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AUTOMATION / 2-4 WEEKS PER CLIENT

Sales & Outreach Automation

The Bot Company built lead sourcing, enrichment, AI-personalized outreach, reply detection, CRM sync, and reporting workflows that move sales teams out of manual prospecting.

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2-4 WEEKS PER CLIENT

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India and global outbound markets

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60–70% of prospecting time reclaimed

Overview

A production case study, not a proof of concept.

End-to-end pipelines for lead sourcing, AI-personalized outreach, and follow-up - built for one of India's leading design studios and others.

Lead sourcing and enrichment pipelines

AI-personalized email and LinkedIn outreach workflows

Reply detection with intent scoring and warm-lead routing

CRM sync for HubSpot and Pipedrive

Reporting dashboards for reply rates, meetings, and pipeline movement

The challenge

The business problem

For agencies and engineering firms like Become (one of India's top design studios, working with Uber, Himalaya, and the Ministry of Defence), Whoamama, and Infinite Engineers - the bottleneck was never talent. It was the time their teams spent finding prospects, writing openers, and chasing follow-ups instead of doing the work they're great at.

The approach

How the work was planned

We built modular sales automation systems that handle the entire top-of-funnel - from sourcing leads across public databases and LinkedIn, to enriching each one with firmographic and contact data, to generating AI-personalized outreach sequences. The human team only enters when a prospect is warm and ready to talk.

The solution

What shipped

Lead sourcing pipelines, enrichment workflows, AI-drafted outreach across email and LinkedIn, reply detection with intent scoring, auto-routing of warm replies to reps, CRM sync with HubSpot and Pipedrive, and reporting dashboards showing reply rates, meetings booked, and pipeline value generated.

Results

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60–70% reduction in time spent on prospecting

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Pipeline volume increased across all client deployments

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Cost per booked meeting significantly reduced

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Sales teams refocused on conversations, not cold outreach

Technical architecture

Built with the stack the product actually needed.

The technology mix supports the operational requirements of the case study: core application development, AI workflows, integrations, data storage, notifications, and production infrastructure.

  • Python
  • OpenAI
  • Make.com
  • HubSpot
  • Pipedrive
  • LinkedIn API
  • Instantly
  • PostgreSQL
  • AWS Lambda

Answer engine context

Clear answers for buyers and AI search.

What sales work was automated?

The system automated prospect sourcing, enrichment, outreach drafting, follow-up handling, warm-reply routing, CRM updates, and performance reporting.

Does the automation replace the sales team?

No. It removes repetitive prospecting work so the team can focus on qualified conversations and relationship building.

Which teams benefit from this kind of automation?

Agencies, studios, consultancies, and engineering firms with founder-led or small sales teams benefit most because they often lose time to manual outbound work.

Related service

Need a system with this level of production depth?

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Next step

Let's build the useful thing.