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Call Analytics

AI Call Analytics That Turn Every Conversation Into a Decision

OnDial Smart Analytics listens to 100% of your calls, scores quality automatically, and tells your team what to fix this week. No sampling. No spreadsheets.

Book an Enterprise Consultation
See a Live Analytics Walkthrough
  • HIPAA
  • GDPR
  • PCI DSS
  • SOC 2
  • ISO 27001
  • 100+ Languages
  • Sub-200ms Latency

Overview

Every conversation becomes structured data

Smart Analytics is OnDial's AI conversation analytics layer. It transcribes, analyses, and scores every voice interaction your business handles, turning conversations into structured data your systems can act on.

How AI call analytics works

Every call, AI-handled or human-handled, is transcribed in real time at 99.4% accuracy across 100+ languages. The engine extracts intent, sentiment, objections, buying signals, compliance events, and outcomes, scored against your rubric and pushed into your CRM and dashboards.

Who uses conversational analytics

Contact center directors use it to see why handle time moved. Sales leaders find the objection that killed last quarter's pipeline. Quality teams replace 2% manual sampling with 100% automated call quality monitoring.

Key advantages

Full coverage on every call, real-time signal with escalation during the call, native conversation intelligence because OnDial runs the voice agent, and enterprise-ready multilingual integration audited against global privacy standards.

Challenge

97% of customer evidence is never examined

QA teams typically sample 1% to 3% of interactions, which means the other 97% of your customer evidence is never examined. Managers listen to recordings instead of coaching, repeat contacts get logged as new tickets, and churn signals sit inside conversations nobody replayed until the quarterly report surfaces the trend.

Comparison

Problems with the traditional call review process

FocusTraditional processOnDial AI Voice Agents
Coverage
1% to 3% of calls sampled manually
100% of calls analysed automatically
Speed
Insights arrive weeks later
Sentiment and outcomes scored in real time
Consistency
QA scores vary by reviewer
One consistent, configurable rubric
Disposition
Disposition codes typed by tired reps
Outcomes extracted from what was actually said
Languages
Reporting stops at English
100+ languages scored equally
Data access
Data trapped in a recording archive
Structured fields written to your CRM

Solution

One pipeline from connect to decision

Smart Analytics runs one pipeline from the moment a call connects to the moment a decision lands on someone's screen. Because OnDial owns both the voice agent and the analytics engine, nothing is reconstructed afterwards from a lossy recording.

Process

From audio stream to actionable insight

  1. 01

    Call connects

    Inbound or outbound, AI-handled or human-handled, audio streams into OnDial.

  2. 02

    Real-time transcription

    Speech becomes text in under 200 milliseconds, language detected automatically.

  3. 03

    AI conversation analysis

    Intent, sentiment, objections, compliance phrases, and outcomes extracted live.

  4. 04

    Automatic scoring

    Each call graded against your rubric, with no reviewer time required.

  5. 05

    CRM write-back

    Summary, disposition, sentiment, and next best action written to the record.

  6. 06

    Dashboard and alerts

    Trends update instantly, and threshold breaches notify the right owner in Slack or email.

Features

What Smart Analytics ships with

Enterprise conversation intelligence with automated scoring and CRM sync.

AI call summarisation

Summaries, action items, and follow-ups on every call.

Real-time sentiment intelligence

Emotion detected live, with response adaptation or human escalation.

Automated quality scoring

Your rubric, applied to every interaction, consistently.

Conversation intelligence

Buying signals, churn risk, and recurring intent across the whole corpus.

CRM and BI sync

Structured outcomes pushed to Salesforce, HubSpot, and your warehouse.

Predictive next best action

The recommended follow-up, attached to the record.

Capabilities

What holds up when conversations go sideways

Features describe what ships. Capabilities describe what holds up when a real conversation goes sideways.

  • Understands 50+ regional accents without retraining
  • Follows interruptions, overlapping speech, and mid-sentence corrections
  • Switches language mid-call while preserving context and scoring continuity
  • Distinguishes a frustrated customer from a fast talker
  • Reads outcomes from ambiguous endings, not just explicit confirmations
  • Covers voice, WhatsApp, SMS, email, and web through one shared memory

Benefits

Value by stakeholder

Sales

See which objections precede lost deals and which phrasing precedes won ones.

Operations

Watch handle time and queue pressure move live. Fix the defect behind repeat contacts instead of hiring to absorb it.

Finance

Tie every call to a cost and an outcome. Model cost per resolution instead of estimating it.

Customer Support

Replace sampled QA with full coverage and give every agent fair, consistent feedback.

Management

One source of truth for sentiment across regions, languages, and channels.

Industries

Call analytics across your footprint

Purpose-built analytics for regulated and high-volume verticals.

Healthcare

Monitor patient call handling and PHI exposure.

Explore

Finance and Banking

Evidence disclosure compliance on every recorded call.

Explore

Insurance

Score claim call sentiment and first-notice-of-loss quality.

Explore

Real Estate

Track which enquiries convert to viewings.

Explore

Retail and E-commerce

Catch order and returns friction before it reaches review sites.

Explore

Transportation and Logistics

Spot delivery exception patterns from driver and customer calls.

Explore

Conversation

From speech to structured outcome

  1. Step 01

    Customer speaks

    Audio streams from any handled call into the analytics pipeline.

    1
  2. Step 02

    Live transcription

    Speech becomes text in under 200 milliseconds.

