Worknet

Never Work alone!

Checkout Worknet's AI agents that can proactively reach out to user when needed.

Best customer experience isn’t just about responding to questions and requests—it’s about proactively checking in and anticipating needs. Are they satisfied? Do they need anything before they even ask? Think about a great restaurant experience. The best waiters don’t just take orders; they check in to ensure everything is perfect. Proactive engagement is not easy. It requires recognizing and anticipating the right moments that customers could use help without annoying them. Take Outreach, for example. Their initial success came from enabling SDRs to follow up effectively at scale using time-based and response-driven triggers. Systematically checking in at scale can significantly impact satisfaction, retention, expansion, and trial conversions. How does your team approach proactive customer engagement at scale?

“What’s not going to change in the next 10 years?” Jeff Bezos The key to long-term success is focusing on what remains constant in your industry. According to Jeff, in retail, customers will always want: 1. Low prices 2. Fast delivery 3. A wide selection At Worknet, we believe that in customer experience, customers will always want: 1. Fast resolution 2. Be known and understood (Personalized) 3. Proactive support Would you agree?

You can now have a swarm of AI agents on your customer’s side, driving adoption, satisfaction, and growth.

Check out Gainsight's customer success index 2024.

We all expect that AI will transform how people interact with computers. Here is some potential direction. Let us know about your opinion.

Do B2B SaaS vendors truly understand their end users? For most, the answer is no! Many rely on a handful of champions, a few anecdotal insights, and CSAT or NPS surveys with single-digit response rates. The best B2B SaaS companies go a step further—they leverage product usage data to build meaningful customer segments. But here’s the challenge: turning these insights into real influence over end-user behavior often relies on email campaigns or synchronous meetings—methods that are neither scalable nor particularly effective. It’s time for a better way to engage and empower end users at scale!

How hard can it be to add a few new user licenses? Apparently, harder than it should be—both for the customer and the vendor (depending on the vendor, of course). Here’s what happened: - No self-service option. - No bots to resolve it. I reached out to support, chatted with a bot, and was told to open a case. After opening the case, a service agent scheduled a call with me. After 15 minutes on the call, the agent simply forwarded my request to the Account Executive (AE). Now, I’m waiting for another call with the AE—just to get the licenses added. This highlights a critical gap: most systems struggle with requests that require collaboration across departments. They’re great at funneling issues to customer support (and sometimes deflecting them), but they often fail when a request needs to move outside the support team. Studies and anecdotes suggest that around 20% of support cases aren’t actually support-related. Imagine the wasted time for support teams and the frustration for customers. Have you faced something similar?

Last week, one of our customers pointed out that RAG (Retrieval-Augmented Generation) is becoming a commodity in the GenAI realm—something I’ve been thinking about for a while. We’re seeing firsthand how RAG delivers significantly more value than classic keyword search. Personally, I’ve almost stopped using Google—tools like ChatGPT and Perplexity significantly outperform traditional search engines. But when it comes to applying GenAI in businesses, RAG is just the starting point. The real game-changer lies in high-value scenarios such as: - Enforcing company guidelines and playbooks through GenAI to ensure consistent behavior. - Accessing systems like CRM, data warehouses, logging, or payments to read data and take action. These capabilities boost productivity, and the potential is massive. Excited to see where this journey takes us next! ??