Humanized Customer Support and Sales agent
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About this service
Summary
How Talpur.ai Automated Their Entire Front-Line with One Intelligent Agent
— A case study on unifying Sales and Support into a single, 24/7 AI workforce.
Scaling a tech-forward business like Talpur.ai brings a unique challenge: Traffic increases, but so does the noise.
The team was facing a classic bottleneck. Their inbox was a chaotic mix of high-value leads asking about pricing and existing users asking technical support questions. The founder and core team were spending hours manually triaging messages—time that should have been spent on product development and closing deals.
They didn't just need a chatbot; they needed a Strategic Workflow Overhaul.
Using Agent.so, I built a dual-purpose "Sales & Support" agent that acts as the first line of defense for the entire company.
Here is the 3-phase breakdown of how we transformed their operations:
🔍 Phase 1: The Audit (Identifying the Friction)
Before building anything, we audited Talpur.ai’s existing communication flows to find where time was bleeding out.
The Diagnosis:
The "Context Switching" Trap: Sales staff were getting distracted by technical support queries.
Delayed Responses: Leads in different time zones were waiting 8+ hours for a reply, cooling off their interest.
Repetitive Queries: 60% of support tickets were answered by copy-pasting from the existing documentation.
The Strategy: We needed a single AI interface capable of intent detection—instantly recognizing if a user was a prospect to be closed or a user to be helped.
🛠️ Phase 2: The Integration (Building the Brain with Agent.so)
1. The "Dual-Brain" Knowledge Base
We trained the agent on two distinct datasets:
For Sales: Pricing PDFs, case studies, and "Why Us" value propositions.
For Support: Technical documentation, API guides, and troubleshooting FAQs.
2. Intelligent Routing
We configured the agent's system prompt to act as a sophisticated traffic controller:
If the user asks about pricing/features: Switch to Sales Mode. (Goal: Capture email, qualify budget, book a demo).
If the user asks "how do I...": Switch to Support Mode. (Goal: Provide instant solution, link to docs, resolve without human intervention).
🚀 Phase 3: The Acceleration (24/7 Autonomous Operations)
Once deployed, the agent took over the heavy lifting immediately.
Scenario A: The 2 AM Lead
A potential client visits Talpur.ai at 2:00 AM.
Old Way: They fill out a form and wait until morning.
New Way: The Agent.so bot engages them, answers questions about enterprise security, qualifies their budget, and schedules a meeting for the founder the next day.
Scenario B: The Technical Blocker
A user gets stuck on a feature.
Old Way: They email support and wait for a ticket response.
New Way: The agent instantly parses their question, references the uploaded technical docs, and provides a step-by-step solution in seconds.
đź“Š The Results
By implementing this "Sales & Support" architecture, Talpur.ai achieved:
âś” 70% Reduction in Support Tickets: The AI resolves Level 1 queries instantly.
âś” Zero Lead Leakage: Every visitor gets a response, regardless of time zone.
âś” Higher Quality Sales Calls: The agent pre-qualifies leads, so the team only talks to serious buyers.
âś” Unified Brand Voice: Consistent, accurate answers across both sales and support channels.
🔥 Founder’s Takeaway
Automation isn't just about saving time; it's about business continuity.
This is what happens when you stop treating AI as a tool and start treating it as a workforce.
What's included
End to End workflow automation and integration
Integrate all relevant softwares and create custom workflow
Integrate AI /LLM APis
I will integrate all required AI APIs to create more robust Structure
Complete Workflow with Business Objective
Whether you want to reduce operational activities or make cost effective system i will do it all for you
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