Skip to content
Adithya Reddy

Case study

Lead generation and reporting automation at an AI services company

Generate qualified leads and cut manual reporting and content work.
  • Segmented, qualified leads that supported revenue

    Result

  • Revenue facilitated through the lead pipeline

    Result

  • Weekly manual work reduced

    Result

  • Client report delivery cut from days to hours

    Result

Client
an AI services company
My role
Lead AI Engineer (Growth & Business Development)
Period
Mar 2024 to present

Challenge

Generate qualified leads and cut manual reporting and content work.

What I did

  1. Built Python and SQL pipelines that extract, clean, deduplicate and score prospect data
  2. Automated content creation, client reporting and scheduling with LLM pipelines (LangChain, Claude API)
  3. Built Power BI dashboards tracking marketing KPIs
  4. Wrote technical specifications for developers
  5. Coordinated a small team to deliver a market-ready AI agent

Results

What changed

  • Segmented, qualified leads that supported revenue

  • Revenue facilitated through the lead pipeline

  • Weekly manual work reduced

  • Client report delivery cut from days to hours

  • Marketing KPIs tracked in Power BI

  • KPI dashboards informed leadership decisions

  • Faster developer clarification cycles

  • AI agent delivered ahead of plan

  • Outsourcing cost saved

Tools used

  • Power BI
  • Python
  • SQL
  • LangChain
  • Claude API

Related

Keep reading

Related service

AI Lead Generation

Segmented, scored lead pipelines that route the right enquiries to sales faster. Lead generation consulting from Hyderabad, serving India.

Learn more about AI lead generation

Ready to grow?

Let's discuss a strategy for your business

Tell me your goals and where your numbers are today, and we will work out what to fix first.