Data Semantics Innovation Lab has developed a chatbot to address the complex management structure, enabling multiple user access levels for a single user. The bot further specializes in identifying the nature of the query by processing massive amounts of information to deliver relevant answers swiftly.
What does that mean?
In a typical organization, an employee can be a manager in one portal and a reportee in another portal. The newly developed chatbot smartly understands a user’s access level and delivers information based on their privileges, thus enabling information security.
How does it work?
- The user role is derived from the configuration of integrated portals at an organization.
- The bot enables configuration of custom roles to be assigned to different users.
- ‘Intents’ or in other words, the intention of your query, can be mapped to user roles, if any restrictions are necessary for the intent. For example, if you ask the bot to retrieve your personal details, the intent remains, ’fetch personal details’.
- The bot is designed to fit in any business function without any major change in its framework.
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What about conversation flows? Every organization’s complex management structure demands diversified communication models and conversation flows. The bot developed at DS Innovation Lab specializes in processing massive amounts of information and delivering it in a user-friendly manner, with reaction times faster than humans. What’s special about the bot’s conversations?- It Identifies relevant information to deliver the message in plots, so that it’s fast and easy to consume for the user.
- It delivers information from data tables, which is far more efficient than normal tables as it allows filtering and sorting by default.
- It is designed to identify the exact query, regardless of dynamic nature of questions.
- The User could access information from multiple portals seamlessly with ONE login ID The bot was integrated with different portals of the organisation which enabled the user to access different portals from single login, based on the access configuration in the portal. The bot was integrated on Zoho ERP, Microsoft Dynamics 365, greytHR and Salesforce at the same time.
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- New intents could be added easily without having to change the code or any re-deployments
- The bot could manage daily tasks like requests and approvals in a breeze
- The bot displays Power BI Reports in chat UI
- The chatbot has empathy
- Python engine which uses sequence matcher for identifying the intents.
- Google dialogue flow which is Google’s powerful engine where we can configure the intents and slots.
- LUIS, which is Microsoft’s NLP engine that detects all the intents provided.
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This post is written by Shreya Mohan from Data Semantics. She is an active developer who worked on building this chatbot. You can find her on LinkedIn or write to her via info@datasemantics.in for any further information.