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  • VoiceGenie + Zapier Integration: How to Build No-Code Workflows

    Zapier Integration allows you to connect VoiceGenie with thousands of apps to automate workflows without writing any code. You can handle repetitive tasks—like logging call data, scheduling meetings, or sending AI responses—automatically.

    This guide is for:

    • Founders, marketers, or sales teams using VoiceGenie
    • Anyone looking to reduce manual work with simple automation
    • Users seeking a reliable, no-code setup

    We’ll cover everything from the basics of Zapier to setting up advanced use cases with apps like GHL, HubSpot, ElevenLabs, and Cal.

    What is Zapier Integration?

    Zapier is a no-code automation tool that connects apps through simple logic: When X happens, do Y.

    Each workflow, called a Zap, contains:

    • A Trigger (e.g., “VoiceGenie call completed”)
    • One or more Actions (e.g., “Create contact in HubSpot” or “Send AI message via ElevenLabs”)

    Example Zap:

    VoiceGenie call ends → Add contact in HubSpot → Send alert via Gmail

    With over 5,000 integrations available, you can easily connect VoiceGenie to CRMs, schedulers, messaging tools, and more—all without needing a developer.

    Is Zapier an API Integration?

    Yes, Zapier is an API-powered platform, but the beauty lies in its simplicity. You don’t need to understand or manage any API code.

    Instead, Zapier gives you a visual editor where you:

    • Choose apps
    • Set up conditions
    • Map fields
    • And automate data transfers

    It’s like building an API bridge between VoiceGenie and apps like Cal or ElevenLabs, but with zero coding.

    Use Zapier as a middleware between your voice workflows and your business tools.

    What is Zapier Mostly Used For?

    Zapier is widely used for:

    • CRM Automation: Sync call logs and transcripts from VoiceGenie to HubSpot or GHL
    • Follow-up Messages: Use ElevenLabs to send custom audio messages post-call
    • Scheduling Calls: Auto-schedule callbacks in Cal when a call fails
    • Real-time Alerts: Notify your team via Gmail or Slack when high-intent leads call

    These automations free up your team, reduce response times, and make your communication stack smarter.

    What Kind of Tool is Zapier?

    Zapier is a cloud-based automation platform that works via APIs, unlike traditional RPA (robotic process automation) tools that mimic user behavior on screen.

    Key Benefits:

    • Cloud-native and lightweight
    • Built for scale, ideal for startups to enterprises
    • Perfect for voice-based workflows (like those in VoiceGenie)

    Zapier is trusted by product-led teams that need to move fast without waiting for dev resources.

    Does Zapier Require Coding?

    No, Zapier doesn’t require coding. It’s 100% no-code friendly.

    You can:

    • Drag and drop logic
    • Set up rules and filters
    • Map fields from VoiceGenie to other platforms

    For advanced use cases, Zapier supports JavaScript (Node.js) through Code by Zapier—but most workflows don’t need it.

    Who Uses Zapier?

    Zapier is used by:

    • Sales Teams: Automate call logging, lead follow-up, and CRM updates
    • Marketing Teams: Trigger AI messaging with ElevenLabs based on VoiceGenie call outcomes
    • Customer Success Teams: Schedule follow-up calls with Cal and notify reps about urgent leads
    • Agencies & Startups: Automate tasks without hiring devs

    No matter your size, Zapier adapts to your workflow and makes VoiceGenie more powerful.

    Is Zapier an ETL Tool?

    Not exactly. Zapier isn’t designed for bulk data jobs like traditional ETL (Extract, Transform, Load) tools such as Airbyte or Make.

    Instead, it excels at real-time, event-based automation, such as:

    • Logging individual VoiceGenie calls into Google Sheets
    • Syncing new leads to your CRM immediately
    • Sending personalized responses based on call transcripts

    Use Zapier when speed and automation are more important than data warehousing.

