How do I Connect ServiceNow to a Chatbot?

You can connect ServiceNow to a chatbot using Virtual Agent, REST APIs, or no-code workflow tools. With CustomGPT.ai, you connect ServiceNow via Zapier, APIs, or Custom Actions so your bot can create and update tickets automatically.

Scope:
Last updated: December 2025. Applies globally; confirm your ServiceNow and chatbot integrations align with local privacy laws and data-transfer rules such as GDPR and CCPA/CPRA.

Use ServiceNow Virtual Agent as your chatbot

ServiceNow Virtual Agent is the built-in chatbot that already understands ServiceNow data and processes. It’s often the simplest option if your main goal is ticket deflection and IT/HR support inside ServiceNow.

Steps

1. Check licensing and enable Virtual Agent
   In your ServiceNow instance, make sure you’re licensed for Virtual Agent, then enable it from the Virtual Agent configuration area in the platform.
2. Open Virtual Agent Designer
   Use Virtual Agent Designer to create and manage topics. Topics are the conversation blueprints that guide users through tasks like password reset or “create an incident.”
3. Create or modify topics for your use cases
   Build topics that capture the information you need for incidents, service requests, or HR cases. Add prompts for short description, impact, urgency, and any custom fields you care about.
4. Connect Virtual Agent to channels
   Configure the channels where users will chat with the bot, such as the Service Portal, Now Mobile app, or Microsoft Teams using the Now Virtual Agent app.
5. Test and iterate
   Run test conversations, check that incidents and requests are created correctly, and refine prompts or flows based on common failure points.

Connect a third-party chatbot to ServiceNow via REST APIs

If you already have a chatbot (e.g., Teams bot, web widget, Slack bot, or another AI assistant), you can call ServiceNow’s REST APIs directly whenever the bot detects an intent like “create ticket” or “check status.”

Steps

1. Create an integration user and assign roles
   In ServiceNow, create a dedicated user for the chatbot and assign roles so it can read/write to tables like incident and sc_request. Keep permissions as minimal as possible.
2. Decide on Table API vs Scripted REST APIs
   Use the Table API if simple CRUD operations on standard tables are enough. Use Scripted REST APIs when you need custom logic (validation, routing, or extra security checks).
3. Test incident creation in REST API Explorer
   In ServiceNow, open REST API Explorer, choose the Table API, select incident, and test a POST request to /api/now/v1/table/incident with a sample payload. Confirm the record is created.
4. Add HTTP calls to your chatbot platform
   In your bot’s configuration, add an HTTP action or webhook step that calls the ServiceNow endpoint using the integration user’s credentials (basic auth, OAuth, or token-based).
5. Map conversation fields to ServiceNow fields
   Map data from your conversation (issue summary, description, caller, impact, urgency) to ServiceNow fields in the JSON body. Handle both incident and request tables if needed.
6. Handle responses and errors
   Parse the JSON response from ServiceNow to grab the incident or request number and send it back to the user. Add logging and retries for error codes or timeouts.
7. Secure and monitor the integration
   Store credentials securely, consider IP allowlists, and monitor API activity to detect anomalies or failures.

Connect ServiceNow and a chatbot through a no-code integration platform

You don’t always need to write code. You can connect your chatbot and ServiceNow using no-code or low-code workflow tools such as ServiceNow Flow Designer/IntegrationHub or external iPaaS tools like Zapier, Make, or n8n.

Steps

1. Choose your workflow tool
   Use Flow Designer/IntegrationHub if you want everything inside ServiceNow. Use external tools (Zapier/Make/n8n) if your chatbot lives outside ServiceNow and already has connectors there.
2. Define the chatbot trigger
   In the chatbot platform, emit a webhook or custom event when a user intent like “create ticket” or “update ticket” is detected.
3. Add a ServiceNow action or HTTP step
   In the workflow tool, add either a ServiceNow connector step (if available) or a generic HTTP call to ServiceNow’s REST API to create or update a record.
4. Map fields between chatbot and ServiceNow
   Map conversation variables (name, email, problem summary, category) to ServiceNow fields. Ensure mandatory fields like short_description are always populated.
5. Send the result back to the chatbot
   Use the workflow to pass the incident number and key status fields back to the chatbot so it can respond with confirmation and next steps.
6. Monitor and tune the workflow
   Set up error alerts, check run histories, and optimize conditions and mappings as you see real traffic.

How to do it with CustomGPT.ai

CustomGPT.ai can act as your chatbot “brain,” while ServiceNow remains your system of record for tickets and requests. You connect them by letting CustomGPT.ai detect the user’s intent and details, then trigger ServiceNow actions via Zapier or via your own backend using the CustomGPT API or Custom Actions.

