Now live — India, EU, UAE & Global

Handle 10,000 Calls.
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Deploy intelligent AI voice agents in minutes. Automate inbound & outbound calls in 40+ languages — Hindi, Arabic, Spanish, French & more. Cut costs by 80% while your competition scrambles to hire.

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Sub-600ms Latency
24/7 Availability
99.9% Uptime
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See FawksAI Handle Real Conversations

Select any industry — watch our AI agent handle an authentic scenario in real time.

Platform Features

Everything You Need to Scale Calls

Complete AI voice infrastructure — no five-vendor juggling, no hidden costs.

Inbound & Outbound Calls

Handle unlimited concurrent calls simultaneously. Never miss a lead or let a customer wait. Scale from 10 to 10,000 calls without adding a single agent.

8+ Language Support

Speak your customer's language natively — Hindi, Tamil, Telugu, Marathi, Bengali, Kannada, Malayalam, Arabic & English with natural accents, not robotic translation.

Custom Voice Cloning

Clone your brand voice or choose from 50+ premium AI voices. Build a consistent brand experience across every call — customers won't know it's AI unless you tell them.

CRM Integrations

Connects with Salesforce, HubSpot, Zoho, Freshdesk and 100+ tools. Every call auto-logs notes, updates deal stages and triggers follow-up workflows.

WhatsApp & SMS

After every call, automatically send confirmations, links and follow-ups via WhatsApp or SMS. One continuous conversation across voice and chat.

Post-Call Analytics

Full transcripts, sentiment scores, call summaries, conversion tracking and intent detection — all auto-generated. Know exactly what's working and what's not.

Human Handoff

Smart escalation when conversations need a human touch. Warm transfer with full context — your agent picks up exactly where the AI left off.

Sub-600ms Response

Conversations feel natural because our AI responds in under 600ms. No awkward pauses, no robotic delays. Fluid, real-time dialogue that customers love.

Enterprise Security

End-to-end encryption, regional data residency (India / EU), full GDPR compliance and AI EU Act alignment. Your data never crosses regions without consent.

Case Studies

Real Results for Real Businesses

From Pune startups to Delhi enterprises — what FawksAI delivers in production.

Healthcare

Mumbai Clinic Eliminates No-Shows

A 12-doctor clinic losing ₹4L/month to missed appointments. FawksAI calls every patient 24h and 2h before their slot, handles rescheduling automatically and sends WhatsApp confirmations in Hindi & Marathi.

62%
Fewer No-Shows
Staff Capacity
₹4L
Monthly Saved
Real Estate

Bengaluru PropTech 3× Lead Conversion

A fast-growing real estate startup sitting on 5,000+ unworked leads. FawksAI deployed an outbound agent that qualifies leads, schedules site visits and follows up — handling 500 leads per day, zero extra hires.

Conversion Rate
500
Leads/Day
82%
Cost Reduction
D2C / E-commerce

Delhi D2C Brand Recovers Abandoned Carts

A skincare brand with 68% cart abandonment. Their FawksAI agent calls within 15 minutes of abandonment, offers a personalised discount code in the customer's preferred language and logs outcomes to HubSpot.

34%
Cart Recovery
28×
Month 1 ROI
₹12L
Revenue Recovered
BFSI / Fintech

NBFC Automates Collections, Cuts Default Rate

A Hyderabad NBFC spending ₹8L/month on collection calls. FawksAI handles all EMI reminders, overdue notices and repayment scheduling in Telugu, Hindi and English with full compliance logging.

41%
Default Reduction
₹8L
Monthly Saved
100%
Audit Compliant
EdTech

Pune EdTech Platform 4× Enrolment Rate

A startup losing leads to slow follow-up. Their FawksAI agent now calls every signup within 5 minutes, pitches the right course, handles objections and closes enrolment — before a human counsellor would even dial.