    5 Things to Automate with Zapier Integration

    Here are five must-use automations for VoiceGenie users:

    1. VoiceGenie → GHL CRM

    • Create or update contacts automatically after a call
    • Tag leads based on call outcome

    2. VoiceGenie → HubSpot

    • Log call notes, transcripts, and assign lifecycle stage
    • Add contacts to nurturing workflows

    3. VoiceGenie → ElevenLabs

    • Generate voice follow-up messages with ElevenLabs
    • Send audio or text responses based on sentiment

    4. VoiceGenie → Cal

    • Schedule follow-ups in Cal when a lead misses the call
    • Offer callback options without manual effort

    5. VoiceGenie → Gmail or Slack

    • Instantly notify teams when a high-intent call comes in
    • Trigger alerts based on keyword detection in transcripts

    Setting Up Your First Zap (Step-by-Step)

    Here’s a quick guide to setting up your first VoiceGenie Zap:

    Step 1: Log into Zapier

    Click “Create Zap”

    Step 2: Choose VoiceGenie as the Trigger

    Trigger Event: Call Completed / Lead Qualified / Call Missed

    Step 3: Add an Action App

    Pick your destination:

    • GHL – Create or update contact
    • HubSpot – Create new deal
    • ElevenLabs – Generate AI message
    • Cal – Auto-schedule a meeting

    Step 4: Map Fields

    • Map Caller Name → CRM Name
    • Map Call Transcript → Notes
    • Map Outcome → Lifecycle Stage

    Step 5: Test & Launch

    • Run a test
    • Check field mapping
    • Turn your Zap ON

    Tip: Label your Zap clearly—e.g., “VG ➝ HubSpot Lead Log”

    Real-World Use Cases

    CRM Logging (GHL/HubSpot)

    Instantly log all VoiceGenie call data into your CRM. Never lose another lead or forget a follow-up.

    Voice AI Messaging (ElevenLabs)

    Use ElevenLabs to send personalized, AI-generated voice or text messages based on call results.

    Auto-Scheduling (Cal)

    When a lead misses your VoiceGenie call, automatically send a calendar link via Cal for a callback.

    Tips to Optimize Your Zapier Workflows

    • Use Filters to trigger only when leads meet certain conditions
    • Group your Zaps using folders (e.g., Sales, Marketing, Support)
    • Use Path by Zapier for multi-step workflows
    • Name your Zaps consistently for team clarity
    • Regularly review Zap runs to optimize task usage

    Frequently Asked Questions

    What coding language does Zapier use?
    Zapier supports JavaScript (Node.js) in its code step, but it’s optional.

    Is Zapier an RPA tool?
    No, it’s an API-first automation platform—not a screen-recording RPA tool.

    How many apps does Zapier support?
    Over 5,000+ integrations, including VoiceGenie, HubSpot, GHL, Cal, and ElevenLabs.

    How to integrate Gravity Forms with Zapier?
    Use the official Zapier Gravity Forms Add-on and set Gravity Forms as the trigger.

    How do I connect VoiceGenie to Zapier?
    Log into Zapier, select VoiceGenie as the trigger app, authenticate your account, and start building your Zaps.

    Final Thoughts

    Zapier Integration unlocks the true potential of your VoiceGenie workflows. With plug-and-play connectivity to apps like GHL, HubSpot, ElevenLabs, and Cal—you can build advanced workflows in minutes.

    Whether you’re automating lead flow, sending personalized responses, or scheduling callbacks, Zapier makes it frictionless.

    👉 Start Building Your First Zap With VoiceGenie Now

  • Top 10 Proven Cold Calling Scripts for AI Voice Agents (With Templates)

    Cold calling scripts are the backbone of successful AI-driven sales outreach. Whether you’re generating leads, re-engaging prospects, or upselling clients, cold calling scripts give your AI voice agent the power to sound human, persuasive, and outcome-focused.

    In this guide, we’ll break down the best cold calling script templates, explain how AI cold calling works, and give you ready-to-use examples tailored for real sales goals.

    Get ready to boost response rates with the best cold calling scripts and tips to make every AI call matter.

    What is AI Cold Calling?

    AI cold calling is the use of artificial intelligence voice agents to make outbound sales calls. Instead of a human rep dialling each lead, an AI voice bot handles conversations using pre-trained cold calling scripts.

    These AI agents sound natural, personalize messages, and handle objections—all while automating 1000+ calls daily.

    Why use AI for cold calls?

    • Automates repetitive tasks
    • Personalizes at scale
    • Qualifies leads 24/7
    • Saves sales teams 80% of effort

    VoiceGenie.ai, for example, powers AI voice agents that deliver cold calling scripts across industries—booking meetings, generating leads, and following up—without missing a beat.

