Automated Lead Qualification/Scoring
It needed an intelligent system to analyze incoming and outgoing leads automatically, use qualification logic, and allocate priorities to prospects based on engagement behavior and firmographics.
Regular Multistage Follow-Ups
A system was needed to complete systematic follow-up sequences on email and CRM touchpoints to do away with missed opportunities due to tracking discrepancies in manual tracking.
CRM Update and Meetings Scheduling Automation
CRM updates and automated calendar booking were also needed to provide correct tracking of the pipeline and decrease the level of manual work on the schedule of sales representatives.

SDRs were manually reviewing inbound leads, which took time to respond, had inconsistent qualification criteria, and were missing engagement prospects within critical buying windows.

Individual SDR discipline was required for follow-ups. Prospects were also known to have inconsistent communications, which impacted brand perception and decreased the chances of conversion.

Prioritization of lead did not have predictive intelligence. Opportunities were not properly aligned to the signals of engagement, which resulted in the ineffective distribution of the sales resources.

The sales representatives were wasting too much time updating CRM records, booking meetings, and handling routine jobs rather than doing revenue-generating activities.
Implementation of AI SDR Agent through Agentforce
The deployment of an AI Sales Development Representative was implemented with the Salesforce Agentforce, where qualification rules, conversational logic, and workflow triggers were established. The evaluation processes of the lead were automated and did not depend on manual scoring and prioritization.
Artificial Intelligence Lead Scoring
Intense scoring logic was applied based on the use of Einstein GPT, where engagement trends, email reactions, and behavioral cues were examined. Prospects were dynamically categorized, and the high-intent leads would be immediately routed to account executives.
CRM-Centric Automation
The process of automation was organized within Salesforce Sales Cloud, in which follow-up sequences, updating statuses, and adding opportunities were done automatically. Data synchronization was also ensured to promote an accurate pipeline and transparency of reporting.
Automated Outreach and Meetings Scheduling
Multi-touch outreach sequences were set up in the system of AI agents, in which personalized responses were generated, and meeting scheduling links were activated automatically. The execution of calendar integration and CRM updates was performed automatically.



US-based B2B SaaS company that provides workflow automation software that has received a high inflow of leads but cannot scale sales development processes and organized follow-up management.
The sales process has been transformed by the AI SDR agent. The lead qualification process was speeded up, the follow-ups were streamlined, and our sales team was able to concentrate all their efforts on closing high-value leads.
A successful implementation of an AI-based SDR agent in this engagement was achieved to remove manual qualification and inconsistent outreach activities.
As a result of using Salesforce Agentforce, the intelligent automation workflow was implemented to perform lead scoring, follow-ups, and CRM updates filled with ease. The integration with Salesforce Sales Cloud made sure that opportunities were tracked correctly, whereas AI capabilities fueled by Einstein GPT made the engagement personalization and prioritization logic more robust.
Through this, the qualified pipeline volume grew by 52 percent, response times were lowered considerably, and the SDR productivity rose by a significant margin. The solution provided more than technological innovation, but a scalable revenue acceleration system to support long-term SaaS growth.
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