Nexsales’ vision and Swabhav’s engineering.
Building LeadFusion AI agent to: unifying prospect data, spark social engagement, and orchestrate workflows.
GenAI and Agentic AI
Data
Strategy
Organizational Change & Talent
Planning and Delivery
Systems Implementation
- Python, LangChain (agent prototyping)
- Custom ML & NLG pipelines
- REST & Webhook connectors (LinkedIn, Slack, HubSpot)
- Redis-backed context tracker
- Fast-MCP
- Reinforcement-learning policy engine
THE VISION
Deliver an AI agent that doesn’t just automate tasks—but perceives context, makes decisions, acts autonomously, and continuously learns to optimize sales outreach.
You become a true growth engine for B2B teams by not just reacting to prospects—but by anticipating and engaging them in real time. That’s the reputation Nexsales built: connecting companies with the right buyers, at the right moment, with the right message. Yet as social channels exploded and data streams multiplied, sales and marketing teams found themselves buried in fragmented signals and manual follow-ups—slow, inconsistent, and impossible to scale. Nexsales saw an opportunity: what if AI could do more than score leads or populate dashboards?
What if it could live inside your CRM and chat tools—perceiving prospect behavior, deciding the best next move, and acting autonomously? Not as a novelty, but as the frontline of your outreach engine. The vision was clear: embed an AI agent at the heart of every engagement workflow, so every comment, invite, and survey invite lands with perfect timing and personalization.
So Nexsales decided to partnered with Innovation Cell of Swabhav Techlabs to build LeadFusion AI —an agentic AI platform that unifies prospect intelligence, ignites social conversations, and orchestrates conditional workflows across LinkedIn, Teams/Slack, and HubSpot. Together, we transformed a vision for smarter, self-driving outreach into a reality that accelerates pipeline velocity and delivers hyper-personalized engagement at scale.
Vatsal Mistry
Director of Marketing, Nexsales
THE SOLUTION
From Reactive Outreach to Autonomous Engagement
As lead volumes increased and social platforms became key touchpoints, Nexsales needed a smarter way to reach the right prospect at the right moment.
Traditional workflows—manual monitoring, delayed follow-ups, and generic messages—weren’t scalable. Nexsales didn’t want just automation; they wanted an AI agent that could think, act, and adapt on its own. Swabhav stepped in to design and build that capability from the ground up.
Designing an Agentic AI Framework
Working with Nexsales’ marketing and SDR teams, we mapped out real-world engagement journeys across LinkedIn, HubSpot, and Slack. We designed a modular, policy-driven agent that could autonomously trigger reactions to prospect posts, monitor replies, and adapt next steps in real time.
Each AI action was tied to measurable outcomes—comments posted, invites accepted, surveys completed—ensuring the agent delivered both speed and business value.
Under the Hood: Real-Time Intelligence Pipeline
The engine uses a 4-layer intelligence stack—profile, activity, firmographics, and intent—ingested into a unified feature store.
A Redis-based context tracker maintains engagement state per prospect. A hybrid policy engine blends rule-based triggers with reinforcement learning to select actions, while NLG powers personalized comments and invites. REST and webhook connectors sync everything to Teams/Slack and HubSpot for full visibility.
Delivering Measurable Gains and a Scalable Model
In less than 8 weeks, LeadFusion AI went live—automating social engagement and boosting response rates by 35%.
SDRs now focus on high-intent leads surfaced by the agent, while campaign managers launch new workflows with no engineering help.
The platform has become a launchpad for future agentic AI models—like dynamic campaign builders and multi-channel orchestration—cementing Nexsales’ position as a pioneer in intelligent sales enablement.
From Reactive Outreach to Autonomous Engagement
As lead volumes increased and social platforms became key touchpoints, Nexsales needed a smarter way to reach the right prospect at the right moment.
Traditional workflows—manual monitoring, delayed follow-ups, and generic messages—weren’t scalable. Nexsales didn’t want just automation; they wanted an AI agent that could think, act, and adapt on its own. Swabhav stepped in to design and build that capability from the ground up.
Designing an Agentic AI Framework
Working with Nexsales’ marketing and SDR teams, we mapped out real-world engagement journeys across LinkedIn, HubSpot, and Slack. We designed a modular, policy-driven agent that could autonomously trigger reactions to prospect posts, monitor replies, and adapt next steps in real time.
Each AI action was tied to measurable outcomes—comments posted, invites accepted, surveys completed—ensuring the agent delivered both speed and business value.
Under the Hood: Real-Time Intelligence Pipeline
The engine uses a 4-layer intelligence stack—profile, activity, firmographics, and intent—ingested into a unified feature store.
A Redis-based context tracker maintains engagement state per prospect. A hybrid policy engine blends rule-based triggers with reinforcement learning to select actions, while NLG powers personalized comments and invites. REST and webhook connectors sync everything to Teams/Slack and HubSpot for full visibility.
Delivering Measurable Gains and a Scalable Model
In less than 8 weeks, LeadFusion AI went live—automating social engagement and boosting response rates by 35%.
SDRs now focus on high-intent leads surfaced by the agent, while campaign managers launch new workflows with no engineering help.
The platform has become a launchpad for future agentic AI models—like dynamic campaign builders and multi-channel orchestration—cementing Nexsales’ position as a pioneer in intelligent sales enablement.
From Reactive Outreach to Autonomous Engagement
As lead volumes increased and social platforms became key touchpoints, Nexsales needed a smarter way to reach the right prospect at the right moment.
Traditional workflows—manual monitoring, delayed follow-ups, and generic messages—weren’t scalable. Nexsales didn’t want just automation; they wanted an AI agent that could think, act, and adapt on its own. Swabhav stepped in to design and build that capability from the ground up.
Designing an Agentic AI Framework
Working with Nexsales’ marketing and SDR teams, we mapped out real-world engagement journeys across LinkedIn, HubSpot, and Slack. We designed a modular, policy-driven agent that could autonomously trigger reactions to prospect posts, monitor replies, and adapt next steps in real time.
Each AI action was tied to measurable outcomes—comments posted, invites accepted, surveys completed—ensuring the agent delivered both speed and business value.
Under the Hood: Real-Time Intelligence Pipeline
The engine uses a 4-layer intelligence stack—profile, activity, firmographics, and intent—ingested into a unified feature store.
A Redis-based context tracker maintains engagement state per prospect. A hybrid policy engine blends rule-based triggers with reinforcement learning to select actions, while NLG powers personalized comments and invites. REST and webhook connectors sync everything to Teams/Slack and HubSpot for full visibility.
Delivering Measurable Gains and a Scalable Model
In less than 8 weeks, LeadFusion AI went live—automating social engagement and boosting response rates by 35%.
SDRs now focus on high-intent leads surfaced by the agent, while campaign managers launch new workflows with no engineering help.
The platform has become a launchpad for future agentic AI models—like dynamic campaign builders and multi-channel orchestration—cementing Nexsales’ position as a pioneer in intelligent sales enablement.
BUSINESS IMPACT
