Connecting ChatGPT to Your CRM, Email, and Slack Data with Nex
You can give ChatGPT (via the OpenAI API) access to your organization's live customer data — CRM records, email threads, Slack conversations, and more — by querying Nex before each API call. Nex returns structured, permissioned context that you inject into the system prompt, grounding ChatGPT's responses in your actual business data.
Prerequisites
A Nex account at app.nex.ai. Nex API key from Settings then API Keys. OpenAI API key from platform.openai.com. Python 3.8+ or Node.js 18+.
How It Works
Receive a user request about a customer. Query Nex /v1/context/ask with a relevant question. Nex returns structured context from your connected data sources. Include context in the ChatGPT system prompt. ChatGPT responds with accurate, grounded information.
Implement Context-Enriched ChatGPT Calls
Query the Nex /v1/context/ask endpoint with a natural language question. Include the returned context in your OpenAI system message. Use the OpenAI Python SDK or REST API. For more advanced usage, define Nex as a function calling tool so ChatGPT decides when to query organizational context automatically.
Common Use Cases
CRM-aware sales assistant
Give sales reps an AI assistant that knows deal stage, recent emails, key stakeholders, upcoming renewals, and competitor mentions from your actual CRM and email data.
Customer support enrichment
When a support ticket arrives, automatically populate ChatGPT with the customer's full history before generating a response — past tickets, product usage, account health.
Slack message context enrichment
When someone mentions a customer in Slack, provide instant context — deal stage, recent communications, and any open issues.
Account health monitoring
Generate AI-powered account health summaries using real-time signals: recent email sentiment, open support tickets, deal stage changes, and risk signals from the past 30 days.
FAQ
Does this work with the OpenAI Assistants API as well?
Yes. Include the Nex context in the thread's initial message or use function calling with a Nex tool. The pattern is the same; the API calls differ.
How do I handle large amounts of context that exceed the token limit?
Use Nex's limit parameter in search queries to control records returned, and ask for summaries rather than full details. For very large accounts, query specific aspects rather than full history.
Can I use ChatGPT-4o mini to reduce costs?
Yes. For many context-enriched queries, gpt-4o-mini provides good results at lower cost. Use gpt-4o for complex reasoning and gpt-4o-mini for simpler lookups and summaries.
How does Nex handle data from multiple CRM systems?
If you connect both Salesforce and HubSpot, Nex deduplicates and merges records based on email address and company name. You receive unified data regardless of source.
Is there a rate limit on Nex API calls?
Yes, based on your plan. For high-volume production deployments, consider caching context for customers where data is unlikely to have changed rather than querying fresh context on every message.