Get LLM Ready
Challenges with Generative Models
ChatGPT and generative LLM based chatbots do not know your business domain and the ever changing business rules.
It can hallucinate and give plausible yet incorrect answers or even go rogue.
It is a blackbox with no observability monitoring.
{"prompt”:”intent=Order Cancellation Requests email=john.doe@example.com, order number=100100, date=01-05-2023, status=shipped, product name=knit black jacket->”, "completion":"Unfortunately we can cancel the order only for 2 hrs from placing the order. You may return it back to us for a refund once it’s delivered."}
Setup Your Data to Try Generative Models
Automatically generate conversation flow prompts from millions of live agent chat transcripts to fine tune generative models like ChatGPT to use in your domain and use case.
Get Back Control of your Chatbot
Analyze how users interact with your bot and audit automated conversations for policy adherence and safety. Diagnose errors, surface conversations gone rogue and build trust and adoption of your chatbot.
Continuous Improvement
Adapt to a constantly shifting business environment, such as when you modify your return policy during the holidays. Rapidly identify failures and fresh opportunities for automation, build a data feedback loop to fine tune your bot and monitor the impact of these actions.