Enrolment Rate
5 min
Lead Response
91%
CSAT Score
HR / Recruitment

Gurugram Staffing Agency Screens 10× Volume

Needed to screen 200+ candidates daily for IT clients. FawksAI's agent calls each candidate, runs a structured screening interview, scores responses and schedules only qualified candidates with hiring managers.

10×
Screening Volume
70%
Time Saved
2 days
Time to Place
How It Works

Live in 3 Steps. Under 30 Minutes.

No engineering degree required. If you can write a script, you can deploy a FawksAI agent.

01

Configure Your Agent

Define persona, script, language and call objective. Choose a voice, upload your knowledge base, connect your CRM — done in under 30 minutes from our dashboard.

02

Connect & Deploy

Assign a phone number, set inbound routing or trigger outbound campaigns via API. Go live with one click — instantly reachable across call, WhatsApp and SMS.

03

Scale & Optimise

Monitor real-time analytics, review transcripts and track conversion rates. Our AI learns from every conversation and gets sharper over time.

Language Support

Speaks Your Customer's Language

Native-quality AI voices across 40+ languages — not translation, real language models trained per dialect.

🇮🇳Hindi — हिन्दी
🇮🇳Hinglish — हिंग्लिश
🇮🇳Marathi — मराठी
🇮🇳Telugu — తెలుగు
🇩🇪German — Deutsch
🇪🇸Spanish — Español
🇫🇷French — Français
🇦🇪Arabic — العربية
🇮🇳Hindi — हिन्दी
🇮🇳Hinglish — हिंग्लिश
🇮🇳Marathi — मराठी
🇮🇳Telugu — తెలుగు
🇩🇪German — Deutsch
🇪🇸Spanish — Español
🇫🇷French — Français
🇦🇪Arabic — العربية
Transparent Pricing

Pay for Calls, Not Promises

No hidden fees. Pick the plan that fits your volume — upgrade or downgrade any time.

Free
/mo
  • 10 minutes included
  • 2 concurrent calls
  • 1 AI voice agent
  • Basic analytics
Most Popular
Starter
/mo
  • 200 minutes included
  • 4 concurrent calls
  • 3 AI voice agents
  • WhatsApp & SMS
  • CRM integrations
Pro
/mo
  • 900 minutes included
  • 6 concurrent calls
  • Custom voice cloning
  • Advanced analytics
  • Human handoff
Business
/mo
  • 3,000 minutes included
  • 10 concurrent calls
  • Full API access
Custom Plan
/mo
  • 150 resolutions included
  • Custom integrations
  • White-label option
Enterprise
Custom
Pricing available on request
  • Unlimited everything
  • Dedicated infra
  • 99.99% SLA
  • 24/7 TAM support

All plans include call recordings, transcripts and basic analytics. Prices shown exclude applicable taxes.

Integrations

Connects With Your Entire Stack

Native integrations with the tools your team already uses — set up in minutes.

Salesforce
HubSpot
Zoho CRM
WhatsApp Business
Twilio
Freshdesk
Zapier
Make (Integromat)
Google Sheets
Google Calendar
Shopify
Custom API / Webhook
Security & Compliance

Built for Trust — By Design

For MSMEs handling customer data, compliance isn't optional. FawksAI is architected with privacy-first principles so you can scale without legal risk.

GDPR Compliant

Full EU data protection. EU customer data stays in EU servers — always.

EU AI Act Ready

AI interaction transparency disclosures and audit logs built in by default.

India IT Act & DPDP

India customer data stored in Indian data centres. DPDP Act 2023 compliant.

End-to-End Encryption

All calls, transcripts and customer data encrypted at rest and in transit (TLS 1.3).

GDPR
EU AI Act
India IT Act
DPDP 2023
AES-256
TLS 1.3
Data Residency
ISO 27001
SOC 2 (In Progress)
Detailed Case Studies

Real Deployments. Measurable Impact.

Deep-dive into how businesses across industries deployed FawksAI — the exact workflows, automations and results.

