Sapling – Language models for enterprise applications

Sapling is developing an AI assistant for business communication, one that supports teams in using various use cases to connect with their clients more effectively and efficiently.

Copilot language model for teams working with customers.

React twice as quickly. To assist sales, support, and success teams in creating personalized responses more quickly, Sapling sits on top of CRMs and messaging platforms and offers real-time suggestions. Conversational insights help managers plan and coach their teams.

Increase your customer service.

By simply clicking on real-time suggested responses, Sapling SuggestTM for chat and helpdesk tickets helps agents to reply to client inquiries more rapidly. It does this by retrieving pertinent responses from a team response bank. Instead of offering fragile, decision tree-based chatbots, empower team members to respond more quickly and handle increased inbound volumes.

Reduce the handling and reaction times.

Agents can compose responses more rapidly thanks to Autocomplete EverywhereTM, which offers deep learning-powered autocomplete suggestions on all messaging platforms. The snippet macros in Sapling make it simple to quickly insert popular responses.

Boost the quality of the language and grammar.

With the use of a machine learning algorithm that was trained on millions of English sentences, Sapling detects 60% more language quality concerns than existing spelling and grammar checkers. Communicate in a professional and consistent manner to avoid embarrassing typos and displeased clients.

Beyond offering edit suggestions, quality ratings, and error reports assist managers in locating coaching opportunities and continuously enhancing quality. Custom settings for compliance and content governance can be defined by enterprise teams.

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