Steven Faith
AI Automation specialist and voice agent developer
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Most people think businesses fail because they don’t have enough customers.
But after working on automation systems, I’ve realized something deeper:
👉 Most businesses don’t have a customer problem… they have a process problem.
Let me explain.
A typical business receives leads from ads, referrals, social media, or WhatsApp.
But what happens next?
• Someone has to manually reply
• Someone has to follow up
• Someone has to update a spreadsheet
• Someone has to transfer data into a CRM
• Someone has to remember who to contact again
And this is where the problem starts.
Because humans are not built for repetitive consistency.
This is why leads get lost, responses are delayed, and opportunities disappear silently.
AI automation solves this by turning these manual processes into structured systems.
Instead of:
“Someone must do it”
It becomes:
“If this happens → the system handles it automatically”
That’s the real difference between a struggling business and a scalable one.
If you find this helpful to you business, let's talk better to map out the suitable automation for your business or tasks
Peace ✌
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Hello guys, here is how i save time for my client with AI automation using n8n, my client applying new employee to their small business.
the automation start from applicants putting down their information through "tally form" and "n8n" automatically grab the Informations from tally including their CV, Specialities, Years of experience, Main Skills, Previous experience.
And AI analyze the their responses and score them from 1-10 based on their CV, Communication skills, Experience. 1-5 is failed 6-7 is average and 8-10 is passed.
Store their CV/Resume in the "google drive" as a pdf format for the business to also confirm.
I added the applicant info to the "googlesheet" where all record of applicant are been stored
And send a message to the hiring department on "slack" with the applicant info if the Pass, Average, or Fail. and also drop the googlesheet link in the message for hiring department to check the information and make amendment if necessary.
"Email" will be sent to the applicant automatically giving them feedback on what they had just apply for, And using "HTML" to format the message so it can make sense and have a better coloring and well structured.
Tools and Software i use:
_n8n
_google drive
_chatgpt
_google sheet
_slack
gmail From manual data capturing, sending email, adding info to database, and sending email message to every applicant to a time saver leveraging on automation to perform the task. If this will be helpful let's talk better and map out automation tailored to your business or tasks Peace✌
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AI-Powered Telegram Support & Lead Routing Automation
Built an intelligent Telegram automation workflow that acts as a first-line customer support and lead qualification system.
When a user sends a message through Telegram, an AI agent automatically engages in conversation, understands the user's intent, and categorizes the request into the appropriate department such as Sales, Technical Support, Finance, HR, or General Inquiries.
Based on the conversation, the workflow automatically routes the request to the correct Slack channel, providing human agents with a summary of the customer's issue, request, or inquiry. For example, invoice-related questions are sent to Finance, technical issues are sent to Support, and purchase inquiries are directed to Sales.
The AI also acknowledges the customer, informs them that the appropriate team has been notified, and sets expectations for follow-up. Automated follow-up messages can be sent to ensure customer engagement is maintained until the issue is resolved.
Key Features:
• AI-powered intent detection and conversation handling
• Automatic lead and support ticket classification
• Smart routing to department-specific Slack channels
• Human handoff with conversation summaries
• Automated customer acknowledgements and follow-ups
• Real-time team notifications and workflow automation
• Scalable customer support and lead management system
Business Impact:
Reduces response times, eliminates manual message triaging, improves team efficiency, and ensures every customer inquiry reaches the right department instantly.
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I created an AI voice agent workflow using Make.com (http://Make.com) that answers incoming calls, responds naturally to questions, and remembers past conversations. The agent checks Airtable to identify returning callers, recall their name, and continue the conversation with context. This system provides a smooth, human-like experience, allowing callers to interact with an agent that learns, adapts, and maintains history across calls
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This workflow is an AI-powered recruitment automation system built using n8n, Tally, Google Sheet, Google Drive, Google Calendar, Gmail, and Chatgpt AI models. Applicants submit job applications through a Tally form, where their data and CVs are automatically processed, stored, and analyzed by AI. The system evaluates applicants based on skills, experience, communication quality, and role fit, then automatically shortlists qualified candidates, schedules interviews using Google Calendar, and sends personalized email responses. It also includes automated reporting, applicant tracking, reply analysis, and workflow routing, creating a complete end-to-end hiring automation system using free tools and AI-powered decision-making.
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I built an automation workflow using Make.com (http://Make.com) that analyzes pitch emails with GPT, scores their investment potential, and sorts the results into Airtable. Passed and failed pitches are stored in separate tables, each with full AI-generated evaluations. The system then sends an automatic report to the investor’s email, allowing fast, organized, and consistent review of every pitch without manual effort.
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