Professional Services Case Study
Sales Management & AI Lead Platform
A sales management platform handling lead pipelines, branch operations, employee performance, AI-assisted lead qualification, automated outreach, dashboards, and reporting.
- Client
- H&MV Engineering
- Country
Saudi Arabia- Industry
- Professional Services
- Status
- Completed
- Technologies
- pythonnestjsreactAWSMCP
Overview
An AI-powered sales operations platform built for a company that provides sales support to other businesses and needed to replace spreadsheet-driven processes with a controlled, scalable operating system.
The Challenge
The business managed complex sales-support operations across multiple teams. Lead sourcing and filtering were heavily manual, operational records were fragmented, and accountability could become a dispute between managers and employees because there was no single reliable operational record.
The company also needed to discover and qualify large numbers of businesses for targeted campaigns. Existing processes did not provide enough structure to scale the service it sold.
The Solution
Xupyter built a heavily protected sales management platform in which AI performs major parts of the lead-acquisition workflow while human inspection remains the control gate.
AI agents discover large volumes of businesses, filter them according to niche and campaign requirements, and prepare qualified opportunities. The platform adds AI-based recommendations for daily priorities, calling support, forms, team management, detailed roles, reporting, and multiple sales-team operations.
Key Capabilities
- AI lead discovery
- Lead scraping and collection
- Niche and target filtering
- AI campaign operations
- AI daily recommendations
- Calling support
- Forms
- Multiple sales teams
- Team management
- Granular roles and access
- Dashboards and reporting
- Human validation
How It Works
Campaign criteria define the target. AI agents discover businesses and collect potential leads at scale. Filtering narrows the pool according to niche and target requirements. Human inspection remains the gate before important sales actions. Sales teams then work from controlled records, calls, forms, follow-ups, and reporting.
Impact
The platform created clear records of what was happening and who was responsible. More importantly, the software helped the company expand its commercial opportunity: the business received more client offers, could market its core sales-support capability more effectively, and created additional employment opportunities as the operation expanded.
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AI Capabilities
AI capability | What it does | Operational value |
|---|---|---|
AI lead discovery | Agents discover large volumes of potential businesses for campaigns. | Creates scalable lead-sourcing capacity. |
AI qualification and filtering | AI filters prospects by niche, target, and campaign requirements. | Reduces manual research volume. |
AI campaign recommendations | The platform recommends which opportunities deserve attention. | Helps teams prioritize daily work. |
AI operational assistance | AI supports retrieval, updates, and reporting across the sales system. | Reduces repetitive operational work. |
Human-in-the-loop validation | AI output is inspected before important decisions or actions. | Maintains human control over lead quality. |
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