Automated File Connection

RingCentral Data Integration | Contact Center Analytics

Connect RingCentral Contact Center exports. Your AI agent queries omnichannel sessions, agent performance, customer sentiment, NPS scores, and speech analytics — then correlates with cross-channel insights from 1,400+ data sources.

  • 1,400+ data sources
  • Any warehouse or BI tool
SOC 2 Type II, examined by BARR Advisory HIPAA: we sign Business Associate Agreements
improvado.io/agent · RingCentral
A
Improvado Agent
Connected to RingCentral
What's our NPS this month and which interaction topics are driving detractor scores?
Your NPS is +42 this month (67% promoters, 25% detractors across 2,134 surveys). Top detractor topics from speech analytics: "billing dispute" (mentioned in 34% of detractor calls, avg sentiment -0.72), "long wait time" (28%, -0.65), and "transfer multiple times" (19%, -0.58). Average handle time for these calls is 9m 23s vs. 5m 12s overall.
Alert me when billing dispute calls rise and flag agents with 3+ transfers per call for coaching
Done. Alert set on billing dispute call volume, with a recommendation to route the billing queue to senior agents (4+ years experience). 7 agents averaging 3.2+ transfers are flagged for coaching: I'll send a weekly report to supervisors so they can review calls and schedule 1-on-1 sessions.

Trusted by data-driven teams

1,400+
Data sources
200+
RingCentral Fields
99.9%
SLA Uptime
0
Pipelines to maintain
SOC 2
Type II
Key Takeaways

What your AI agent extracts from RingCentral

Improvado pulls customer sessions across voice, chat, email, SMS, and social media with merged digital identities and full interaction history. Your agent accesses agent KPIs (handle time, productivity, coaching scores), queue routing stats (wait times, first-contact resolution), NPS and customer effort scores, sentiment analysis, speech analytics (topic/phrase spotting), and workforce metrics. Data refreshes on your export schedule via email, SFTP or S3.

200+ metrics and dimensions Campaigns, ad groups, keywords, audiences, geo, device — all granularity levels from the RingCentral exports
Refreshed on your schedule Each new export loads automatically. No stale dashboards.
Cross-channel normalization Marketing CDM unifies your data with 1,400+ data sources into one schema. No manual mapping.
Any warehouse or BI tool Snowflake, BigQuery, Redshift, Databricks, Power BI, Tableau, Looker Studio
AI Agent access via MCP Query and monitor RingCentral through Claude, ChatGPT, Cursor, or any MCP client
Enterprise-grade security SOC 2 Type II, HIPAA, GDPR, CCPA. Raw data never leaves your environment.
Automated file delivery Exports arrive by email, SFTP or S3 on your schedule. Columns are mapped automatically.
Zero ongoing maintenance No connector to build or maintain. Your team focuses on analysis.
Integration Details

Full Omnichannel Contact Center Metrics

Improvado pulls customer sessions across voice, chat, email, SMS, and social media from RingCentral with merged digital identities and interaction history. We capture agent KPIs including handle time, productivity, coaching scores, queue routing stats, first-contact resolution, NPS and customer effort scores, sentiment analysis, speech analytics with topic spotting, and workforce metrics.

RingCentral exports · email, SFTP or S3 · on your schedule
Schema Overview

Data objects and fields Improvado extracts from RingCentral

Object Fields
Sessions
session_id channel start_time end_time customer_id agent_id queue_id sentiment_score transcript topics
Agents
agent_id name skills handle_time productivity_score coaching_score sentiment_avg sessions_handled status
Customers
customer_id merged_identity interaction_history nps_score effort_score ambassador_flag channel_preferences crm_data
Sentiment
session_id sentiment_score topics phrases detractor_flag timestamp channel
Queues
queue_id name wait_time sessions_waiting routing_rules first_contact_resolution service_level
NPS
survey_id customer_id score category timestamp session_id feedback_text
How it works

From scheduled exports to answers in three steps

01

Connect

Connect: Schedule RingCentral report exports to Improvado by email, SFTP or S3. Select data objects (sessions, agents, sentiment, NPS, speech analytics) and set the export schedule. Each file is processed and loaded automatically.
02

Ask

Query: Ask "Which topics are trending in detractor calls this week?" and your agent surfaces speech analytics: "billing dispute" (142 mentions, -0.68 sentiment), "account access" (89 mentions, -0.54 sentiment), "feature confusion" (67 mentions, -0.49 sentiment) with transcript examples and agent performance correlations.
03

Report

Report: Your agent turns RingCentral data into action items: recommends routing changes based on sentiment patterns, flags agent skill and queue priority gaps, identifies low-performing agents for coaching, and sends reports and alerts to Slack or email — your team makes the changes in RingCentral.
Use Cases

What teams ask their AI agent about RingCentral

Real prompts from enterprise marketing teams. The agent reads your data, answers in seconds, and takes action when you ask.

See how teams use Improvado →
A
Improvado Agent Analysis

Show me NPS detractors from the last 7 days with their interaction transcripts and sentiment scores

Your AI agent analyzes RingCentral data and delivers actionable insights — automatically, in seconds.

4 hrs → 15 min
A
Improvado Agent Cross-channel

Compare average handle time and customer effort scores across voice and chat channels this quarter

Your AI agent analyzes RingCentral data and delivers actionable insights — automatically, in seconds.

Manual → auto
A
Improvado Agent Reporting

Identify agents with highest sentiment scores for ambassador customers and recommend routing changes

Your AI agent analyzes RingCentral data and delivers actionable insights — automatically, in seconds.

6 hrs → 25 min
AI Agent Access

Your agent doesn't just read RingCentral — it reports on it.

