CRM AI vs. Specialized AI—an honest take:
✅ CRM AI works for: B2C, high-volume FAQs, chat/email only
🚀 You need more when: B2B complexity, AI must take actions, engineering integration matters, voice AI needed
CRM AI stays in the box. Specialized AI connects everything.
Just shipped: "Revise" ✨
Now you can fix any AI chatbot response in one click — and your bot learns immediately.
No code. No engineering tickets. Just better answers.
Myth: Proprietary models like GPT-5 still dominate CX automation.
Reality: Open-source LLMs—like Kimi-K2, DeepSeek, Qwen3, and GPT-OSS—are now meeting (or beating) closed giants on real-world customer experience tasks. And they’re doing it for a fraction of cost. 🧵
🚨 Think AI is about to replace customer support? Not quite—yet.
AI is amazing at turbocharging support teams. It automates responses, reduces wait times, and helps agents focus on tricky stuff. But here's the truth: AI hallucinations can create more chaos than they solve. 🧵
Check out our new report on The Future of Customer Support in 2025 🚀
✅ The rise of AI-powered self-service
✅ Emotional AI and sentiment analysis for personalized interactions
✅ Omnichannel AI strategies driving seamless CX
https://t.co/wkOqxsW7jR
At first glance, this screenshot from @amazon's #support#Chatbot might seem amusing, but it underscores a deeper issue: the current state of #GenAI customer support. Many organizations attempt to build in-house AI solutions without adequately fine-tuning them or implementing essential #guardrails. The outcome?
A modern-day equivalent of SQL injection attacks—LLM (Large Language Model) injections—which can lead to embarrassing and costly missteps in customer interactions, like the one shown here.
To avoid your customers sharing screenshots like this, it's essential to invest in a well-crafted solution. @IrisAgent2's chatbot, unlike Amazon’s, is rigorously fine-tuned, ensuring accurate and reliable responses. Our proprietary LLM, backed by a powerful multi-engine setup, guarantees that #hallucinations are avoided, giving you peace of mind and a smooth customer experience.
See the difference for yourself - https://t.co/ICAcKHhqNq.
Ref: https://t.co/iltWLJD8H8
Are you struggling with slow response times and inefficient customer support? @Zuora transformed their support experience with @IrisAgent2's AI automation - achieving 10X faster resolution times and 30% of queries handled by AI. See how they did it:
https://t.co/NgpBXLLxMq
Choosing the best #LLM for your AI #chatbot is about matching your priorities—speed, accuracy, clarity, and cost. 🚀
We've tested multiple LLMs on the customer support dataset. Discover #model recommendations tailored to your needs! 📷 📊
https://t.co/xv2kMwhrLa
Learn how IrisAgent leverages #GenerativeAI and fine-tuned #LLMs to automate #CustomerService. Shoutout to our Vector Database solution provider, @qdrant_engine in this case study https://t.co/cpvgHxlJea
Wow Klarna's AI customer support agent is able to handle 2/3rd of the requests by itself in its first month and is doing the job of an equivalent of 700 agents.
🚀 Revolutionize your #ticket#routing with IrisAgent's #ai! Say goodbye to manual ticket sorting and hello to lightning-fast routing and resolutions! Automatically tag tickets, prioritize urgent issues, and balance workloads effortlessly. Ready to revolutionize your support? 👇
Founder and CEO of @irisagent2, @PalakDalal, says gen AI is the best thing going for startups targeting the enterprise market.
Intrigued by the opportunity? Learn more ⬇️
Looking for an exciting opportunity to put your software engineering skills to work? Join our fast-growing startup! We're seeking an entrepreneurial software engineer to help drive our #AI and #GPT3 powered initiatives. Apply now! #hiring
https://t.co/dE4HEmxNop