Harness the power of your own conversational data to take a data-driven approach to monitor, launch, and optimize your bot program
Something about not taking a data-driven approach bla bla
Not enough data (transcripts to inform bot development), too much data (manual data extraction), and poor data quality (lack of proper insights)
Manually reviewing transcripts and determining how to optimize bot performance leads to wasted resources
Without data-driven metrics & KPIs, most teams find it challenging to evolve from innovation to business critical
Deploying Conversational A.I. in your organization is not a checklist. It is a flywheel that leverages data, insights, automation, reporting, and optimization in a never-ending improvement journey.
to launch a new bot use case (shortened to 2 weeks!)
with self-service experiences in 1 year
for data scientists & NLP managers
in bot program management costs (1M bot messages per month)
Unify your organization through a centralized data hub with real-time updates and reports to track chatbot performance, blend data sources, monitor success KPIs, and set alerts of underperforming KPIs.
The only tool purpose-built for visualizing and understanding the full user journey from conversations. Quickly assess the most common flows, points of frustration, anamolies and more with the ability to drill down to the transcript-level.
Automatically extract topics, intents, training phrases, entities and more from your own historical data to launch new bot initiatives in a fraction of the time through a data-driven approach.
Using advanced data science techniques & purpose-built visualizations, easily & continuously improve your bot's NLP model with data-driven recommendations and performance monitoring.