An Essential Convergence For Change

Effortless is the only industry conference that brings AI and Design together, so machines work with humans seamlessly, giving our nights and weekends back. For the past 4 years, we have focused on finding the missing link between support hardships, end user engagement, and product promises.

Interestingly, we found out that it’s a bunch of links, and piecing them all together surfaces a powerful knowledge graph — one that connects customers, their users, their sessions, their tickets and conversations to product, its features, its craftsmen, and its knowledge base.

Yes, customer relationship is way beyond buyers and sellers. In this conference, we will make a case for the essentials to modernize the fractured enterprise. And how AI begins with end users and customer support.

Why? Because we’ve to listen. Because we’ve to simplify. Because India 1.0 is behind us.

India 2.0

Scale. Precision. Product Nation

Almost a decade ago, the seeds of a new India were being sown with mobile, free data, digital payments, and now culminating in quick commerce, EVs, and China +1 strategy. There is a new GCC — Global Competency (Capability) Center — opening every day in a country poised to become the world’s 3rd largest economy in the next 3 years.

Voice and video have taken professional work to almost every city in the country. The fountain of youth is pouring at a brisk pace from colleges to GCCs. And while standards of living rise, the quality of higher education is getting noisier at best, and cities are becoming expensive.

Before India gets old, it must get rich. Building great products — and leveraging AI for smarter services — for the planet is the only way out. Like landlines, India will skip the stodgy, expensive, and slow SaaS 1.0 and leapfrog to next-generation SaaS, which is mobile-native, cloud-native, and AI-native.

India deserves a modern business operating system.

SaaS 2.0

Simpler. Faster. Sentient.

The complexity of the enterprise doesn't have to reflect in the way users interact with their apps. When the Buy Now Pay Later giant Klarna announced that they are shutting down their Salesforce instance — because AI has catalyzed a redesign of their enterprise — the market was puzzled.

Yet at DevRev, we appreciate where they are coming from. SaaS 2.0 is upon us. What the Internet did to on-prem software, AI will do to complex, expensive, heavyweight SaaS 1.0 apps designed and built two decades ago.

For every $1 of SaaS license, $4 are spent on implementation and maintenance — a whopping $1 trillion every year to care and feed behemoths that are barely helping with customer churn, operating costs, and revenue clawbacks. This is the opportunity for SaaS 2.0: doing more so you can do fewer things but better.

Effortless will make a case that AI has to be reductive. It must take things away, including replacing existing apps, to clear the clutter on our desks. We must also reduce, in many cases by 10x, the number of call center calls, support emails, messages, tickets, alerts, incidents, and clawback dollars.

And for what remains, AI agents — designed with intention to be fast, accurate, and personalized — can deflect, route, and generate effortlessly.

Support and CX Leaders

AI-native CX goes beyond ticketing

Self-service The workhorse of AI is search, KBs, and agentic workflows… and of course, conversational foundation models Customer 360 It shouldn’t take millions to build and nurture these insights. Give us feedback on modern analytics in SaaS 2.0, including for billions of user sessions Reactive-Proactive-Predictive Are we there yet? Why not? How data and machine intelligence play a huge role in reducing incident noise and response times Migration and Implementation Costs Is there a better way than spending $4 for every $1 of software license? How do we make this outcome-based?

Product and Engineering Leaders

Modern Product Management goes beyond epics, user stories, and user analytics

Product-led vs. Project-led Aren’t we past Agile? What is Essentialism, i.e., less = better? How product labeling engenders AI thinking. Customer-centricity 1-click clustering and triaging, customer-aware sprints, session analytics, and real-time routing Developer 360 How PMs work with Engineering leaders on capital allocation, focus, and productivity Self-service sales Protect PMs’ time with self-service sales. Discover how search and analytics play a huge role in both sales-led and product-led go-to-market motions in SaaS