RingCentral connector
Automate Business Communications with RingCentral Integrations
Connect RingCentral to your CRM, helpdesk, and business tools to keep calls, SMS, and team messaging workflows moving.
What can you do with the RingCentral connector?
RingCentral is a cloud communications platform handling voice, SMS, fax, and team messaging for businesses of all sizes. When it's siloed from your other tools, someone has to manually log every call, chase down voicemails, and remember to notify the right people after customer interactions. With tray.ai, you can build communication workflows that tie RingCentral into your CRM, helpdesk, data warehouse, and collaboration tools — no custom API code required.
Automate & integrate RingCentral
Automating RingCentral business process or integrating RingCentral data is made easy with tray.ai
Use case
Automatic Call Logging to CRM
Every inbound and outbound call in RingCentral can be automatically logged as an activity in your CRM, capturing caller ID, call duration, recording links, and disposition codes. Sales and support reps stop burning time on manual note-taking, and your CRM data stays accurate. Teams get a full communication timeline on every contact record without lifting a finger.
Use case
SMS-Triggered Lead Nurturing
When a prospect texts a RingCentral number, tray.ai can instantly create or update a lead in your CRM, enroll them in a marketing sequence, and alert the assigned sales rep in Slack. No inbound text goes untracked — especially useful when you're running high-volume lead gen campaigns. You can also trigger automated SMS replies from RingCentral based on form submissions or CRM stage changes.
Use case
Support Ticket Creation from Missed Calls
Missed calls and voicemails in RingCentral can automatically create support tickets in Zendesk, Freshdesk, or ServiceNow, complete with the caller's number, voicemail transcript, and queue information. Customers don't fall through the cracks during busy periods or after hours. Support teams work from a single ticket queue instead of checking separate voicemail boxes.
Use case
Post-Call Survey and Feedback Automation
After a call ends in RingCentral, tray.ai can trigger a follow-up SMS or email survey through SurveyMonkey, Typeform, or a custom form to capture customer satisfaction scores. Responses are written back to the CRM contact record or pushed into a data analytics platform for trend analysis. You get a closed-loop feedback system tied directly to individual call interactions.
Use case
Call Analytics and Reporting Pipelines
Pull RingCentral call logs, usage metrics, and performance data on a schedule and push them into your data warehouse or BI tool for advanced reporting. Operations and finance teams get accurate call volume trends, average handle times, and per-extension breakdowns without relying solely on RingCentral's built-in reports. You can also blend call data with CRM revenue data to measure the actual ROI of your communications stack.
Use case
Team Alerting and Escalation Workflows
Use RingCentral team messaging and SMS as a notification channel within broader business workflows — alerting on-call engineers when a monitoring tool fires, notifying sales managers when a high-value deal is being discussed, or escalating support cases that have breached SLA. tray.ai routes alerts from any upstream system into RingCentral messages with contextual data and action links. The right person gets the right message through their preferred channel, and alert fatigue doesn't become the default.
Use case
AI Agent-Powered Call Insights
Feed RingCentral call transcripts and recordings into an AI agent built on tray.ai to automatically extract action items, classify call sentiment, identify competitor mentions, and update CRM fields with structured insights. Unstructured conversation data becomes something you can actually act on — no manual review needed. Sales leaders can surface coaching opportunities and win/loss signals across thousands of calls per week.
Build RingCentral Agents
Give agents secure and governed access to RingCentral through Agent Builder and Agent Gateway for MCP.
Data Source
Look Up Call Logs
Retrieve historical call logs including caller details, duration, timestamps, and outcomes. An agent can use this data to analyze communication patterns or give context for customer interactions.
Data Source
Fetch Voicemail Messages
Access voicemail transcriptions and metadata from RingCentral inboxes. An agent can surface unread voicemails, summarize their content, and prioritize follow-ups.
Data Source
Retrieve Contact Information
Look up internal and external contact details stored in RingCentral's directory. An agent can resolve phone numbers, extensions, and user profiles to enrich other workflows.
Data Source
Monitor Extension Status
Check the presence and availability of users or extensions in real time. An agent can use this to route calls intelligently or notify teams when contacts become available.
Data Source
Pull SMS Message History
Retrieve inbound and outbound SMS conversations from RingCentral. An agent can analyze message history to provide context before escalating or responding to a customer.
