing

Retrieval to systems of record so answers cite live data.

Audit-ready

Every request and response logged; guardrails as standard.

Platforms behind the team

RLCatalyst and Spectra accelerate build and run.

You own it

Your configuration, in your environment.

350+

Data & AI specialists

150+

Data & AI projects delivered

170+

Certified engineers

30‑60‑90

Day roadmap to your first AI use case

Alliances & partners

AWS
DataStax
Salesforce
Snowflake

Related services

Also available for OpenAI

Build the assistant with ChatGPT & OpenAI Development Services, or add dedicated OpenAI engineers with Hire ChatGPT & OpenAI Developers.

ChatGPT & OpenAI Development Services

Resources

Integrating foundation models

Case study

Governed AI coding assistants with Research Gateway & Amazon Bedrock

Secure, self-service access to AI coding assistants with institutional control over data and usage cost.

From reactive to autonomous: GenAI's role in AIOps & SRE

Moving operations from rule-based and reactive to predictive, conversational and intent-driven with GenAI.

Agentic AI vs Generative AI: key differences and enterprise use cases

Where generative AI ends and agentic AI begins — and which enterprise problems each is built for.

FAQ

OpenAI & ChatGPT Integration Services: frequently asked questions

OpenAI integration services connect OpenAI's models and APIs — or an existing ChatGPT-based application — into your enterprise systems: ChatGPT API integration into CRM, ITSM and productivity tools, function calling to trigger actions, retrieval over your systems of record, and the identity, guardrails and monitoring around it.

Development builds the assistant or application on OpenAI models. Integration connects OpenAI (or that app) into your existing stack and workflows. This page owns the connect/integrate intent; the development page owns the build intent. They are frequently delivered together.

Yes — we build ChatGPT-powered assistance, summarisation, drafting and classification inside Salesforce, ServiceNow, Microsoft 365 and similar platforms, using their extension models and your governance controls.

Data-scope filtering so the model only receives what the user is entitled to, PII redaction where required, enterprise API terms with no training on your data, private networking where available, and full request/response audit logging.

Yes — where you need OpenAI models within an Azure tenancy for compliance or procurement reasons, we integrate via Azure OpenAI Service and keep the application layer portable to the OpenAI API.

Content last reviewed: September 2026

Cross-cutting practice

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Tell us where you are on your AI journey — a use case, a proof of concept, or a platform decision — and an AI consultant will come back with next steps and a rough shape for the engagement.