SmartPath AI
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SmartPath AI
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Voice AI That Understands, Responds & Acts
We build enterprise-grade voice AI systems that replace outdated IVR menus, automate outbound communications, and give your teams hands-free access to the systems they depend on — all with natural, conversational interaction.
Call Received
Inbound call detected
Voice Authenticated
Intent Recognised
Data Retrieved
Response Delivered
73%
Reduction in average handle time
40+
Languages supported natively
92%
First-call resolution rate
60s
Average caller authentication time
Choose a call scenario and run the simulation to see exactly how our voice AI authenticates, understands, and resolves — step by step.
TRIGGER: Inbound call — retail bank · peak hour
Greeting & authentication
Intent classified
Core banking queried
Response synthesised
Call logged
From inbound call automation to secure voice authentication — each deployment is engineered for your specific environment and requirements.
Replace IVR menus with conversational AI that understands natural speech, routes calls intelligently, and resolves common inquiries without agent involvement.
Deploy voice AI alongside human agents to transcribe calls in real time, surface relevant knowledge, and suggest responses — reducing handle time and improving quality.
Automate outbound communications at scale — appointment reminders, payment follow-ups, survey collection — with natural-sounding AI that adapts to caller responses.
Serve global customer bases with voice assistants that detect language automatically and respond fluently across 40+ languages without separate infrastructure.
Give enterprise teams hands-free access to internal systems — query inventory, log updates, retrieve records — via voice commands integrated into your existing stack.
Replace PINs and security questions with passive voice biometric authentication — verifying caller identity within seconds based on voice patterns, not memorized credentials.
Three enterprise voice AI engagements — the challenge, the solution, and the outcome.
⚠ The Challenge
A retail bank was handling 85,000+ inbound calls monthly. 61% were routine inquiries — balance checks, transaction history, branch hours — that consumed frontline agent capacity and pushed average wait times to 14 minutes during peak hours.
⚡ What We Built
We deployed a conversational voice AI on the inbound call layer that authenticates callers via voice biometrics, resolves routine inquiries autonomously, and transfers only complex cases to agents with full call context pre-loaded. The system handles 40+ inquiry intents across 3 languages.
61%
Of calls resolved without agent
14→2
Minute average wait time
97%
Caller authentication accuracy
$1.2M
Annual agent cost reduction
Our agents now spend their time on the calls that actually need human judgment. The voice AI handles everything else better than our IVR ever did.
— Head of Contact Centre Operations
⚠ The Challenge
A regional insurance provider was handling 12,000+ monthly claims intake calls with a team of 28 agents. Average intake calls lasted 18 minutes, with agents spending the majority of that time collecting structured information that followed the same script every time.
⚡ What We Built
We built an outbound and inbound voice AI that guides policyholders through the full claims intake process — collecting incident details, policy numbers, and supporting documentation instructions — then passes a fully structured intake record to the claims adjuster, eliminating manual data transcription entirely.
18→6
Minute average intake call
100%
Structured data capture on every call
43%
Reduction in intake agent headcount needed
4.6★
Policyholder satisfaction score
Adjusters now receive a complete, structured intake record before they even pick up the phone. It's transformed how our claims team operates.
— VP of Claims Operations
⚠ The Challenge
Field technicians were required to log job updates, inventory usage, and delivery confirmations into a mobile app — a process that took 8–12 minutes per job and was frequently skipped or completed inaccurately hours after the fact.
⚡ What We Built
We deployed a voice-enabled operations assistant accessible via phone or Bluetooth headset that allows technicians to log job data entirely by voice. The system understands job-specific terminology, confirms entries back to the technician, and writes directly to the field management platform via API.
8min→45s
Job logging time
99%
Same-shift logging compliance
41%
Reduction in data entry errors
4.8★
Technician satisfaction score
Our techs went from dreading paperwork to logging jobs while walking back to their van. The accuracy improvement alone justified the project.
— Director of Field Operations
Legacy IVR was built for a world where callers had to adapt to systems. Voice AI adapts to callers.
Legacy IVR frustrates callers with rigid menus
Conversational AI understands natural speech — no menu navigation required
Script-based bots fail on unexpected caller responses
Our NLP models handle interruptions, rephrasing, and off-script inputs gracefully
No visibility into what callers are actually asking
Full call transcription and intent analytics reveal real caller needs in real time
Multi-language support requires separate infrastructure
Single deployment handles 40+ languages with automatic detection at greeting
A structured 4-phase engagement — from call flow audit to live deployment and continuous improvement.
We audit your existing call flows, IVR trees, and agent scripts to identify automation opportunities ranked by call volume and resolution complexity.
We design intent models, entity extractors, and dialogue flows specific to your domain — trained on your terminology, products, and caller patterns.
The voice AI is integrated with your telephony platform, CRM, and backend systems. We run shadow mode testing against live call traffic before full deployment.
Post-launch, we monitor intent recognition accuracy, escalation rates, and resolution quality — continuously retraining on real call data to improve over time.
Tell us about your current call volume and pain points. We'll show you what a voice AI deployment can achieve in your specific environment within 14 days.