    What is a Good Voicemail Script for a Cold Call?

    Leaving the perfect voicemail is key to increasing callback rates. Many leads won’t answer on the first call, so your voicemail should spark curiosity and drive action.

    ✔ Sample Cold Calling Script for Voicemail:

    “Hey [First Name], this is Alex from [Company]. I help [role] solve [pain point] using [solution]. I’ll follow up by email, but feel free to call back at [phone number]. Looking forward to connecting.”

    Why this works:

    • It’s short and respectful of time
    • Clearly mentions the benefit
    • Offers two ways to respond

    What Are the 3 C’s of Cold Calling?

    To make cold calling scripts work, remember the 3 C’s:

    • Clarity – Be concise and clear on your value.
    • Confidence – Use assertive, positive language.
    • Curiosity – Spark interest without overselling.

    When your AI agent follows these principles, your scripts convert more leads into conversations.

    How to Use AI in Voice Calls?

    AI voice agents use a combination of voice tech, CRM integration, and cold calling scripts to sound human while performing complex actions.

    Here’s how to use AI for voice calls:

    • Input a list of prospects or sync your CRM
    • Upload or select your cold calling script
    • Customize for pain points, industry, or time zones

    Let the AI place real-time outbound calls

    Platforms like VoiceGenie make this seamless. You can automate 5,000+ daily calls, track responses, and then take actions based on responses.

    Want to learn how AI voice bots work? See this guide

    Best Way to Write a Cold Call Script

    Here’s a quick formula:

    [Introduction] + [Pain Point] + [Solution] + [CTA]

    Example Cold Calling Script:

    “Hi [Name], this is Priya from VoiceGenie. We help B2B team’s book 40% more meetings using AI voice bots. Is that something your team is exploring right now?”

    It works because:

    • It introduces a clear benefit
    • Doesn’t oversell
    • Ends with a soft ask

    Best AI Cold Calling Scripts

    These cold calling scripts are created for different sales stages. Use them with AI agents like VoiceGenie.ai for real-time engagement.

    Intro Call Cold Calling Scripts

    Script #1 – Industry Value Hook:

    “Hi [Name], this is [Agent] with [Company]. We help [industry] solve [problem] using [solution]. Do you have 10 minutes this week to discuss?”

    Script #2 – Problem-First Opener:

    “Hey [Name], curious—are you still dealing with [pain point]? We’ve helped teams like yours fix it fast. Open to a quick demo?”

    Use these in your AI system and A/B test with conversation analytics tools.

    Follow-Up Cold Calling Scripts

    Purpose: Reconnect after email or missed calls.

    Script #3:

    “Hi [Name], I wanted to follow up on the email I sent about [value]. We’re helping companies like yours see results—should I resend it or set up a time?”

    Script #4 – Reminder Style:

    “Just circling back from last week. Many clients like you found this helpful—want me to show you how it could work for your team?”

    More proven Follow-Up Scripts That Convert.

    Re-Engagement Cold Calling Scripts

    Purpose: Revive cold or old leads.

    Script #5:

    “Hi [Name], it’s been a while! We’ve recently launched updates that solve [past concern]. Would love to show you what’s new.”

    Script #6 – Time-Based Offer:

    “Hey [Name], we’re running a limited-time pilot for [use case]. Thought it’d be a great fit—want details?”

    VoiceGenie offers templates that will help you to set you up Voice AI Agents for your business.


    Upselling Cold Calling Scripts

    Goal: Sell additional features or plans.

    Template #7:

    “Hi [Name], based on your recent use of [product], we found an upgrade that saves time and improves [result]. Want a quick walkthrough?”

    Template #8 (Data-driven):

    “Just checked your usage data—we think [feature] could cut your team’s workflow by 30%. Can we walk you through it?”

    Want tips to upsell without sounding pushy? See this guide

    Downloadable Cold Calling Script Pack (PDF)

    Need ready-to-use cold calling scripts?

    • Get the full editable script pack
    • Includes intro, upsell, follow-up, voicemail, and objection-handling templates
    • Google Doc version included for team edits

    Download Your Cold Calling Script PDF Now

    Also available: Sales call script examples PDF and AI-powered script templates.

