Kaleem Ullah
AI automation and Workflow Developer,RAG agents expert
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Lead qualification and management
Problem:
Company received a large number of form submissions every day, making it difficult to identify high-value prospects quickly. Manually verifying emails, qualifying leads, sending follow-ups, and notifying sales teams took lead to delays and missed opportunities.
Solution:
I built an automated n8n workflow that triggers whenever a prospect submits a form. The system verifies email quality and checks for spam, analyses lead information using AI, categorises leads into Hot, Warm, and Cold segments, sends instant notifications for Hot leads to Slack, automatically emails Warm leads, places Cold leads into a nurturing queue, and organises all lead data in Telegram for centralised tracking.
Result:
Reduced manual lead qualification work by up to 90%.
Saved approximately 15–20 hours per week.
Enabled immediate attention to high-value prospects.
Improved lead response times and follow-up consistency.
Reduced spam and low-quality submissions.
Automated lead routing across Slack, Email, and Telegram.
Increased efficiency of sales and marketing teams through intelligent lead prioritisation.
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lead management workflow
PROBLEM:
Client received hundreds of emails every week from potential customers. Manually sorting inquiries, identifying qualified leads, responding to them, and notifying sales teams took several hours each day and often results in delayed responses and missed opportunities.
SOLUTION:
I built an AI-powered lead management workflow in n8n that automatically monitors incoming emails, identifies and categorises leads, generates personalised responses, sends replies instantly, and notifies the client about high-priority opportunities requiring attention.
RESULTS:
Reduced manual email processing time by up to 80–90%.
Saved approximately 15–20 hours per week of repetitive work.
Enabled near-instant responses to incoming leads.
Improved lead organisation and prioritisation.
Reduced the risk of missing valuable sales opportunities.
Allowed the client to focus on closing deals instead of managing inboxes.
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Peer Competition Analysis
Problem:
Client struggled to keep track of competitors' websites, marketing strategies, content updates, and market positioning. Manual competitor research is time-consuming, inconsistent, and quickly becomes outdated.
Solution:
I built an automated N8n workflow that accepts competitor website URLs, scrapes and analyses website content using AI, identifies weaknesses and opportunities, generates actionable business strategies, and stores insights in Google Sheets. The system runs automatically every morning to monitor all competitors and keep intelligence reports up to date.
Results:
Reduced competitor research time by up to 90%.
Saved approximately 10–15 hours per week of manual analysis.
Delivered daily competitor intelligence without human intervention.
Identified market opportunities and competitive gaps faster.
Created a centralised dashboard of competitor insights in Google Sheets
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CHAT-BOT(rag-agent)
PROBLEM:
client business was doing good but customers felt stuck about the general information like product availability, business timings,orders and appointments which resulted in confusion and thus loosing a customer. there was a live support but it was not available all the time and and when available it was frequently busy
SOLUTION:
I built an rag-agent (chat-bot) for this business which was particularly trained for that specific business which answered the queries of customer efficiently and round the clock . This prevented the confusion and gave the customers the feeling of being understood. If they had any query they simply texted the telegram agent and get their answers
RESULTS:
The live support manual work was replaced with the chat-bot which is available round the clock. This saved business hours of work , boosted sales and happy customers.
Note: client wanted it to be integrated it with telegram while other options like integrations with website , apps and whatsapp are also available
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