In sales, customer engagement has become more personal than ever. Businesses that treat conversations with every person in the same manner are losing ground. Buyers now expect meaningful interactions that match their needs, their timing, and even their style of communication.
So, how can technology rethink human connections? Sanjay Bhatia, an AI architect and serial entrepreneur, has provided the answers… and the solution.
Bhatia is the founder of Runday.ai, a company building AI agents that behave more like teammates than tools. He says, “We think of AI not as a co-pilot or superhuman but instead as a team of interns that never quits and never sleeps.”
With this approach, Bhatia has grown Runday.ai into a trusted partner for more than 100 enterprises worldwide.
The Role of AI Agents in Redefining Sales Engagement
Sanjay Bhatia, writing for the Forbes Technology Council, noted that every company, new or legacy, ultimately focuses on sales outcomes. But while leaders obsess over processes, the real opportunity lies in smarter engagement. AI agents are proving they can transform sales strategies in three clear ways:
● Sharper Lead Quality: AI can analyze multiple sources such as social media, company websites, and customer databases to pre-qualify prospects. This saves teams from chasing leads that were never serious.
● Personalized Marketing at Scale: Hyper-personalized outreach ensures that prospects hear from a brand in a way that feels personal, not scripted. Messages adjust to past behavior and sentiment, making each interaction relevant.
● Customer Service That Feels Human: Generative AI now makes it possible to deliver responses that sound natural, providing trust, especially now when one robotic experience can lose a customer forever.
The outcome is higher engagement, better margins, and faster sales cycles without burning out human teams.
How Runday.ai Brings AI Agents to Life
Runday.ai offers speed and scale. In just five minutes, a company can launch its own AI agent, trained to handle sales conversations around the clock. Runday calls its agent “Alice.” It would be too limiting to call her “just a chatbot.” She is a tireless sales rep who manages outreach, follow-ups, and support across multiple channels.
She offers:
● Hyper-Personalized Outreach: Alice crafts precise messages across LinkedIn, email, SMS, WhatsApp, and other platforms. Each message is built from social profiles and company data, giving it higher odds of getting a reply.
● Engage and Qualify Buyers: By reading sales material and product documentation, Alice answers customer questions directly. This has led to “20X more engagement” compared to static approaches.
● Book and Follow Up: Integrated with CRM and calendars, Alice not only books meetings but also follows up with no-shows, reducing lost opportunities.
● Always-On Support: Alice can resolve 95% of inquiries by pulling from company’s knowledge bases. When needed, she escalates to human reps.
All these features result in faster response times, more qualified appointments, and an overall lift in customer experience. Businesses see up to three days shaved off their average sales cycle.
Challenges and Pathways to AI Adoption
While the benefits are clear, Bhatia emphasizes that AI adoption comes with hurdles. Companies often stumble by rushing the process or investing in gradual solutions.
From his perspective, the best path forward involves:
● Building the Right Infrastructure: Companies must decide on tech stacks, integrations, and schema before deploying AI at scale.
● Getting Stakeholder Buy-In: AI adoption fails without support from leadership. A partnership between human decision-makers and AI agents is very important.
● Prioritizing Data Quality and Security: As Bhatia says, “garbage in, garbage out.” Without strong data governance, AI agents can’t deliver meaningful insights.
These steps may sound simple, but they require patience. Legit transformation doesn’t happen overnight.
Why Personalized Engagement Matters Now
The numbers are hard to ignore. Buyers are more informed and selective. They expect accurate answers on the spot, across their preferred channels, at any time of day. Companies that fail to meet these expectations risk losing deals and long-term loyalty.
That’s why Runday.ai has combined personalization with automation; it ensures that no lead slips away, no question goes unanswered, and no customer feels ignored. This kind of engagement is quite simply a game-changer.
Conclusion
Sanjay Bhatia, with Runday.ai, has shown how AI can become a real partner in business growth. He focuses on hyper-personalization, sales automation, and customer care, changing what engagement can be like, since presently, it is usually robotic and general.
Henceforth, conversation can be done through AI, but with the human touch still intact. For businesses aiming to grow faster and smarter, Bhatia proves that the correct strategy is to rethink engagement with AI at the center.
