Landbase is a cutting-edge AI-driven platform that empowers businesses to intelligently automate their go-to-market strategies, enhancing productivity and efficiency.

An AI-powered platform that combines outbound, inbound, and market intelligence to deliver a genuine omnichannel approach for go-to-market success.

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Hey there, welcome back to our podcast! We're diving into the latest trends shaking up the business world. Today, we're tackling a topic that's gonna change how companies think about their go-to-market strategies: agentic AI frameworks.

Agentic AI isn't just about cranking out content; it's about AI systems that can plan and execute tasks all on their own. This is a BIG deal for industries like SaaS, telecom, managed services, and e-commerce. Staying competitive means embracing these cutting-edge technologies.

And who better to lead this discussion than Landbase? They're right at the forefront of this revolution. Founded in 2024, they've introduced GTM-1 Omni, the world's FIRST agentic AI platform for go-to-market strategies.

I'm Ethan, your host, and with me is Sophia. Together, we're gonna explore how agentic AI is reshaping B2B marketing and sales.

Sophia, let's jump right in. Why is everyone calling 2025 the year of agentic AI?

Great question, Ethan. Uh, 2025 is a big year because businesses are shifting from using passive AI assistants to adopting proactive AI agents. These agentic AI frameworks don't just help out—they take charge of whole workflows, making decisions and doing tasks all on their own.

Right, and that's what really sets agentic AI apart from the generative AI we've seen before. Generative AI was cool for making content, but agentic AI actually acts on that content to drive business results.

That's super interesting. So, what makes agentic AI frameworks so effective in a B2B setting?

Agentic AI frameworks are designed to work with minimal human input, which is key for efficiency. They can make decisions, chase long-term goals, and adapt based on feedback. Plus, they integrate smoothly with external tools and data sources, so they can handle tasks like scheduling demos or optimizing campaigns on their own.

Think about it in your own business: having an AI that can not only draft an email but also decide who to send it to, when to send it, and how to follow up, all while learning and adapting to get better results.

That's a powerful capability. Now, Sophia, can you explain how this move from generative to agentic AI is shaking up go-to-market strategies?

Definitely. The shift is huge because agentic AI frameworks let companies automate entire go-to-market processes. Instead of just helping with tasks, these AI systems can run campaigns, analyze responses, and tweak strategies in real-time. This means businesses can hit higher conversion rates, cut costs, and get campaigns out the door faster.

And it's not just about speed. By using agentic AI, companies can achieve a level of hyper-personalization that was previously out of reach. This leads to more meaningful interactions with prospects and ultimately better business results.

Exactly. For instance, Landbase's GTM-1 Omni can handle everything from prospecting to setting appointments, learning and optimizing at each step. This kind of automation not only fills the pipeline but also aligns marketing and sales efforts seamlessly.

That's fascinating. So, what are some of the key benefits businesses can expect from adopting agentic AI frameworks?

Well, first off, businesses can expect higher conversion rates thanks to the hyper-personalized outreach that agentic AI makes possible. Plus, there's significant cost savings, as AI can replace or enhance large human teams at a fraction of the cost. And let's not forget the speed—agentic AI can execute campaigns much faster, giving a competitive edge in fast-moving markets.

And the integration part is key too. By acting as a centralized hub, agentic AI frameworks break down silos, enabling a unified, data-driven strategy across marketing and sales.

Absolutely, and this unified approach ensures no leads fall through the cracks, as the AI can carry leads from initial engagement all the way to sales handoff.

It's clear that the implications of adopting agentic AI are profound. But for companies looking to implement these systems, where should they start?

A great starting point is to pilot agentic AI in a specific area of your go-to-market process. This lets you show quick wins and learn valuable lessons before scaling up. It's also crucial to make sure your data is ready and integrated, as these AI frameworks thrive on data.

And don't forget about training your team. It's important to get buy-in by showing how AI can boost their productivity, not replace them. Continuous monitoring and iteration are also key to aligning AI strategies with business goals.

Right. Choosing the right partner or platform is also crucial. Look for a solution that matches your specific needs and offers robust support and security.

As we wrap up, let's think about the future. How do you see agentic AI evolving in the next few years?

The future's bright for agentic AI. As these frameworks get more advanced, they'll tackle even more complex tasks, expanding into areas like partner management and real-time pricing strategy. The competitive gap will widen between those who leverage these tools and those who don't.

Indeed, we're at a turning point. By 2028, agentic AI will likely be as standard as CRM systems are today. Companies that embrace this shift early will lead the next decade of B2B growth.

That's a compelling vision. For our listeners, think about how these insights might reshape your approach to go-to-market strategies. If you're ready to explore agentic AI further, reach out to Landbase for a personalized demo of GTM-1 Omni.

Thanks for joining us today. We hope this chat has sparked new ideas for your business. Until next time, stay ahead of the curve and keep innovating.

Agentic AI vs Generative: The 2025 B2B Sales Shift

July 21, 2025 • Agentic AI in Action

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