Claude, ChatGPT, and Cursor can work with your RingCentral Contact Center data: recommend routing changes based on sentiment data, flag agents for coaching, build and send reports to Slack or email, and set alerts on queue and workforce metrics. Your team makes every change in RingCentral.

Explore MCP →

Read

Read: Customer sessions (voice/chat/email/SMS with merged digital identities), agent KPIs (handle time, productivity, skills, coaching scores), queue routing stats (wait times, first-contact resolution), sentiment analysis (AI-driven scores), NPS and customer effort scores (ambassador/detractor flags), speech analytics (topic/phrase spotting), conversation transcripts, and workforce metrics (scheduling, adherence).

Report

Report: Build and send reports on sentiment and performance data, compare agent skills and queue results across channels, deliver coaching digests to Slack or email, track workforce schedules and adherence, and recommend routing and dialer changes for your team to make.

Monitor

Monitor: Alerts on NPS drops below thresholds, sentiment score anomalies by agent or topic, customer effort score spikes, speech analytics trends indicating emerging issues, queue wait times exceeding SLAs, first-contact resolution declines, agent productivity deviations, and digital identity merge conflicts across channels.
Improvado Agent · RingCentral
You
Show me NPS detractors from the last 7 days with their interaction transcripts and sentiment scores
A
NPS Detractors — Last 7 Days
Customer ID NPS Score Sentiment
CUST-8847 · Voice + Chat 3/10 -0.72 negative
CUST-9203 · Email + SMS 2/10 -0.84 negative
CUST-7651 · Voice 4/10 -0.58 negative
CUST-8392 · Chat + Social 3/10 -0.69 negative
CUST-9104 · Voice + Email 1/10 -0.91 negative
5 detractors · avg 2.6 NPS · avg -0.75 sentiment
You
Send a weekly NPS detractor digest to #support-leads
A
Weekly digest scheduled
Mondays 9:00 · #support-leads
Works with
ClaudeChatGPTCursorGeminiAny MCP Client
SOC 2 Type II
Certified Security
HIPAA
Health Data Privacy
GDPR
EU Data Protection
CCPA
CA Privacy Standard
Compare

They extract data. Improvado deploys an agent.

Traditional tools move data from A to B. Improvado gives you an AI agent that reads, reports, and monitors — with RingCentral as one of 1,400+ data sources.

Feature Improvado Supermetrics Funnel.io Fivetran
Data fields extracted 200+ ~90 ~120 ~80
Total data sources 1,400+ ~150 ~500 ~300
Cross-channel normalization (CDM) ✓ Built-in ✗ Manual Basic mapping ✗ Raw only
AI Agent access (MCP) ✓ Read, Report, Monitor ✗ ✗ ✗
Data warehouse destinations ✓ 16+ warehouses & BI tools Sheets, Looker, BigQuery BigQuery, Snowflake, Redshift ✓ Broad warehouse support
Refresh frequency Every 15 min Scheduled triggers Daily / 6hr Every 15 min (premium)
SOC 2 Type II & HIPAA ✓ ✗ SOC 2 only ✓ SOC 2 ✓
Best for Teams that want an AI agent, not a pipeline Small teams, spreadsheets Mid-market, data teams Engineering-led ELT pipelines

Comparison based on publicly available documentation as of April 2026. Feature availability may vary by plan tier.

FAQ

Frequently asked questions

How does Improvado connect to RingCentral?
Improvado connects through scheduled RingCentral Contact Center report exports that reach Improvado automatically by email, SFTP or S3. Select the data objects you want to export (sessions, agents, sentiment, NPS) and set the export schedule in RingCentral. Historical data can be loaded from past exports depending on your RingCentral retention settings.
What RingCentral data does Improvado pull?
Improvado extracts customer sessions (voice calls, chats, emails, SMS with merged digital identities), agent performance (handle time, productivity, skills, coaching scores), queue routing data (wait times, first-contact resolution), sentiment analysis (AI-driven scores), NPS and customer effort scores (with ambassador/detractor flags), speech analytics (topic/phrase trends), conversation transcripts, and workforce metrics (scheduling, adherence). Data refreshes on your export schedule.
How often does RingCentral data refresh?
RingCentral data refreshes on your export schedule. Session data, agent KPIs, sentiment scores, NPS results, speech analytics, and workforce metrics update each time a scheduled export reaches Improvado by email, SFTP or S3. You set the export frequency in RingCentral based on your needs.
Can the AI agent write data back to RingCentral?
No. RingCentral data reaches Improvado as file exports, so the agent does not change anything in RingCentral. It recommends routing and queue changes based on performance data, flags agents for coaching, sends reports and alerts to Slack or email, and your team applies changes in RingCentral.
Is RingCentral data secure with Improvado?
Yes. Improvado is SOC 2 Type II certified, HIPAA compliant, and GDPR ready. All RingCentral data is encrypted in transit (TLS 1.3) and at rest (AES-256). Delivery credentials are stored in secure vaults with role-based access controls. Improvado never stores raw call recordings or PII unless explicitly configured, and all data processing occurs within your designated geographic region with 99.99% uptime SLA.
How does RingCentral connect with other platforms in Improvado?
Improvado maps RingCentral data to a Common Data Model that unifies contact center metrics with marketing, sales, and support data from 1,400+ data sources. Your AI agent can correlate RingCentral NPS scores with HubSpot customer lifecycle stages, compare sentiment analysis against Intercom chat satisfaction, or analyze how paid media campaigns (Google Ads, LinkedIn) impact contact center volume, handle times, and customer effort scores across all channels.