Exotel moves calls. Rootle moves metrics.
Rootle is a KPI-first Voice AI built on Conversational OS, not just dial tones that connect calls. Every call drives cost-per-hire down, first-call resolution up, and revenue forward.
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Voice AI built around business outcomes.
Cloud telephony connects calls. Rootle's Conversational OS goes a layer deeper by understanding intent, tracking outcomes, and reporting what your calls actually produced.
Rootle vs. Exotel — a clear-eyed look
Both platforms operate in the voice space. Here's how they compare across the dimensions enterprise teams care about most.
| Rootle — KPI-First Voice AI | Exotel — Cloud Telephony | |
|---|---|---|
| Primary focus | Outcome-driven Voice AI, built to move business metrics forward | Cloud telephony & CPaaS, purpose-built for communication infrastructure |
| Voice AI | ✓ Emotion-aware, multi-turn conversational AI, and native to the platform | IVR and call routing; conversational AI available as an add-on |
| KPI dashboard | ✓ First-call resolution, cost-per-hire, conversion rate. All built into the platform | Call analytics and reporting; business KPIs typically via external tools |
| Conversational memory | ✓ Context retained across turns, sessions, and channels | Call-level context; session memory depends on integration setup |
| CRM / ATS sync | ✓ Pre-built, bidirectional connectors — zero custom code | API-based integrations suitable for developer-led implementation |
| Languages | ✓ 31+ languages with deep Indian regional voice support | Multi-language support via SMS and WhatsApp channels |
| Inbound + outbound | ✓ Unified AI agent with outcome tracking for both inbound and outbound | Both supported across voice, SMS, and WhatsApp channels |
| Pricing model | Usage-based pricing that is transparent and outcome-linked | Credit-based plans that are flexible for different team sizes |
| Best suited for | Enterprises measuring voice ROI across recruitment, support, sales, and collections | Dev teams building custom telephony and omnichannel communication stacks |
What does "KPI-first" actually mean?
It means every call is designed, measured, and optimized around business outcomes rather than raw call volume. Rootle's Conversational OS connects your voice channel to the metrics leadership actually reports on.
How Rootle delivers outcomes
A purpose-built stack connecting voice conversations to business results, without requiring you to assemble the pieces yourself.
Built for outcomes. Not for infrastructure.
Rootle packages everything an enterprise needs to run outcome-driven voice AI, so your teams focus on results, not tech debt.
Conversational OS
A proprietary orchestration layer connecting intent detection, memory, task execution, and CRM sync into a single coherent voice agent, rather than a patchwork of third-party APIs.
Outcome-linked call design
Workflows structured around business goals. Each dialogue path is optimized for resolution, conversion, or qualification, rather than just call completion rates.
Emotion-aware voice
Voice agents that detect caller mood in real time, adapt their tone and pacing, and seamlessly escalate to a human agent when the situation demands empathy over automation.
Bidirectional CRM sync
Every call outcome — candidate status, issue resolution, and lead score writes back to your ATS, CRM, or helpdesk automatically. with no manual data entry, no lag, and no export-import cycles.
Real-time KPI dashboard
A single screen showing first-call resolution, cost-per-hire, campaign conversion, and agent handoff rates, updated live, rather than overnight batch reports.
TRAI-compliant by default
Built for the Indian regulatory environment, covering DLT registration, outbound compliance, and data handling under Indian privacy frameworks. Compliance documentation included at onboarding.
Switch to Rootle if you're in any of these situations
Purpose-built for high-stakes enterprise use cases. Here is where it consistently delivers outsized ROI.
Real outcomes from real deployments
Rootle replaced our entire screening flow with a voice agent that screens, scores, and schedules — and we finally have a dashboard that tells us what it's costing us per qualified candidate.
Rootle resolves calls and tells you which resolution paths work best. We went from reporting call volume to reporting outcomes, and that is the real shift in how we run our support operation.
We evaluated building on raw telephony APIs. The engineering cost and timeline killed that option. Rootle had us live in seven days with pre-built workflows and the integrations we needed already there.