Sales teams are overwhelmed by shallow outreach, missed follow-ups, and too many tools that drain time and momentum. AI, however, is changing the way companies engage and prospect buyers. Sanjay Bhatia, founder of Runday.ai, is advancing how companies manage AI effectively for optimal outcomes.

Bhatia believes that sales systems should understand people before speaking to them. And the role AI agents play in this is integral. AI agents are software programs that can take action, make decisions, and complete tasks based on goals rather than just scripted responses. Unlike chatbots that reply to set questions or basic automation that follows fixed rules, AI agents adapt to context, learn from data, and handle multi-step workflows. They work across systems, not inside a single conversation window.

A Founder Shaped by Data, Discipline, and Curiosity

Sanjay Bhatia has founded, advised, or invested in multiple seven- and eight-figure companies across SaaS, analytics, healthcare, and marketing tech. His work with firms like CallRail, Fit: Match, and Formidium strengthened his view that sales teams need help earlier in the funnel.

Bhatia is not new to building data-led companies. He has spent years working with analytics, software, and artificial intelligence. He has held roles at Microsoft, Radiant Systems, and Trilogy, and founded Izenda (a platform that is used by millions) from his dorm room during his MBA.

Over time, Bhatia saw how sales teams struggled with fragmented tools, missed follow-ups, and shallow outreach. They were not using AI as it should have been, so he created Runday.ai. 

In a Forbes Tech Council piece on AI agents in sales, Bhatia explains how the focus shifts from automation to decision support. AI agents do not replace sellers but prepare them. Runday.ai is built with that philosophy.

How Runday.ai Changes the Sales Conversation

Runday.ai is an AI system that helps sales teams find, engage, and book the right prospects. In practice, it integrates prospecting, engagement, qualification, and booking into a single system. The goal is to reduce friction and increase signal.

The platform’s front-facing agent, Alice, communicates with customers on all platforms. She engages visitors, asks relevant questions, and books qualified calls directly into calendars. Behind the interface, AI agents study content, past interactions, and company data to detail every message.

AI agents are designed to handle a variety of tasks across different channels. They tailor their messages based on social profiles, roles, and relevant firm data. By using sales materials and product documents, they can help answer buyer questions. With integrations with calendar and CRM systems, the scheduling and follow-up process may become more efficient, potentially reducing time to meetings. These agents are equipped to manage inquiries and escalate to human support when necessary, offering round-the-clock assistance.

For example, an individual visits a company website after clicking on an email campaign. An AI agent recognizes the role and responds with a message as per marketing operations. It answers questions about reporting features using product documents. The visitor asks for a demo. The agent checks calendar availability and books a call instantly. Later, when a support question comes in, the agent resolves it without delay. The result is smoother engagement, higher response rates, and more qualified conversations. 

With Runday.ai, TapClicks saw a notable increase in website engagement and email performance. Similarly, Arganteal experienced significant growth in website traffic and improved email response rates. These case studies highlight the positive impact of using Runday.ai.

Bhatia believes that salespeople should feel prepared so prospects receive relevant answers early. Sales teams can conserve their energy to focus on closing.

Designed for Scale Without Losing Context

Runday.ai serves marketing agencies, software firms, service providers, and managed service teams. The platform is highly flexible. Teams can customize agents through simple spreadsheets. Content, questions, branding, and workflows are editable without code. AI agents learn fast by reading documentation and adapting responses.

The system supports:

• LinkedIn, email, SMS, and WhatsApp conversations.
• Smart scheduling.
• Connects with sales and advertising tools.

This multi-channel context matters because sales do not live in one channel. Prospects move between email, LinkedIn, messages, and websites, often repeating themselves along the way. Runday.ai keeps these operations connected, so context isn’t lost, follow-ups make sense, and teams respond with a full view of the conversation rather than fragments. 

AI Agents as Sales Infrastructure

Bhatia does not claim that Runday.ai is magic. He aims to make it part of the infrastructure. In his view, AI agents should handle repetition, pattern recognition, and timing. Humans handle trust and judgment.

Consequently, teams stop fearing replacement and start expecting support. AI agents work around the clock, never forget to follow up, and never lose context mid-thread.

Runday.ai aims to create a connected world through AI. This connection is not just an abstract concept, but a practical connection between buyers, sellers, and systems.

Limits and Responsible Use

AI agents work best with clear boundaries. Accuracy depends on the quality of the content they are trained on, so systems must be reviewed and updated regularly. Moreover, customer privacy should be handled with care, using proper permissions, disclaimers, and controls. When questions become sensitive or complex, AI should step aside and route the conversation to a human for better judgment.

Looking Ahead: The Future of Sales with AI

Sales teams today face significant pressure from fragmented outreach, rushed conversations, and multiple, scattered tools. Fortunately, with AI agents like those powered by Runday.ai, teams can anticipate client needs, respond with relevant knowledge rather than info-dumping, and focus on building meaningful relationships rather than managing administrative overload. In the future, success in sales will be possible through intelligent AI agents, which enable sales teams to work smarter, close deals faster, and build stronger client trust.

Disclaimer: The information provided in this article is for general informational purposes only. The examples and case studies included reflect potential outcomes but do not guarantee specific results. AI technologies, including Runday.ai, are evolving, and their effectiveness may vary based on numerous factors, such as system integration, content quality, and user interaction. This article does not offer professional advice, and any actions taken based on the information herein are at the reader’s discretion.