Agent Tool
Send SMS Messages
Send SMS messages to customers or internal team members via RingCentral. An agent can use this to deliver appointment reminders, alerts, or follow-up messages automatically.
Agent Tool
Make and Initiate Calls
Trigger outbound calls through RingCentral's telephony infrastructure programmatically. An agent can initiate calls as part of automated outreach sequences or escalation workflows.
Agent Tool
Create and Update Contacts
Add new contacts or update existing records in the RingCentral directory. An agent can keep contact information in sync with CRM data or other business systems.
Agent Tool
Send Fax
Transmit fax documents through RingCentral to specified recipients. An agent can automate fax delivery for industries that still rely on it, like healthcare or legal.
Agent Tool
Manage Call Queues and Routing Rules
Update call queue settings, routing rules, and IVR configurations in RingCentral. An agent can adjust call routing on the fly based on staffing levels, time of day, or business conditions.
Agent Tool
Post to Team Messaging
Send messages to RingCentral Teams (Glip) channels or direct conversations. An agent can post alerts, summaries, or workflow notifications directly into team chat threads.
Channel
Respond to Team Messages
Deploy an AI agent inside RingCentral Teams (Glip) to answer user questions and requests in real time. Users can interact with the agent through direct messages or group channels without leaving RingCentral.
Channel
Handle Inbound SMS Conversations
Let an AI agent manage inbound SMS threads in RingCentral, responding to customer inquiries, qualifying leads, or routing messages to the right team. It runs 24/7 directly through RingCentral's messaging infrastructure, so nothing falls through the cracks.
Get started with our RingCentral connector today
If you would like to get started with the tray.ai RingCentral connector today then speak to one of our team.
RingCentral Challenges
What challenges are there when working with RingCentral and how will using Tray.ai help?
Challenge
Handling RingCentral Webhook Reliability and Event Volume
RingCentral delivers call and SMS events via webhooks, but high-volume environments can produce bursts of events that overwhelm downstream systems. Webhook subscriptions also expire and must be renewed — silent data loss is a real risk if no one catches it in time.
How Tray.ai Can Help:
tray.ai has built-in webhook ingestion that queues and processes events reliably at scale, so nothing gets dropped during traffic spikes. Workflow logic can also automatically detect and renew expiring RingCentral webhook subscriptions, removing the manual maintenance burden.
Challenge
Phone Number Matching Across Systems
RingCentral delivers phone numbers in various formats — E.164, local, with or without country codes — which frequently fail to match what's stored in your CRM or helpdesk. Failed lookups mean duplicate records and gaps in contact history.
How Tray.ai Can Help:
tray.ai's data transformation tools let you normalize phone numbers to a consistent format before performing lookups, and you can build fuzzy-matching logic to handle edge cases. Record matching stays accurate across RingCentral and every connected system.
Challenge
Accessing Historical Call Data and Pagination
RingCentral's call log and analytics APIs paginate results, which makes backfilling historical data or running large batch syncs genuinely complex. Pagination tokens, rate limits, and partial failures all have to be handled carefully or you end up with incomplete datasets.
How Tray.ai Can Help:
tray.ai's loop and pagination utilities automatically handle multi-page API responses from RingCentral, retrying failed requests and tracking progress so bulk historical syncs complete accurately. Built-in rate limit handling prevents API errors from halting your data pipelines.
Challenge
Routing Events to the Right Teams Based on RingCentral Context
Calls and messages arrive on different RingCentral queues, extensions, and numbers that map to different business units, regions, or products. Without routing logic, everything lands in the same place and someone has to sort it out manually.
How Tray.ai Can Help:
tray.ai workflows support conditional branching based on any RingCentral event attribute — queue name, extension, called number, or department. You build the routing logic once, and it automatically directs calls, tickets, and alerts to the right team every time.
Challenge
Keeping Call Data in Sync When Contacts Merge or Update
When CRM contacts are merged, reassigned, or have phone numbers updated, historical RingCentral call logs tied to old records can become orphaned. Those gaps in communication history have a real impact on sales and support teams trying to understand a customer relationship.
