EmailTree AI Automation
por EMAILTREE AI
Human & AI Converse with Business Applications
All-in-one platform, build your own KB and consume it in Outlook, API, RPA, etc.
Target audience:
France-Diane Hardy Director of Customer Relations in Orange Luxembourg says that the product has reduced client costs since its launch in 2018.
“95% accurate recognition of our customers' questions thanks to AI and structured answers regardless of the correspondent, in five languages and five times faster than before.”
Solution:
Use an Open Platform
Build your own Business Knowledge Base (KB), based on AI
Consume your KB where you want
Create Perfect Tickets
Deliver end-to-end automation
Augment the humans behind their screens!
With the power of AI, the application behaves like a person by accumulating knowledge from all the data the agents will have and provide.
Team Synergy
Use the brain of the tool to increase your productivity.
Constant Learning
AI results are improving, continually advancing, and learning after being used in replies, based on volume and usage.
Multiple Ways to Add Knowledge
Data may be added in a variety of methods, including pre-trained models, emails and FAQs/- Versatility
The knowledge base may support the same content in many languages and is adaptable to diverse speech tones such as emails, and chat.
Automatic reply suggestions: EmailTree will propose complex email responses, with different confidence levels, based on previously learned blocks of text which can be easily adjusted and inserted with drag and drop.
Multilingual support: reply in multiple languages.
Team management: manage users’ roles and permissions, assign users to specific categories.
Local database: easily import data such as contacts and data associated with your clients/products/services, which will be then used as variables to create custom blocks of text prefilled with data.
Built-in simple CRM: easily communicate with team members, assign and schedule tasks, set notifications.
Sentiment analysis: compute the sentiment analysis of each email to quickly identify emails received from unhappy/angry customers even before opening the email. The sentiment analysis can be beneficial to implement specific automation such as specific section/department assignment and workflows automation.
Intents detection: automatically identification of what the customer is asking and the possible actions/tasks to be executed. Using the intents, you can automate/semi-automate some tasks and workflows.
Named Entities Recognition: automatically identification of specific data such as email addresses, phone numbers, bank accounts, invoice numbers, etc. which can be used to automate particular tasks (e.g. automatic update of contact information, automatic invoice generation, etc.)
Internal automation through Actions Manager: build in automation to execute predefined tasks using a rule-based interface.
External automation through RPA: connect future/existing robots built with RPA technologies such as UiPath, BluePrism, Power Automate, AutomationAnywhere, etc.