Effortless
October 17th, 2024
Bay Area
Fewer Things… But Better
Levi’s Stadium, Santa Clara
10:00 AM PDT
Date
October 17th, 2024
Time
10.00 AM - 5.30 PM PDT
Location
Levi's Stadium, Santa Clara
An Essential Convergence
For the past 3 years, we've witnessed unprecedented change driven by AI advancements. We've focused on finding the missing links between support hardships, end user engagement, and product promises. Interestingly, we found out that its 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. This graph is your compass for navigating the sea of change in our AI-transformed landscape.
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 earn our ARR.
Because we’ve to simplify.
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 replace 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.
Discover
- AgentOS
How AI augments your people in the agentic enterprise - Leading through change
What zero-risk one-click migration could look like for you - Case Studies
How multi-million dollar Zendesk and Service Cloud transitions were done
Inspire
- Productivity
What collaboration beyond Slack and Teams looks like with SaaS 2.0 - Sharing
What knowledge discovery could look like with modern search and analytics - Learning
How users, support agents, PMs, and developers learn together… and fast!
Participate
- Hands-on workshops
Try out ways to include good design thinking when implementing AI, for systems, org and process. - Panels
Learn about change, knowledge graphs, ROI of AI, and AI in life sciences - Certifications
Bring your practitioners along, so they can learn to finetune search, build dashboards in minutes, and prompt foundation models for personalized workflows
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
Have Questions?
Effortless welcomes a diverse community of tech enthusiasts, from Support and CX Leaders to Product and Engineering leaders - in short, all stakeholders who are using or learning AI and design to make their lives a little easier, somewhat less effortful and a bit more delightful.