    VoiceGenie.ai: Powering AI Cold Calling

    AI Cold Calling Scripts

    VoiceGenie.ai lets you automate cold calling using intelligent voice agents. Just plug in your cold calling scripts, and the platform handles:

    • Real-time voice conversations
    • Smart objection handling
    • Call scheduling
    • Lead qualification
    • CRM and webhook integration

    It supports multiple industries and over 20 languages, making it perfect for both small teams and large outbound sales ops.

    👉 Learn more about Voicegenie feature here

    FAQs on Cold Calling Scripts

    What do cold callers say?

    They introduce themselves, address a problem, offer a solution, and invite the lead to a call/demo.

    What is the best line for cold calling?

    “Can I steal 30 seconds to explain why I’m calling?”
    This earns permission and keeps things concise.

    How to win a client in 30 seconds?

    • Hook them with pain point
    • Share a quick win
    • Give a reason to stay on the call

    What is zero cold calling?

    It’s a method where all calls are warm leads—generated from inbound or pre-qualified sources. AI voice agents can handle the rest.

    How to cold call like a pro?

    Use short, sharp cold calling scripts, be human (even with AI), and test regularly. VoiceGenie’s analytics help you do that at scale.

    Final Thoughts

    Having the right cold calling scripts is your best weapon for outbound success—especially with AI doing the talking.

    This guide gives you everything:

    • Proven scripts for every stage
    • A free downloadable pack
    • AI tips and tools
    • VoiceGenie.ai insights to scale your success

    Use these templates, personalize for your audience, and let your AI agent start booking real conversations today.

    👉 Try VoiceGenie.ai Free

    You can also find other companies polyai, working on the same scripts.

  • PolyAI Review 2025 – Exceptional Voice-First AI Analysis

    PolyAI Review 2025: Your Complete Guide to Voice – First Conversational AI

    Imagine dialing your bank, hotel, or airline—and hearing a voice so human you can’t tell it’s AI. This isn’t sci-fi—it’s PolyAI. Since its 2017 launch by Cambridge researchers, PolyAI has rapidly become the go-to voice-first conversational AI for enterprises. 

    With lifelike agents that handle interruptions, switch between 10–45 languages, and resolve up to 90% of calls, the platform automates tasks traditionally handled by human agents—booking, billing, troubleshooting—and reduces wait times and costs across industries.

    What makes PolyAI truly stand out isn’t just voice realism—it’s the blend of cutting-edge LLMs (like ConveRT and ConVEx), deep integrations, enterprise-grade security, and analytics. This blog dives deep into every layer of PolyAI’s offering—from core architecture to real-world outcomes, strengths, limitations, and how it compares to alternatives. 

    Whether you’re a technical architect, CX leader, or curious reader, you’ll come away with a clear understanding of where PolyAI shines—and when another solution might be a better fit.

    Ready to explore what makes PolyAI tick—and whether it’s right for your business? Let’s get started.

    What Is PolyAI?

    Founded in 2017 by Nikola Mrkšić, Pei‑Hao Su, and Tsung‑Hsien Wen—graduates of Cambridge University’s Dialogue Systems Group— PolyAI is a London-based company specializing in voice-first conversational AI for enterprise customer service.

    Mission & Vision

    PolyAI aims to build natural, human-like voice assistants that can handle interruptions, context changes, and multilingual conversations. Their mission is to revolutionize traditional call centers by automating complex customer interactions while maintaining the warmth and intelligence of a human agent .

    Funding & Growth

    • Series A (2019): €10.7 M
    • Series B (2022): $40 M
    • Series C (2024): $50 M (led by Nvidia’s NVentures, Hedosophia)
    • Valuation (2024): Nearly $500 M

    Today, PolyAI serves industries like banking, travel, healthcare, hospitality, and telecom, with prestigious clients like Marriott, Caesars, and FedEx.

    Core Features & Technical Architecture

    Conversational Fluency & Voice Quality

    PolyAI uses advanced speech technologies—ASR (automatic speech recognition), LLMs, and TTS (text-to-speech)—to emulate human conversation. Users can interrupt, ask sensitive or unscripted questions, and the assistant adapts naturally.