Overview of the CustomGPT.ai + ServiceNow pattern

A typical flow looks like this:

1. The user chats with a CustomGPT.ai agent trained on your ServiceNow knowledge and help content.
2. The agent identifies an intent such as “create IT ticket” and collects structured fields.
3. A workflow tool or backend service receives this data and calls ServiceNow’s REST API.
4. ServiceNow creates or updates a record and returns the ID.
5. The agent replies with the ticket number and next steps.

Option 1 — Use CustomGPT.ai with Zapier

Zapier lets you create no-code workflows connecting CustomGPT.ai to many apps.

1. Create and configure a CustomGPT.ai agent
   Set up an agent in CustomGPT.ai and load it with your IT/ServiceNow documentation and procedures so it can answer questions and collect ticket details.
2. Connect CustomGPT.ai to Zapier
   In Zapier, add the CustomGPT.ai app and connect it using your API key or credentials as described in the “Connect to Zapier” guide.
3. Choose a CustomGPT.ai trigger or action
   Use events such as “New Lead” or “Send Message” to capture structured output from conversations. This event then triggers the Zap to run.
4. Add a ServiceNow step in Zapier or via webhook
   If a native ServiceNow app is available in Zapier, use it to create a record. Otherwise, configure a webhook step that calls ServiceNow’s REST API endpoint (for example, POST to /api/now/table/incident).
5. Map fields and test end-to-end
   Map conversation outputs (issue summary, description, contact) to ServiceNow fields, run test conversations, and confirm that tickets are created correctly.

Option 2 — Use the CustomGPT.ai API or Custom Actions

If you already have an integration layer or want tighter control, use the CustomGPT.ai API and Custom Actions (MCP).

1. Set up API access
   Follow the API quickstart guide to obtain credentials and learn how to send messages to your CustomGPT.ai agent programmatically.
2. Call CustomGPT.ai from your backend or ServiceNow integration app
   When a user talks to your front-end chatbot (web, Teams, or portal), send the conversation text to the CustomGPT API to interpret the request and return structured data.
3. Call ServiceNow from your backend
   From the same backend, call ServiceNow’s REST API (Table API or Scripted REST endpoint) to create or update incidents or requests using the structured data from CustomGPT.ai.
4. Use Custom Actions for direct task execution
   Define Custom Actions that call a backend endpoint which wraps ServiceNow operations, then enable them on the agent. During a conversation, the agent can invoke these actions to create a ticket or check its status.
5. Return results to the user
   Parse ServiceNow’s response, extract the incident number or status, and send it back through the chatbot UI as a friendly confirmation.

Example — Chatbot that creates a ServiceNow incident

Here’s a simple, vendor-agnostic example of the full flow:

1. User asks for help: The user types: “My laptop won’t turn on and I can’t work.”
2. Chatbot gathers details: The bot asks for device type, impact, urgency, and contact info, then structures those answers (for example, JSON fields for category, impact, urgency).
3. Integration creates the incident: A backend or workflow calls POST /api/now/v1/table/incident on ServiceNow with those fields in the request body and the integration user’s credentials.
4. ServiceNow returns the incident number: ServiceNow responds with a 201 Created status, including the new incident record and its number field (for example, INC0012345).
5. Chatbot confirms back to the user: The integration parses the response and the chatbot replies: “I’ve created incident INC0012345. You’ll get updates by email, or you can ask me for the current status any time.”

Conclusion

Connecting ServiceNow to a chatbot shouldn’t force you to choose between powerful automation and painful custom integration work. customgpt.ai removes that friction with agents that plug into your workflows via Zapier, APIs, and Custom Actions, while leaving ServiceNow as your single source of truth. If you’re ready to turn conversations into live ServiceNow tickets without rebuilding your stack, connect ServiceNow to a chatbot with customgpt.ai. Sign up today to configure your first production-ready ServiceNow assistant in minutes.

FAQ’s

How do I connect ServiceNow to a chatbot using REST APIs?

You connect ServiceNow to a chatbot using REST APIs by creating an integration user, enabling the Table or Scripted REST API, and calling endpoints such as POST /api/now/v1/table/incident from your bot. The chatbot sends structured ticket data, and ServiceNow returns an incident or request number that you surface back to the user. This pattern lets any modern chatbot create and update ServiceNow records securely without rebuilding your ServiceNow setup.

How do I connect ServiceNow to a CustomGPT.ai chatbot?

To connect ServiceNow to a CustomGPT.ai chatbot, you let a CustomGPT.ai agent collect intent and ticket details, then trigger ServiceNow via Zapier, webhooks, or a backend calling the ServiceNow REST API. You can also use the CustomGPT.ai API and Custom Actions so the agent directly invokes backend endpoints that create or update ServiceNow incidents. This keeps ServiceNow as the system of record while CustomGPT.ai handles the conversational logic.