Initiatives

Unlocking AI-SaaS Success: What Founders Can Gain from SaaSBoomi’s Tech Tracks

AI has changed everything. Well-established SaaS players, upcoming SaaS startups, everyone is affected. How do we navigate this shift?

SaaSBoomi is known for bringing together some of the most innovative minds in the SaaS ecosystem, and this year’s tech tracks promise to be a goldmine of insights for founders navigating the AI-driven SaaS landscape. With a specific focus on product strategies, solution engineering, and team building, the track offers a blend of case studies, technical deep dives, and leadership insights that can equip founders with the tools needed to scale AI-powered SaaS products effectively. True to the SaaSBoomi ethos, it’s less talk, more action.

Let’s explore what we have in store for you at the tech tracks.

Product Strategies: Navigating the AI-SaaS Landscape

AI-SaaS Lessons Learned: Success Case Studies & Postmortems of Failures

A founder launched an AI-driven platform with the confidence that it would disrupt the market. However, as months passed, user adoption remained low, and the business struggled. Sounds familiar? At SaaSBoomi, founders will share how they realized the flaws in their AI implementation, pivoted their strategies, and what fellow entrepreneurs can learn to avoid similar pitfalls. Industry leaders will also shed light on real-world do’s and don’ts for AI adoption, giving attendees practical insights on what truly works.

Next-Gen UX in AI: Building Trust, Transparency, and User Retention

Imagine building a powerful AI tool, only to find that users don’t trust its decisions. Do we have to think differently in terms of UX when designing AI systems? How much are transparency and explainability in AI  critical for retaining users? Through keynotes and workshops, we will explore the UX patterns that helped startups establish credibility and drive engagement in their AI-driven products.

Packaging & Pricing Strategies for AI-Infused Products

SaaS disrupted software pricing by moving Capex into Opex. How is AI shifting the pricing discussion? Why are businesses flocking towards outcome-based pricing? How are gross margins affected? This session will take attendees through real-world scenarios of how startups innovated on pricing and showcase what models worked. Through interactive discussions, founders will explore different pricing strategies being adapted in this AI shift.

A key question when scaling an AI company is whether AI should be packaged as an independent offering or integrated as an add-on. Through real experiences, this session will dive into cost-value analysis frameworks that can help founders make informed packaging and pricing decisions.

AI Product Management Essentials

In the rapidly evolving AI landscape, product managers face unique challenges in balancing innovation, ethical responsibility, and market fit. This session will explore the core principles of AI product management, from defining strategy and aligning with business goals to ensuring responsible AI development. We’ll dive into ethical considerations like bias mitigation, transparency, and compliance, while also discussing how to effectively package AI solutions for adoption and scalability.

Solution Engineering: Mastering the AI Technical Stack

Data-Driven AI: Managing AI-Ready Datasets & Discovering Advanced Patterns

AI models are only as good as the data they train on. When companies decide to implement AI for personalized recommendations, they face numerous challenges—from poor data quality to inefficient governance. Their journey, filled with trial and error, will guide founders on best practices for AI-ready datasets, including advanced pattern detection and anomaly recognition. We will also explore how to identify what data can be used for AI. How can the data being collected by your SaaS software be turned into an AI goldmine.

Mastering AI Hallucination: Prompting, Fine-Tuning, and Human-AI Collaboration

One of the biggest concerns in AI-generated content is hallucination—when AI fabricates information with confidence. Experts will share battle-tested techniques in prompt engineering, fine-tuning, and human-AI collaboration that have helped companies mitigate these risks.  We will also look at specific strategies to decide when to rely on prompt engineering vs. custom model training. What processes for human oversight to correct or guide AI outputs can be employed.

Beyond the MVP: The AI Trilemma in Scaling

As AI startups scale their models, they have to juggle performance, cost, and availability. We will learn how different startups tackled these trade-offs and optimized their AI systems to deliver reliable, context-aware outputs.

Orchestrating Multi-Agent Systems: Advanced AI Patterns in SaaS

We have moved on from prompt engineering. It is very clear that a single prompt will not solve all problems. We have to break down our problem so that it can be solved by a team of AI agents. What are the best practices for creating these agents. What communication patterns work best with these agentic systems. How can we setup guardrails for these agents. We will explore these and many more topics about agents in this session.

Team Building: Preparing for the AI-Driven Future

Future-Ready Workforce: Reskilling and Upskilling for AI

As AI reshapes industries, companies must ensure their teams are equipped with the right skills. What AI skills are most important. How can developers use AI to become 10x engineers. Through real stories from organizations, this panel will highlight the struggles and triumphs of reskilling and upskilling employees to thrive in an AI-driven world.

Leading & Collaborating with AI: Redefining Roles for Resilient Teams

What happens when AI takes on decision-making roles? This session will share how leadership structures are evolving with AI. Through fireside chats and roundtable discussions, attendees will gain insights into building resilient, adaptive, and trust-based teams in AI-first companies.

Why Attend?

SaaSBoomi’s tech tracks provide a structured yet flexible learning experience tailored for SaaS founders and leaders who are looking to:

  • Avoid common AI adoption pitfalls through real-world postmortems.
  • Learn best practices for UX, data, and multi-agent AI orchestration in SaaS applications.
  • Gain insights into pricing, ethical considerations, and workforce transformation as AI becomes a core part of the SaaS ecosystem.
  • Connect with experienced founders and industry leaders who have successfully scaled AI-driven SaaS businesses.

Final Thoughts

As AI continues to reshape the SaaS landscape, SaaSBoomi provides a safe space for founders to connect, explore and get equipped with tools to build, scale, and sustain successful AI-driven SaaS businesses. Whether you are at the ideation stage or scaling an AI-powered product, these tech tracks will provide actionable insights to help you navigate the challenges and opportunities of AI in SaaS. Come, engage, share and let’s make India as the SaaS and AI capital of the world.

About the author

Chaitanya Chokkareddy

CTO, Ozonetel