Turn every Sales Conversation into Closure

An AI-powered Lead-to-Closure platform that supports sales teams before, during, and after every call; turning conversations into tasks, proposals, MoMs, and CRM updates in real time.

Client Background

The client operates in the enterprise sales domain, managing high-value deals with long sales cycles, multiple stakeholders, and complex technical discussions.

Due to NDA constraints, specific details such as client name, geography, and website are not disclosed. However, the engagement focused on building a scalable, AI-powered sales enablement platform that integrates seamlessly with existing enterprise systems and workflows.

What we did

Solution
AI-Powered Lead-to-Closure (L2C) Platform
Industry
Enterprise Sales / Revenue Operations
Deployment
Global / Distributed Sales Teams
Consult
Connect with Our AI Consultants

Problem Statement

Sales teams struggled to consistently convert conversations into actionable outcomes, leading to inefficiencies across the deal lifecycle.

Key challenges included:

Loss of context across multiple sales interactions
Inconsistent follow-ups and missed commitments
Lack of real-time support during technical discussions
Heavy dependency on manual note-taking and CRM updates

Current Scenario

Before implementing the solution:
Sales reps relied on fragmented tools and manual processes
Converted into conversations were not constructured outputs
CRM data was incomplete, delayed, or inaccurate
CRM data was incomplete, delayed, or inaccurate
Follow-ups were inconsistent or missed entirely
Converted into conversations were not constructured outputs
Sales cycles became longer and unpredictable
Follow-ups were inconsistent or missed entirely
Revenue forecasting lacked reliability

Upgrade your Sales Execution

From call insights to CRM updates; fully automated.

Our Technology Stack

We leverage industry-standard cloud, data, AI/ML, integration and analytics platforms to deliver scalable predictive analytics solutions and enterprise decision intelligence services with speed, accuracy and reliability.
Design a workflow-first AI system, not just a note-taking tool
Ensure context continuity across pre, during, and post-call stages
Build real-time intelligence capabilities for live conversations
Automate execution and follow-ups directly from conversations
Integrate deeply with existing enterprise systems

This led to the creation of a three-layered intelligence architecture:

Pre-Call
Context Intelligence
During Call
Real-Time Assistance
Post-Call
Execution Automation

Proposed Solution

We developed an AI-powered Lead-to-Closure (L2C) platform that acts as an intelligent layer on top of existing sales workflows. Unlike traditional tools, the platform:

Process

01

Pre-Call Preparation
AI generates smart briefs by consolidating:
  • Consolidates previous MoMs and call transcripts
  • Tracks completed and pending task updates
  • Maps stakeholder roles and decision influence
  • Identifies key objections and expected questions

02

Pre-Join Meeting Insights
Before joining the call, the system provides:
  • Identifies attendees including key decision-makers
  • Analyzes joiners and absentee participation trends
  • Suggests agenda based on deal context
  • Surfaces relevant assets & documents

03

During Call Assistance
An AI assistant supports during live conversations:
  • Generates live transcripts with speaker identification
  • Detects topics across pricing, scope, and timelines
  • Provides actionable cues for next best actions
  • Recommends responses and technical guidance

04

Action Routing
The system converts commitments into structured outputs:
  • Creates tasks with defined ownership and priority
  • Schedules meetings with relevant stakeholders
  • Drafts emails for follow-up communication
  • Updates CRM with real-time data entries

05

Post-Call Execution
After the call, the platform generates:
  • Generates MoMs with structured summaries
  • Creates task lists with assigned deadlines
  • Drafts recap emails for stakeholder alignment
  • Prepares proposal drafts based on discussions

Solution Offered & Features

Post-Call Composer
  • Automatically generates
  • MoMs
  • Tasks
  • Recap emails
  • Proposal drafts
  • Supports editing, approval, and versioning
Analytics & Revenue Hygiene
  • Tracks
  • Next-step rate
  • Proposal turnaround time
  • CRM completeness
  • Engagement metrics
  • Improves forecasting and pipeline visibility

Key Differentiators / USPs

A Closer Look at the Platform

Dashboard

In-call Assistant Panel

Final Outcomes

Use Cases

Technology Stack

Close Deals Faster

Reduce sales cycles and improve follow-up consistency.