Client provides enterprise-level platform to solve simple customer questions, triage tickets that need an agent and assist agents with the help of GenAi
Forethought ai users: B2B clients, from e-com, education, financial business, SaaS, traveling. All businesses which care about customer success and for whom it is important to give top-notch customer support service.
Main challenge was to achieving 90% accuracy in customer ticket resolution. AI model needed diverse, high-quality datasets to understand and respond accurately to various customer queries. Team had to invest in curating and cleaning training data, incorporating edge cases, and continually updating the dataset. We also implemented human-in-the-loop workflows where complex cases are escalated, and AI learns from resolutions
Another significant challenge for the development team was to get 90% accuracy in spam elimination. It is crucial to automate spam detection because it lowers manual review costs and effort. It is also important to supervise the results and make sure that important queries are not in spam. We used fine-tuned language models trained on domain-specific contexts
10 + Integrations.
AI trained on customers’ data, using a combination of proprietary data, customer-specific data, and extensive natural language processing techniques.
AI copilot integrated into the help desk, increase in agent productivity in 20%
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