EdTech · Open University

How Vidyasetu University Automated 85% of Student Inquiries With a Single AI Voice Agent

A state-approved open university with 1.5 lakh annual enrollments across 40+ distance learning programmes was drowning in inquiry calls. With 3 admission seasons a year and a counselor team of 28, over 60% of student queries went unanswered during peak periods.

85%
Queries Handled
by AI
Enrollment
Conversion
Live in
18 days
Company Profile
Organisation
Vidyasetu Open University
Type
State-recognised Open University
Annual Enrollments
1,50,000+ students
Programmes
40+ UG, PG & Certificate
Delivery Mode
Distance Learning + Hybrid
Languages Handled
Hindi, English, Marathi
The Problem
Over 1,200 inbound calls/day during admission season — 28 counselors handling <30% of volume
Students asking repetitive questions: eligibility, fees, last date to apply, exam schedule — counselors wasted 70% of time on these
Application status calls — students calling 3–4 times to check document verification status
Distance learning portal login issues — reset password, access issues — 18% of calls were only tech support
Zero follow-up on incomplete applications — 22,000 students drop off mid-application each year
How FawksAI Was Deployed — Full Workflow
1
📲
Student Calls Helpline
AI answers instantly, 24/7 — no hold music
2
🧠
Intent Detection
AI identifies: admission / status / course info / tech help
3
🔍
Live Data Lookup
Pulls application status, eligibility, fees via API in real time
4
Resolve or Escalate
85% resolved; complex cases warm-transferred to counselor
5
💬
WhatsApp Follow-up
Brochure, application link, deadline reminder sent automatically
WhatsApp: Brochure + Application Link
Email: Personalised Course Details PDF
SMS: Admission deadline reminder D-7 & D-1
Outbound: Auto-call incomplete applications at D-3
Warm Transfer: Context whispered to counselor before connect
Measured Results — Post 90-Day Deployment
85%
Queries resolved by AI without human
from 28%
4.2×
Enrollment conversion from inquiry to admission
from 1.1×
₹38L
Annual counselor cost avoided
Reinvested into counselor upskilling
91%
Student satisfaction score (CSAT)
from 64%
"

During our peak admission month, we used to have students on hold for 40 minutes. Now the AI handles everything instantly in Hindi and English — course details, fees, eligibility, even application status lookups. Our counselors only speak to students who are genuinely ready to enroll. Conversion went up 4× and our team finally has time to do meaningful work.

Prof. Arvind Kulkarni
Registrar, Vidyasetu Open University
Real Estate · Pan-India Brokerage

How NestConnect Realty Reactivated 80,000 Cold Leads and Booked 1,200 Site Visits in 30 Days

A Pan-India property brokerage with 400+ employees across 8 tier-1 cities was spending 70% of telecaller bandwidth on lead qualification — leaving massive Google and Facebook ad lead databases sitting idle while competitors moved faster.

10%
Conversion on
Cold Database
1,200
Site Visits
Booked / Month
72%
Telecaller
Time Freed
Company Profile
Company
NestConnect Realty
Presence
Mumbai, Delhi, Bengaluru, Pune, Hyderabad, Chennai, Kolkata, Ahmedabad
Team Size
400+ employees incl. 85 telecallers
Monthly Leads
12,000–18,000 (Google + Meta Ads)
Cold Database
80,000+ leads aged 30–180 days
Product Range
Residential, Commercial, Luxury, Plots
The Problem
Response time was 4–8 hours for new ad leads — competitors calling within minutes were converting first
85 telecallers spent 70% of time asking basic qualification questions (budget, property type, timeline) — wasteful for ₹25K/month employees
80,000 aged leads in CRM — labelled "dead" but never systematically re-engaged due to manpower shortage
Multiple project launches — telecallers confused about which launch to pitch to which lead segment; wrong pitches wasting calls
No immediate notification to sales agent when a lead expressed interest — delay of 30–90 mins before callback
Two Deployed Workflows

Workflow A — Instant New Lead Response (Google / Meta Ads)