    Multi-Turn Dialogue & Context

    Built for complex dialogues, PolyAI can handle extended interactions. It maintains a context window (~4–6 dialogue turns), though highly complex context chains may strain short-term memory.

    ConveRT & ConVEx: The LLM Backbone

    PolyAI uses ConveRT, a lightweight Transformer optimized for conversation, and ConVEx, a value-extraction model built atop it:

    • ConveRT delivers robust dialogue understanding with small resource requirements, outperforming larger models on conversational tasks .
    • ConVEx excels at slot/value extraction and is data efficient, achieving high accuracy with limited training examples.

    Multilingual & Accent Handling

    Out of the box, PolyAI supports around 12 major languages, with custom models extending support to 45+ languages—including Spanish, German, Polish, Swedish—and handles accents and dialects elegantly .

    Integrations & Deployment

    PolyAI is built for enterprise ecosystems—connect via SIP/PSTN and integrate with CRMs, billing platforms, order systems, etc. Deployment timelines average 4–6 weeks from POC to live deployment .

    Analytics & Insights

    The platform features a real-time dashboard with call volume metrics, resolution rates, and “hot issue” spotting. While functional, analytics remain basic—no real-time sentiment analysis or deep funnel breakdowns.

    Security & Compliance

    With enterprise-grade security, including ISO-level standards and 24/7 support, PolyAI meets strict data governance requirements, making it suitable for banking and healthcare.

    Scalability & Latency

    PolyAI handles 50–75% of call volume autonomously. However, response latency (~800 ms) is higher compared to competitors (<500 ms), which may slightly impact conversational smoothness.

    Real-World Use Cases & Outcomes

    PolyAI has delivered tangible ROI across industries:

    • Hospitality: Golden Nugget automated 34% of inbound hotel calls, recording 3,000 bookings (~$600K/month).
    • Restaurants: Big Table Group handled over 3,800 reservations/month, adding ~$140K revenue .
    • Insurance & Banking: Atos saved the equivalent of 95 FTEs and improved efficiency by 30% .

    Example metrics from PolyAI:

    • CSAT improvement: +15 points
    • Revenue uplift: $7.2 M for a health insurer
    • Cut seasonal hiring costs by 60%.

    Pros & Cons Breakdown

    Strengths

    • Human-like voice
    • Multilingual support
    • Robust security & compliance: ideal for regulated sectors
    • Scalable handling: supports voice-first automation at scale.

    Limitations

    • Memory limits: struggles to recall details beyond 4–6 dialogue turns 
    • High Latency
    • Analytics are basic: lacks sentiment and path-level UX reporting
    • Pricing transparency: enterprise-only, custom contracts only
    • No sandbox/test environment: needs engineering resources for QA
    • Lacks in features compared to other newer AI Voice Agent platforms

    Technical Deep Dive

    Model Architecture

    • ConveRT: compact dual-encoder model designed for intent/dialog representation, trained on billions of conversational examples—small, efficient, and top-performing on task-oriented conversations.
    • ConVEx: specialized for slot/value extraction, pre-trained via pairwise cloze tasks for robust few-shot performance.

    This layered design ensures fast inference and high accuracy without the heavyweight resource demands of BERT or GPT.

    Speech Pipeline

    • ASR: Speech turned into text
    • NLU via ConveRT: Intent & context comprehension
    • Slot Extraction via ConVEx
    • Dialogue Manager: Chooses next action
    • TTS: Generates the human-like voice response

    Scalability & Latency

    Two key metrics:

    • Concurrency & volume: Efficient for high call volumes
    • Latency (~800 ms): Functional, but not best-in-class

    Data & Compliance

    Trained on large conversational datasets—Reddit, Amazon QA, OpenSubtitles—then fine-tuned for industry-specific use cases.

