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Most sales teams don't have a lead problem. They have a follow-through problem.
So I built an AI Sales Employee and gave it one job. Turn cold leads into closed deals.
45 days running it inside my own agency, Enigma Sales
→ 20+ qualified meetings booked
→ 6 deals closed from those meetings
Here is the full loop it runs, end to end
→ Finds B2B leads that match the ideal customer
→ Reaches out on Email + LinkedIn
→ Handles the replies and books the meeting
→ Joins the call, records it and writes the notes
→ Scores how the rep performed in the call
→ Tells the rep the next move to close the deal
Most AI sales tools stop at "meeting booked". But the money is made after the meeting, and that is exactly where the last 3 steps live.
If you could hand one part of your sales process to an AI tomorrow, which one would it be?
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Worth a read if you're building AI support for e-commerce.
UI Trax gets the hard parts right: answers grounded in real store data, order lookups only after verification, a guard on every reply, and a clean handoff to humans with an AI summary.
Reliable AI agents come from architecture, not just prompts. This case study shows it.
#AIAgents #Ecommerce #CustomerSupport #AI
Check it out
The verification step before an order lookup caught my attention. For patient intake, I would similarly verify identity before retrieving records and limit the handoff summary to what staff need. I would also flag uncertainty rather than presenting an unverified summary as fact.
Just published a new case study: UI Trax, an AI customer agent for online stores. 🚀
Most store chatbots either follow rigid scripts or make things up. I built one that does neither.
What it does:
• Answers from real store data (products, sizes, stock, prices) through tool calls, never from guesses
• Tracks orders only after verifying the customer's phone number
• Runs a guard on every reply that blocks invented links, discounts, policies and promises
• Hands off to a human with a one-line AI summary, then goes quiet when staff join
• Works on web chat and WhatsApp, in English and Roman Urdu
Built with Python and Gemini, and tested against 1,500+ conversation scenarios.
Full breakdown with screenshots is in my portfolio. Open to projects building AI support agents for e-commerce, clinics, real estate and service businesses.
Great work on the case study!
How do you run 12 AI agents without opening 12 dashboards?
One office, every desk is an agent. Amber means it's waiting for you.
One map instead of twelve dashboards.
AI agent development service
Really curious how you approached the animation. Was that built in AE or did you bring in 3D?