1
📋
Lead Form Submit
Google/Meta ad → webhook triggers FawksAI
2
AI Calls in <90 sec
Qualifies budget, location preference, timeline, property type
3
🏷️
Lead Scoring
Hot / Warm / Cold tagged in CRM automatically
4
📅
Site Visit Booked
Hot leads: AI offers site visit slot, books in calendar
5
👤
Sales Agent Alert
SMS + Email instantly to right agent with full lead summary

Workflow B — Cold Database Reactivation

1
🗃️
CRM Upload
80K aged leads segmented by city, budget, last touchpoint
2
📞
Personalised Outbound
AI references their last inquiry, pitches matching new launch
3
Interest Detected
10% respond positively → directly books site visit
4
🔀
Instant Warm Transfer
Interested lead transferred live to city sales specialist
5
💬
WhatsApp Drip
Non-responsive leads: property brochure + price list + video over 7 days
WhatsApp: Property brochure + floor plans + price list
Email to Sales Agent: Full lead summary + qualification notes
SMS to Lead: Site visit confirmation + venue directions
Calendar: Auto-blocked in sales agent's Google Calendar
Zoho CRM: Lead stage auto-updated after every interaction
Business Impact — First 60 Days
<90s
New lead response time (was 4–8 hrs)
99% faster
1,200
Site visits booked in first 30 days from cold database
10% of 12K calls
72%
Telecaller time freed — redirected to high-intent closures
3.2× output per agent
₹2.1Cr
Revenue attributed to reactivated database in 60 days
from ₹0 (idle data)
"

We had 80,000 leads sitting in our CRM that we thought were dead. FawksAI ran personalised outbound calls on all of them in two weeks — the AI knew each lead's history, budget and city preference. 10% converted to site visits. That's 8,000 site visits we got for practically nothing. Our telecallers now only close — they never qualify anymore.

Rohan Mehta
VP Sales, NestConnect Realty · Mumbai
Healthcare · Clinic Chain

How HealthFirst Clinics Cut No-Shows by 62% and Freed 3× Receptionist Capacity With AI

A chain of 14 multispeciality clinics across Mumbai and Pune was losing ₹4–6 lakhs monthly to no-shows and last-minute cancellations. Receptionists spent 4+ hours daily on appointment reminders, leaving patients on hold and new bookings unattended.

62%
No-Show
Reduction
₹5.2L
Monthly Revenue
Recovered
Receptionist
Capacity
Company Profile
Company
HealthFirst Clinics
Locations
14 clinics across Mumbai & Pune
Daily Appointments
850–1,100
Specialities
General, Ortho, Cardio, Paeds, Derma, Gynae
Previous No-Show Rate
26% (industry avg: 20%)
Languages
Hindi, Marathi, English
The Problem
26% no-show rate costing ₹4–6L/month in idle doctor slots
Receptionists manually calling 200+ patients/day for reminders — 4 hours of daily effort per clinic
No post-consultation follow-up — patients not reminded about prescriptions, follow-up visits, lab reports
Cancellations not backfilled — cancelled slots sat empty because no waitlist calling system existed
Deployed Workflow
1
📅
Appointment Booked
HMS triggers FawksAI via webhook on new booking
2
📲
Reminder Call D-1
AI calls 24hr before — confirms, shares pre-visit instructions
3
2hr Reminder
Final reminder + clinic address + doctor name in local language
4
🔄
Cancellation Handling
Reschedule offered or slot opened for waitlist patient
5
💊
Post-Visit Follow-up
Day 3: Prescription reminder. Day 14: Follow-up visit nudge
WhatsApp: Clinic address, doctor name, pre-visit checklist
SMS: Appointment confirmation with slot time
Outbound: Waitlist patient called when cancellation detected
HMS Integration: Slot status updated in real time
Results — 90 Days Post Go-Live
62%
Reduction in no-show rate (26% → 10%)
Best in clinic chain history
₹5.2L
Monthly revenue recovered from filled slots
14× ROI on FawksAI cost
4 hrs
Daily receptionist time saved per clinic
Redeployed to patient care
88%
Patient satisfaction score
from 71%
"

Our receptionists were burnt out calling patients all day. Now FawksAI does all reminders in Hindi and Marathi — patients actually prefer it because it's instant, accurate and available at 8 PM. Our no-show rate is now better than the national average and we've recovered a full doctor's worth of revenue every month.

