A structured 3-week program built live on their real pipeline. By the time training ended, the system was already running.
Our client builds software for operations and finance teams in mid-market companies, selling across India and the US. Their Sales team had grown to 27 Business Development Executives. They had various tools like Apollo, HubSpot, LinkedIn Sales Navigator and ChatGPT. On paper, AI-enabled. In practice, completely disconnected.
Five compounding cracks that were silently draining the pipeline.
Some executives spent 35 minutes researching one account. Others sent generic outreach to 50 accounts at the same time. Nobody agreed on what "qualified enough to reach out" even meant.
Every executive had their own prompts in a personal Notes app or Google Doc. One was writing full sequences with ChatGPT. Another used it only to fix grammar. The manager had no way to standardise any of it.
No defined sequence logic meant follow-ups happened only when someone remembered. High-intent prospects who did not reply to email one simply disappeared from the pipeline. Nobody knew it was happening.
Relationship-first emails going to US process-driven buyers. Outcome-focused copy going to Indian prospects who wanted speed and credibility. Both underperforming for completely different reasons.
HubSpot data was incomplete, logged days late, and based on memory. The manager could see the team was busy. She could not tell which accounts were actually moving.
The team went through our structured 3-week AI-Powered Sales Training Program, working directly on their live pipeline across both markets. Every session was hands-on. By the time training ended, the system was already running.
A structured account research process using Apollo, Clay, and a custom AI prompt sequence surfacing buying signals, firmographic fit, and triggers like funding rounds and hiring activity. What took 20 to 35 minutes now takes under 5. Every executive does it the same way.
Two separate outreach frameworks — one for India built around speed-to-value and peer credibility, one for the US built around business outcomes and specificity. Both loaded into a shared AI prompt library the whole team personalises from.
Every prospect enters a defined sequence across email and LinkedIn with set timing, follow-up logic, and a break-up message. No executive decides the cadence independently.
20+ documented AI prompts covering research, first-touch personalisation, objection handling, follow-up variations, and LinkedIn openers. Market-tagged for India and US. Stored in one shared workspace.
Deal stage movement, reminders, and pipeline updates now run through automated workflows. No manual logging. No memory-based updates. The manager finally has a pipeline she can actually coach from in real time.
Every SDR was using AI differently and getting different results. After the training, we finally had one way of doing things. The team was able to reduce manual, repetitive work and become more outcome-driven. Automation helped us get better data and a higher quality pipeline. The training created a real shift in how we think about and use AI.
The same team, the same tools. One unified system underneath it all.
| Before | After | |
|---|---|---|
| Account research | 20 to 35 minutes, no standard | Under 5 minutes, shared AI workflow |
| Messaging | Every executive writing independently | Shared framework, AI personalisation at scale |
| India vs US | Same approach for both markets | Separate playbooks for each buyer context |
| Follow-up | Memory-based, easy to miss | Automated sequences and reminders |
| AI usage | 27 different prompt styles | One shared prompt library |
| CRM | Incomplete, logged retroactively | Automated in real time |
| Manager visibility | Activity reports with no context | Live pipeline the manager can coach from |
Apex School of Business trains B2B sales teams to build one AI-powered sales engine the whole team runs on together, covering prospecting, outreach, automation, and pipeline management. Built live, on your real pipeline, across your real markets.