Case Study
Agentic AI Sales Copilot
for NT (National Telecom)
Agentic AI layer on top of the NT B2B sales pipeline — qualifying leads, drafting proposals, and progressing deals
OutcomesResults that matter
ContextThe challenge
NT's B2B sales reps were spending hours on lead qualification, proposal drafting, and follow-up tracking. The custom sales pipeline (delivered earlier) gave structure — but the team needed an AI layer that could actually take action against that structure, not just summarize it.
ApproachOur solution
We added an Agentic AI sales copilot on top of the existing NT pipeline. The agent qualifies new leads against scoring rules, drafts proposal first-cuts using the rep's prior wins, schedules and logs follow-ups, and flags stalled deals — all inside the same internal-stack tools the team already uses.
What we delivered
- Agentic AI layer integrated with the existing NT sales pipeline
- Lead-qualification agent with rule-based scoring + LLM judgment
- Proposal-draft agent using the rep's prior won deals as templates
- Follow-up scheduler that logs activity back into the CRM
- Stalled-deal flags with explainable reasoning for the rep
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