Dr. Priya Nair
Medical Director, HealthFirst Clinics · Mumbai
D2C / E-Commerce · Skincare Brand

GlowNatural Recovered 34% of Abandoned Carts and Slashed RTO by 22% With FawksAI

A fast-growing direct-to-consumer skincare brand doing ₹3Cr/month GMV was haemorrhaging revenue to cart abandonment (68%) and Cash-on-Delivery return-to-origin losses. Their 6-person support team was overwhelmed and post-purchase experience was broken.

34%
Cart Recovery
Rate
22%
RTO
Reduction
28×
Month-1
ROI
Company Profile
Brand
GlowNatural Skincare
Monthly GMV
₹3Cr (Shopify + Website)
Cart Abandonment
68% (industry avg: 70%)
COD Orders
54% of all orders
RTO Rate
18% (was costing ₹22L/month)
Channels
Shopify, Meta Ads, Instagram, WhatsApp
The Problem
68% cart abandonment — ₹2Cr+ in potential revenue walking away monthly with no recovery system
18% RTO on COD orders — customers not available, refused delivery, or changed mind — ₹22L/month in losses
No post-delivery review collection — only 0.8% of customers left reviews; social proof was thin
Support team flooded with order status calls — 6 agents handling 300+ queries/day manually
Three Deployed Workflows

Workflow A — Abandoned Cart Recovery (triggers 15 mins post-abandonment)

1
🛒
Cart Abandoned
Shopify webhook → FawksAI triggered after 15 mins
2
📞
Personalised Call
AI references exact products abandoned + offers 12% discount
3
💬
WhatsApp Link
Payment link with pre-applied discount code sent instantly
4
Order Placed
34% conversion — link expires in 20 mins creating urgency

Workflow B — COD Confirmation (reduces RTO)

1
📦
COD Order Placed
FawksAI auto-calls within 10 mins of order placement
2
🎙️
AI Confirms Intent
"Confirm your order for Vitamin C Serum at ₹849 COD?" — verified intent reduces impulsive cancellations
3
🏷️
Upsell Opportunity
AI offers complementary product at 20% off — 11% take it
4
📲
Dispatch Update
WhatsApp: Tracking link + expected delivery date
WhatsApp: Abandoned cart link with 20-min expiry
SMS: Order confirmation + tracking link on dispatch
WhatsApp D+7: Review request with incentive
Shopify: Order tags updated (confirmed / upsold / cart-recovered)
Impact at Month 3
34%
Cart recovery rate (was 0%)
₹68L additional monthly GMV
22%
RTO reduction on COD orders
₹4.8L/month saved in returns
11%
COD-to-prepaid conversion via upsell call
Improves cash flow, reduces RTO risk
6.2%
Review collection rate (was 0.8%)
400+ new reviews in 90 days
"

The cart recovery alone paid for FawksAI 28 times over in the first month. The AI calls within 15 minutes, mentions exactly what the customer left behind, and offers a discount — it's so personalised that customers think a real person is calling. And the COD confirmation cut our returns dramatically. This is now a non-negotiable part of our growth stack.

Sneha Desai
Founder & CEO, GlowNatural Skincare · Delhi
BFSI · NBFC Collections

How QuickCapital NBFC Reduced Loan Defaults by 41% and Saved ₹8L/Month in Collection Costs

A mid-sized NBFC in Hyderabad with a ₹420Cr AUM portfolio was spending ₹8L/month on a 35-person collections team. Despite the spend, EMI default rates remained high, escalation calls weren't reaching borrowers, and compliance documentation was inconsistent.

