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CASE STUDIES
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2025
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ASR Engineer
ASREngineers Website Redesign & AI Automation Workflow
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CLIENT
ASR Engineer
Visit site
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TIMELINE
1 month
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SERVICES
Website Design
AI Voice Agents
AI Automation
Custom CRM
Ai Chatbot
ASR Engineers was spending too much time handling client calls, emails, and report requests manually. Their team had to follow up with every client, collect project details, and prepare reports one by one — which slowed down their workflow and made it hard to keep up with the growing number of inquiries.
How do you handle hundreds of client inquiries, follow-ups, and report requests every week — without hiring more staff or losing response speed?
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SOLUTIONS
1) Gmail Confirmation Flow
This automation processes email confirmations.
Trigger: Incoming Gmail messages.
AI text classifier checks if the email is a confirmation or non-confirmation.
If confirmed, records are updated in Airtable and attachments are uploaded to Google Drive.
Sends auto-replies or error notifications via Gmail.
Uses looping logic to process multiple attachments or messages.
Purpose: Automatically validates confirmations from emails, updates the database, stores files, and notifies the team.
2) Twilio SMS/WhatsApp Flow
This automation handles inbound messages via Twilio.
Triggers when a message arrives.
Looks up customer details, enriches data, and uses OpenAI Chat Models for intelligent replies.
Depending on logic, it can:
Send SMS/WhatsApp responses.
Create or update rows in Airtable.
Upload files to Google Drive.
Includes custom JavaScript steps for dynamic processing and record management.
Purpose: Automates two-way WhatsApp/SMS communication while keeping CRM records up to date.
3) Initial Email Flow
This handles customer onboarding emails or WhatsApp initiation.
Trigger: New customer record created.
AI classifier decides if communication goes by WhatsApp or Email.
Uses OpenAI LLM chains to generate tailored responses.
Sends messages through Twilio (WhatsApp) or Gmail (Email).
Saves interactions into Airtable for tracking.
Purpose: Automates the first point of contact with leads/customers, making sure they get a personalized welcome via their preferred channel.
4) Call Summary Flow
This flow captures call summaries after a voice agent call ends.
Trigger: End of call webhook.
AI Agent (with memory) generates a structured summary of the call.
Records are created/updated in Airtable:
Call logs.
Customer records.
OpenAI ensures natural, context-rich summaries are stored.
Purpose: Ensures every call is logged with a smart summary for sales/support teams without manual note-taking.
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RESULTS
More Streamlined Process, More Deals
Zelu AI deployed a fully customized AI Voice Agent that interacts naturally with clients through WhatsApp and phone, answering service-related questions, capturing project details, and booking appointments directly into ASR’s system.
We also executed a complete website redesign to align with ASR’s brand and optimize lead conversion through clear calls to action and AI-integrated contact forms.
To further enhance efficiency, we built AI-driven lead generation campaigns and automated workflows that connect WhatsApp, email, and ASR’s CRM — enabling automatic report generation, review, and delivery through secure channels.
70%
Response times reduced by over
40%
More qualified leads
24/7
AI voice agent handles calls