    Who Should (and Shouldn’t) Use PolyAI

    Ideal for:

    • Enterprises needing voice-first AI at scale
    • Businesses requiring global multilingual support
    • Regulated industries seeking secure, compliant solutions
    • Teams with engineering capacity for integration

    Caution for:

    • SMBs or startups on tight budgets
    • Use cases requiring low-latency (<500 ms) interactions
    • Teams lacking resources for quality testing
    • Companies seeking transparent, per-minute pricing

    PolyAI vs. Alternatives

    Here are three top alternatives to PolyAI, highlighting their key features in a clear and concise list:

    1. VoiceGenie.ai

    • Purpose-built for outbound sales and inbound support: Ideal for lead qualification, meeting scheduling, support and demand generation.
    • Generative AI: Delivers dynamic, empathetic calls that “sound like a real salesperson.
    • Seamless integrations: Connects with CRMs via Webhooks/APIs and sends follow-up SMS/post-call links.
    • Voicemail detection: Avoids leaving messages on unanswered calls.
    • Multilingual & 24/7 availability: Engages diverse audiences anytime, in multiple languages (45+)
    • Best Customer Support: Support is available 24 hours and user concerns are resolved on prioirty.

    2. Synthflow AI

    • No‑code voice agent builder: Drag‑and‑drop interface requires zero programming to deploy voice assistants.
    • Extensive integrations: Pre-built connectors for HubSpot, Stripe, Zapier, SIP/CRM systems.
    • Enterprise-grade security: SOC2, HIPAA, GDPR, PCI DSS compliance.
    • Multilingual support: Works in 30+ languages with white‑label branding options.

    3. CallHippo AI Voice Agent

    • Inbound support-focus: Handles FAQs, routing, lead qualification, and call transfers effortlessly.
    • No-code setup: Launch within hours with script-based workflows.
    • CRM & analytics integration: Syncs call data and tracks performance metrics like sentiment, talk‑listen ratio.
    • Enterprise-grade compliance: HIPAA, PCI, GDPR-ready with secure conversational handling
    PlatformUse CaseKey Strength
    VoiceGenie.aiOutbound SalesHumanlike generative calls + SMS follow-up
    Synthflow AIAny Voice FlowRapid, no-code deployment + ultra-low latency
    CallHippo AIInbound HelpdeskOut-of-the-box support + analytics & compliance

    Buyer’s Guide & Implementation Tips

    • Pilot Phase: Begin with a PoC focusing on latency, memory, and integration feasibility.
    • Memory Strategy: Use manual “memory fields” to retain persistent context.
    • Define KPIs Upfront: Monitor latency, call resolution, cost per call.
    • QA Testing: Allocate time for stress tests, edge-case evaluation.
    • Integration Planning: Map out data flows—CRM, billing, call routing.
    • Team Readiness: Ensure engineering and operations teams are prepped.

    Final Verdict

    PolyAI is a top-tier solution for enterprise-level voice-first conversational AI, delivering rich language support, scalability, and compliance. It excels in real-world use, driving cost efficiency and customer satisfaction gains. However, it requires investment—for cost transparency, latency tolerance, and technical bandwidth.

    Evaluate it against clear goals: Does your team need fast and expensive deployment in multiple languages, with human‑like voice fidelity? If yes, PolyAI shines. If no switch to other platforms.

    Frequently asked Questions

    1. How many languages does PolyAI support out of the box?

    It supports around a dozen languages natively, with the ability to customize up to 45+ languages.

    2. Can PolyAI send follow-up info like links or SMS to users?

    Yes—after a call, PolyAI can automatically send links or SMS messages with relevant information.

    3. Does PolyAI require training data to understand FAQs?

    No—PolyAI can answer FAQs using a natural-language knowledge base with zero additional training.

    4. Can PolyAI verify a caller’s identity during voice interactions?

    Yes—it supports authentication by matching voice inputs with user records in your database.

    5. Is there a sandbox to test changes before going live?

    Currently, no public sandbox exists—updates must be tested in staging or production environments.

    6. How quickly can you update PolyAI’s responses?

    You can refresh its knowledge base and deploy updates within minutes.

    7. Can PolyAI keep track of previous conversations with a caller?

    It uses context windows and memory fields, but may lose track after around 4–6 dialogue turns.

    8. Does PolyAI offer real-time analytics dashboards?

    Yes—complete with live call volumes, resolution rates, and conversation filters for troubleshooting.

    9. Is PolyAI secure enough for regulated industries?

    Absolutely—it’s enterprise-grade, ISO-level compliant, and suitable for sectors like finance or healthcare.

    10. How long does it typically take to deploy?

    About 4–6 weeks from final design to full production integration.