Sales teams today face a familiar problem: too many tools, too many leads, and not enough clarity on who is ready to buy. A full inbox slows response times, and SDR teams waste time on low-intent prospects. This results in meetings slipping through the cracks. AI strategist Sanjay Bhatia fills this gap by turning data into a system that listens, responds, and adapts in real time. He believes that organizations grow faster when humans and AI share the work with a clear purpose and structure.
Sanjay Bhatia is the founder of Runday.ai, a platform built around AI sales agents that run nonstop B2B lead generation. The system deploys AI SDRs that identify prospects, start conversations, qualify intent, and handle automated appointment scheduling across channels. The AI brand ambassador, Alice, engages visitors, starts conversations, and books qualified calls straight to the calendar so humans can focus on closing.
“AI offers opportunities to improve internal sales processes that directly impact revenue,” Bhatia says. “Especially when it comes to lead quality and timing.”
Solutions in Action Across Four Main Industries
Runday.ai delivers results for marketing agencies, managed service providers, service providers/real estate, and software companies.
Across these industries, the pattern stays consistent. Growth stalls when teams chase meaningless leads. Momentum returns when conversations feel personal and move at the buyer’s pace.
Marketing agencies often find themselves chasing leads that might have volume but no intent. Runday.ai helps marketing agencies grow without growing their teams. Its AI agent, Alice, finds the right prospects and starts meaningful conversations across multiple channels. Each message is curated to be personal and relevant. Meetings land directly on sales calendars. Agencies spend less time chasing leads and more time closing deals. Alice keeps the pipeline full while teams stay focused on revenue.
For example, TapClicks, a marketing analytics platform, saw 36,988 sessions in a single month and a 27.07% email click rate after deploying Runday.ai. These results were achieved within weeks of launch. Usually, it takes organizations years to achieve that level of growth.
Runday.ai’s AI sales agent handles prospecting across email and LinkedIn, analyzing roles, firmographics, and social signals. Messages are adapted to each prospect’s context. Qualified meetings appear on calendars within days.
“Nothing is more important than engaging high-potential customers who are ready to pull the trigger,” Bhatia notes. “AI offers the opportunity to introduce more efficiency that can enhance the sales team’s efforts.”
Similarly, for Arganteal, the problem was scale without service degradation. The IT automation firm needed faster responses without overwhelming technicians.
After adopting Runday.ai, Arganteal recorded a 34.36% increase in website traffic and a 26.30% email click rate within the same quarter. Alice qualified service requests, coordinated appointments, and maintained 24/7 communication across channels.
This is why managed service providers connect with Runday.ai. Their support teams stay focused, errors drop, and clients receive instant replies, which is an industry benchmark few MSPs meet consistently.
In real estate and adjacent services, delays kill deals. Runday.ai addresses this directly. Its client, Ecomedes, a platform for sustainable building products, gained 4,312 sessions and a 23.77% lift in email click rates during its first active campaign. Alice scheduled demos, qualified leads by project scope, and followed up automatically across email, SMS, and web chat.
Bhatia calls for a “synergistic relationship between human employees and the AI agents, with the former providing strategic vision and human judgment, while the latter contributing data-driven insights and operational efficiency.”
This mindset especially supports SaaS teams. Consider 2amTech’s success with Runday.ai. The custom software firm faced a familiar SaaS challenge: interest without follow-through.
Within the campaign window, the company saw a 4.63% increase in reply rate and a 25.00% improvement in email click rate, a strong result for an industry where leads often vanish into thin air. Alice managed demo scheduling, trial follow-ups, and early onboarding touchpoints. High-intent prospects advanced faster through the funnel.
Why Runday.ai Works
Unlike rule-based chatbots or single-channel automation tools, Alice operates as a full AI sales agent, trained on a company’s own materials and tuned to buyer intent. Alice also evaluates context, channel, and timing before engaging. This allows outreach to feel intentional rather than automated, bringing it closer to an experienced AI SDR than a scripted bot.
Runday.ai also offers intent-based lead qualification that prioritizes sales-ready prospects. Appointment scheduling can be synced directly with CRM and calendars.
Alice also learns from every interaction and constantly improves. She refines tone, improves timing, and surfaces high-intent opportunities as they emerge. Traditional chatbots can’t match that level of nuance.
Conclusion
Sanjay Bhatia believes the next era of growth will belong to teams that treat AI as a revenue partner, not a shortcut. Through Runday.ai, he is shaping how businesses scale conversations without compromising on value. “The top performers in any organization are involved in such a big strategic move as AI agent adoption to ensure long-term success,” Bhatia says.
For agencies, SaaS firms, and service-based businesses, it is crucial to adopt AI sales agents early, or risk spending the next few years catching up.