41%
Default Rate
Reduction
₹8L
Monthly Cost
Savings
100%
Audit Trail
Coverage
Company Profile
Company
QuickCapital Finance (NBFC)
AUM
₹420 Crore
Active Borrowers
28,000
Products
Personal Loans, SME Loans, Vehicle Finance
EMI Default Rate (Pre)
9.2% (industry avg: 6%)
Languages
Telugu, Hindi, English
The Problem
Reminders only sent 1 day before EMI — not enough lead time; borrowers already committed funds elsewhere
Collection agents calling from personal numbers — borrowers not picking up unknown numbers; 60% pickup rate
No consistent compliance script — RBI audit found irregular collection practices; risk of regulatory action
Loan disbursement notification was manual — 2–4 hour delay between disbursal and customer notification
Deployed Workflow — EMI Collections + Disbursement
1
📅
D-7 Reminder
AI calls 7 days before EMI — friendly reminder with payment link
2
D-1 Final Reminder
Firm reminder with amount, UPI link + NEFT details
3
⚠️
Overdue Escalation
D+3: Firm compliance-scripted call per RBI guidelines
4
🤝
Repayment Plan
AI offers restructuring options; captures commitment for agent follow-up
5
📋
Full Audit Log
Call transcript, timestamp, outcome auto-logged for compliance
SMS: UPI payment link + bank details on every reminder
WhatsApp: Statement of account + payment receipt on confirmation
Warm Transfer: D+10 cases escalated to senior collection agent
Full transcript + outcome stored per RBI audit requirements
Results at Month 4
41%
EMI default rate reduction (9.2% → 5.4%)
Below industry average
₹8L
Monthly collections team cost saved
Team redeployed to growth
88%
Call pickup rate (was 60%)
Branded caller ID builds trust
100%
RBI-compliant audit trail
Zero compliance flags in last audit
"

Before FawksAI, our collection agents were calling borrowers from random numbers and getting ignored. Now every call goes out from a recognised QuickCapital number in Telugu or Hindi, the AI gives 7-day advance notice, and our default rate is now below industry average. The RBI audit compliance piece alone made this worth it — every call is logged and timestamped.

K. Venkata Rao
Chief Risk Officer, QuickCapital Finance · Hyderabad
HR & Recruitment · Staffing Agency

TalentBridge Screens 10× More Candidates Daily and Cuts Time-to-Place from 12 Days to 2

A Gurugram-based IT staffing agency placing 200–300 candidates monthly across Fortune 500 clients was bottlenecked by manual phone screening. Recruiters spent 6+ hours daily on calls that 70% of candidates failed — burning time and missing SLA deadlines with enterprise clients.

10×
Screening
Volume
2 days
Time-to-Place
(was 12)
70%
Recruiter Time
Saved
Company Profile
Company
TalentBridge Staffing
Specialisation
IT, Engineering & Analytics roles
Monthly Placements
200–300 candidates
Daily Screening Need
250–400 candidates
Recruiter Team
22 recruiters
Key Clients
Tier-1 IT firms, GCCs, Fintechs
The Problem
22 recruiters screening 300+ candidates/day by phone — 6hrs of screening per recruiter daily for 70% rejection rate
12-day average time-to-place — enterprise clients threatening to move to competitors offering faster SLAs
Inconsistent screening questions — different recruiters asking different things, making shortlist quality unpredictable
Interview no-shows at 28% — candidates not confirmed properly, losing client slots and revenue
Full Recruitment Workflow
1
📄
CV Shortlisted
ATS triggers FawksAI on CV shortlist — AI calls within 2 hours
2
🎙️
AI Screening Call
Structured 8-min call: CTC, notice period, skills, location, availability
3
🏷️
Auto-Scoring
Candidate scored 0–100 against JD criteria; tagged Fit / Maybe / Reject
4
📅
Interview Scheduled
"Fit" candidates: AI books interview slot, sends Zoom link, adds to calendar
5
👤
Recruiter Briefed
Full screening summary + score emailed to recruiter before interview
Email to Recruiter: Screening transcript + score + recommendation
WhatsApp to Candidate: Interview confirmation + JD + prep tips
Calendar: Zoom link + client panel invite auto-sent
SMS D-1: Interview reminder to candidate + location/Zoom link
Results — 60 Days Post Deployment
2,800
Candidates screened/day (was 280)
10× capacity with same team
2 days
Average time-to-place (was 12 days)
6× faster SLA
6%
Interview no-show rate (was 28%)
5× improvement
₹42L
Additional placement revenue in 60 days
From SLA-critical enterprise clients
"