    2
  3. Step 03

    Intent detection

    The engine identifies what the caller wanted from natural speech.

    3
  4. Step 04

    Sentiment scoring

    Emotion and tone scored against your rubric in real time.

    4
  5. Step 05

    Compliance check

    Required disclosures and prohibited phrases checked on every call.

    5
  6. Step 06

    Outcome extraction

    Resolution, disposition, and next action extracted from what was said.

    6
  7. Step 07

    CRM update

    Structured fields and summary written to the customer record.

    7
  8. Step 08

    Alert or escalation

    Threshold breaches notify the right owner immediately.

    8
  9. Step 09

    Call summary delivered

    Full transcript, score, and recommendations logged to dashboards.

    9

Integrations

Connect to the stack you already run

Outcomes sync both ways, so a disposition written by the AI is visible to the rep picking up the follow-up.

CRM

  • Salesforce
  • HubSpot
  • Zoho

Calendar

  • Google Calendar
  • Outlook

Telephony

  • Twilio
  • SIP trunking
  • Existing contact center platforms

Communication

  • Slack
  • Microsoft Teams
  • Email

Automation and BI

  • Zapier
  • Webhooks
  • Warehouse export

Security

Built to be audited, not just described

Every conversation, transcript, and recording is governed by AI-specific controls covering retention, redaction, and access.

  • SOC 2: Audited security, availability, and confidentiality controls
  • ISO 27001: Certified information security management
  • HIPAA: Protected health information handled on every call
  • GDPR: Privacy by design for EU data subjects
  • PCI DSS: Secure handling of payment conversations
  • Data encryption in transit and at rest
  • Audit logs with full traceability across calls, agents, and workflows

Languages

100+ languages. 50+ regional accents.

Automatic language detection on connect, mid-conversation switching while holding intent and context, and 99.4% transcription accuracy across supported languages.

  • English, Spanish, French, German, Portuguese, Italian, Russian, Arabic, Japanese, Korean, Chinese
  • Hindi, Hinglish, Tamil, Telugu, Bengali, Marathi, Gujarati, Kannada, Malayalam, Punjabi
  • Entering a new market becomes a routine decision rather than a hiring plan

Deployment

Live in four weeks

  1. Phase 01Week 1
    Week 1

    Week 1 - Discovery

    Call flows mapped, rubric defined, success metrics agreed.

  2. Phase 02Week 2
    Week 2

    Week 2 - Integration

    Telephony, CRM, and communication tools connected.

  3. Phase 03Week 3
    Week 3

    Week 3 - Calibration

    Scoring tuned against historical calls, reviewed with your QA leads.

  4. Phase 04Week 4
    Week 4

    Week 4 - Go live

    Full-volume analysis, dashboards published, alerting active.

Outcomes

Measurable analytics performance

Call coverage
100%
Manual QA reduction
Up to 80% less
Transcription latency
<200ms
Transcription accuracy
99.4%
Escalation timing
Real-time
Languages supported
100+

Comparison

Human QA team vs legacy IVR reporting vs OnDial

CapabilityHuman agentTraditional IVROnDial
Call coverage
1% to 3% sample
Menu paths only
100% of calls
Sentiment analysis
Subjective
None
Real time, scored
Languages
Limited by staffing
Limited
100+
Scoring consistency
Varies by reviewer
Not applicable
One rubric, applied identically
Time to insight
Days to weeks
Batch reports
Live
CRM write-back
Manual
Rare
Automatic
Cost to scale
Linear headcount
Fixed but shallow
Marginal

Pricing

Start where you are

Usage-based and enterprise tiers, with implementation support across all plans.

Starter

For teams validating AI Call Automation on a single use case, with core integrations and standard support. Usage-based pricing with no long-term commitment.

Enterprise

For multi-market, multi-workflow deployments requiring SSO, advanced compliance controls, dedicated environments, and an SLA. Includes a named solution architect.

Custom

For regulated or high-complexity environments needing bespoke integrations, specific data residency, or on-premise considerations.

View pricing

Frequently asked questions

Straight answers on accuracy, integrations, compliance, and rollout.

Software that automatically transcribes and analyses phone conversations to extract intent, sentiment, quality scores, and outcomes without manual review.

Recording stores audio. Conversation analytics reads it, understands what happened, scores it, and writes structured data into your systems.

Both. Calls handled by OnDial AI voice agents and calls handled by your human team run through the same pipeline and rubric.

99.4% across 100+ languages, with automatic detection and support for 50+ regional accents.

Yes. Required disclosures, prohibited phrases, and consent language are defined as rules, and every call is checked against them.

Salesforce, HubSpot, Zoho, and any system reachable by API or webhook.

Four weeks from discovery to go live, including calibration against your historical calls.

No. Conversation data is not used for model training, and retention is configurable to your policy.

Yes. Criteria, weights, and thresholds are configurable through a no-code builder with no engineering involvement.

Pricing depends on call volume, languages, and integration scope. Book an enterprise consultation for a scoped quote.

Get Started

Take the next step

Choose the engagement that fits where you are.

  • Book an Enterprise Consultation. bring your call volume and current QA process
  • Call Analytics ROI Assessment. model cost per resolution against automated analysis
  • Live Analytics Walkthrough. watch real calls scored in real time
  • Solution Architect Session. bring telephony, CRM, and compliance constraints
Book an Enterprise Consultation
See a Live Analytics Walkthrough