How Tray.ai Can Help:
tray.ai can listen to CRM merge and update events and trigger a re-association workflow that re-links RingCentral call log entries to the new canonical contact or account. Communication history stays clean and continuous without manual data cleanup.
Talk to our team to learn how to connect RingCentral with your stack
Find the tray.ai connector with one of the 700+ other connectors in the tray.ai connector library to integrate your stack.
Integrate RingCentral With Your Stack
The Tray.ai connector library can help you integrate RingCentral with the rest of your stack. See what Tray.ai can help you integrate RingCentral with.
+Salesforce & RingCentral
Learn how to integrate Salesforce and RingCentral together
+HubSpot & RingCentral
Learn how to integrate HubSpot and RingCentral together
+Zendesk & RingCentral
Learn how to integrate Zendesk and RingCentral together
+Microsoft Teams & RingCentral
Learn how to integrate Microsoft Teams and RingCentral together
+Slack & RingCentral
Learn how to integrate Slack and RingCentral together
+Servicenow & RingCentral
Learn how to integrate Servicenow and RingCentral together
Start using our pre-built RingCentral templates today
Start from scratch or use one of our pre-built RingCentral templates to quickly solve your most common use cases.
Template
RingCentral Call to Salesforce Activity Log
Automatically creates or updates a Salesforce activity record whenever a RingCentral call is completed, logging duration, caller ID, call direction, and a link to the recording.
Steps:
- Trigger on RingCentral call completed webhook event
- Look up matching Salesforce contact or lead by phone number
- Create a Salesforce Task or CallLog activity with call metadata and recording URL
Connectors Used: RingCentral, Salesforce
Template
Missed Call to Zendesk Ticket with Voicemail Transcript
When a RingCentral voicemail comes in, this template creates a new Zendesk ticket with the caller's details, voicemail transcript, and audio attachment, then assigns it to the appropriate support group.
Steps:
- Trigger on RingCentral new voicemail webhook event
- Fetch voicemail audio file and transcript from RingCentral API
- Create Zendesk ticket with caller phone number, transcript body, and audio attachment
- Route ticket to correct group based on extension or queue name
Connectors Used: RingCentral, Zendesk
Template
Inbound SMS Lead to HubSpot and Slack Alert
Captures inbound SMS messages from RingCentral, creates or updates a HubSpot contact, and sends the sales rep a Slack notification with the message content and a direct link to the contact record.
Steps:
- Trigger on RingCentral inbound SMS webhook
- Search HubSpot for existing contact by phone number, create new if not found
- Log SMS content as a HubSpot note on the contact timeline
- Send Slack DM to assigned owner with message preview and HubSpot contact link
Connectors Used: RingCentral, HubSpot, Slack
Template
Post-Call CSAT Survey via Typeform SMS
Sends a personalized Typeform survey link via RingCentral SMS within five minutes of a support call ending, then syncs the completed response back to the CRM and a Google Sheet for tracking.
Steps:
- Trigger on RingCentral call completed event for inbound queue calls
- Generate a unique Typeform response link pre-filled with call and contact data
- Send SMS via RingCentral to the caller's number with the survey link
- On Typeform submission webhook, write CSAT score to Salesforce contact and append row to Google Sheet
Connectors Used: RingCentral, Typeform, Google Sheets, Salesforce
Template
RingCentral Call Logs to Snowflake Data Pipeline
Runs on a schedule to pull RingCentral call log data via the analytics API and upsert records into a Snowflake table for BI reporting and executive dashboards.
Steps:
- Schedule trigger runs every hour
- Call RingCentral Analytics API to fetch call logs since last successful run
- Transform and normalize call records into target schema
- Upsert records into Snowflake calls table using session ID as primary key
Connectors Used: RingCentral, Snowflake
Template
RingCentral Call Transcript AI Summarization to CRM
After a call recording is processed, this template sends the transcript to an LLM to generate a summary, extract action items, and detect sentiment, then writes structured results back to the CRM deal record.
Steps:
- Trigger on RingCentral call recording ready webhook
- Fetch transcript text from RingCentral API
- Send transcript to OpenAI with a structured prompt requesting summary, action items, and sentiment
- Parse LLM response and update HubSpot deal with summary note, tasks for action items, and sentiment field
Connectors Used: RingCentral, OpenAI, HubSpot