My recruiters used to do nothing but screening calls — 6 hours a day. Now they only speak to the top 15% of candidates that FawksAI has already scored and confirmed. We went from 12-day placements to 2-day placements. Two enterprise clients renewed contracts specifically because of our new SLA. This is the single biggest operational improvement we've ever made.

Nisha Agarwal
Managing Director, TalentBridge Staffing · Gurugram
Logistics · Last-Mile Delivery

How SwiftDeliver Achieved 89% First-Attempt Delivery and Cut NDR Losses by ₹18L/Month

A last-mile logistics company handling 45,000 shipments/day for 300+ D2C and e-commerce clients was facing a 22% Non-Delivery Report (NDR) rate — customers unreachable, wrong addresses, refused delivery. Each NDR cost ₹80–120 in re-delivery and storage fees.

89%
First-Attempt
Delivery Rate
₹18L
Monthly NDR
Savings
22%
NDR Rate
Reduced to 5%
Company Profile
Company
SwiftDeliver Logistics
Daily Shipments
45,000
Coverage
1,200+ pin codes across India
Merchant Clients
300+ D2C & e-commerce brands
Pre-FawksAI NDR
22% (9,900 failed deliveries/day)
NDR Cost
₹80–120 per failed delivery
The Problem
22% NDR rate — 9,900 failed deliveries daily at ₹80–120 each = ₹18L+ in daily losses
Customers not home, or at alternate address — no proactive pre-delivery confirmation call
No rescheduling system — customers calling support to reschedule had 12-min average wait times
Merchant clients threatening SLA penalties — contract clauses triggering if delivery rate fell below 85%
Deployed Workflow — Pre-Delivery + NDR Resolution
1
🚛
Out for Delivery
Shipment scanned OFD → FawksAI auto-calls customer
2
📲
Availability Check
AI confirms customer available at address during 2hr delivery window
3
🔄
Instant Reschedule
If unavailable: AI offers tomorrow slots or nearest pickup point
4
🗺️
Address Fix
Wrong address? AI captures correct landmark, updates delivery partner in real time
5
POD + Feedback
Post-delivery: WhatsApp delivery confirmation + 1-question CSAT
WhatsApp: "Your package is arriving in 2 hrs" with tracking link
SMS to Merchant: NDR attempt + reason code + next action
WhatsApp: Delivery confirmation + invoice on successful delivery
WMS Update: Reschedule / address change pushed to delivery app in real time
Impact at Month 2
89%
First-attempt delivery rate (was 78%)
Above all merchant SLA thresholds
5%
NDR rate (was 22%)
₹18L/month in avoided costs
12 min
Support wait time dropped to 0
AI handles rescheduling instantly
4.6★
Customer satisfaction score
from 3.1★
"

Our NDR rate was killing our margins. Every failed delivery cost us ₹100 and a client complaint. FawksAI now calls every customer before the delivery window — confirms they're home, fixes address issues, and offers rescheduling. In 2 months we went from 22% NDR to 5%. That's ₹18 lakhs every month straight back to our bottom line.

Rajesh Pillai
COO, SwiftDeliver Logistics · Bengaluru
Testimonials

MSMEs & Startups Love FawksAI

From first deployment to full scale — here's what founders and operators are saying.

"We were spending ₹3L/month on tele-callers for appointment reminders. FawksAI does the same job for under ₹30K and our no-show rate dropped by 60%. The Hindi voice is so natural, patients don't even realise it's AI."

RK
Dr. Rakesh Kumar
Founder, HealthFirst Clinics · Mumbai

"Our sales team was losing 70% of leads because no one called back fast enough. FawksAI calls within 5 minutes of a sign-up and books qualified meetings straight into our calendar. Pipeline doubled in 6 weeks."

AP
Anika Patel
Co-Founder, PropNest Realty · Bengaluru

"As a startup we can't afford a 20-person call centre. FawksAI gave us enterprise-grade call automation at a price that made sense. We screen 300 candidates a day now — our recruiters only talk to shortlisted ones."

VR
Vikram Rao
CEO, TalentBridge Staffing · Hyderabad
Frequently Asked Questions

Everything You Need to Know About FawksAI

Answers to the most common questions from businesses evaluating AI voice agents.

What is an AI voice agent and how is it different from a chatbot?

An AI voice agent makes and receives actual phone calls, speaking and listening in real time just like a human agent. Unlike a chatbot (which handles text), a voice agent operates on voice channels — calling your customers, answering inbound calls, and completing transactions verbally. FawksAI voice agents process speech in under 600ms with no perceivable lag, handling complex multi-turn conversations in 40+ languages.

How does FawksAI work?

FawksAI works in three steps: (1) Configure — upload your knowledge base, call script, and pick a voice in under 30 minutes. (2) Connect — link your phone number, CRM (Zoho, HubSpot, Salesforce), and WhatsApp via API or no-code integration. (3) Deploy — the AI agent handles live calls 24/7, logs every interaction to your CRM, and triggers automated follow-ups via WhatsApp, SMS, or email. You monitor everything from a real-time analytics dashboard.

What use cases can FawksAI automate?

FawksAI is deployed for: inbound customer support and FAQ answering, outbound lead qualification and follow-up calls, appointment reminders and rescheduling (healthcare, salons, clinics), EMI and loan payment reminders (BFSI/NBFCs), candidate pre-screening for recruitment, order confirmation and delivery coordination, abandoned cart recovery for D2C brands, and database reactivation for sales teams. Any repetitive phone-based task can be automated.

What languages does FawksAI support?

FawksAI supports 40+ languages including Hindi, Hinglish, Marathi, Telugu, Tamil, Bengali, Kannada, Malayalam, Gujarati, Punjabi, English, Arabic, Spanish, French, German, Portuguese, Dutch, Italian, Japanese, Mandarin, and more. Unlike translation-based systems, FawksAI uses native language models trained per dialect — so Hindi conversations sound naturally Hindi, not translated English.

How much does FawksAI cost?

FawksAI has a free plan with 10 minutes to test with no credit card required. Paid plans start at ₹2,499/month (€29) for 200 minutes. The Pro plan at ₹9,999/month (€119) includes 900 minutes and 6 concurrent calls. Business plans at ₹24,999/month (€300) include 3,000 minutes. Custom and Enterprise pricing is available for high-volume or white-label requirements. All plans include CRM integrations, analytics, and WhatsApp automation.

How long does setup take?

Basic use cases go live in under 30 minutes — configure the agent, connect your number, and it's live. More complex deployments (custom CRM integrations, multi-language agents, enterprise compliance requirements) typically take 1–3 weeks with dedicated support from FawksAI's implementation team. Vidyasetu University with 1.5 lakh students went live in 18 days.

Is FawksAI compliant with GDPR and Indian data laws?

Yes. FawksAI is fully GDPR compliant, aligned with India's DPDP Act 2023, EU AI Act compliant, and follows RBI guidelines for financial communications. All calls are encrypted in transit and at rest (AES-256). Data residency is available for EU (eu.api.fawks.ai) and India/Asia (in.api.fawks.ai) separately to meet regional data sovereignty requirements.

Can FawksAI transfer calls to a human agent?

Yes — FawksAI supports warm transfer with context whisper. When a caller needs human assistance, the AI informs the caller, dials the agent, and whispers a summary of the conversation before connecting. The human agent receives the full context without the customer having to repeat themselves. This hybrid approach means AI handles volume while humans handle complexity.