AI-based document workflow assistant
A telecommunication leader from the US approached us to resolve the internal documentation flow efficiency issue.
USA
Telecommunication
Since 2023
Highlights in figures
| 20% | conversion rates increase |
| 40% | call center load decrease |
Challenge
Key features
Enhanced data security
- The tool operates in isolation, granting clients complete control.
- Prevent data leaks and bolster internal information security.
- Ensure safe interaction with documentation, maintaining the confidentiality of sensitive data.
Elimination of human error
- Minimize the possibility of human error, such as inattention or inexperience.
- Free up human resources for more analytical tasks, improving overall documentation quality.
Continuous availability
- The system operates tirelessly, providing round-the-clock responses.
- Clients determine the response speed, controlling it through resource allocation and server management.
Integration capabilities
- Integrate the Document Workflow Assistant with your existing systems and applications using CSS.
- Enhance interoperability and collaboration across your organization.
Queue-free operations
- Instant responses without queuing, eliminating the need for extensive personnel.
- The tool helps to automate processes, reducing reliance on human resources.
Cost-efficient quality assessment
- Evaluate documentation quality through user queries and feedback.
- Obtain valuable insights into user interests, providing a cost-effective means of assessing documentation quality.
How it works
To users, the LLM assistant is a chatbot. It collects user input, analyzes it against the company’s documentation and generates relevant answers.
The Assistant helps both clients and staff. Customers can ask product questions, while staff can navigate around company documents. The model understands user roles, so it won’t spill out private information.
The assistant is based on a Large Language Module (LLM) as its core technology, accompanied by specific APIs for its functionality. Notably, this module operates under the MIT license, signifying no restrictions for commercial use. Therefore, this solution is ideal for commercial enterprises supporting products and companies seeking to enhance their current documentation practices.
Screenshots
Tools & technologies
Team
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Data scientist x1
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Back-end developer x1
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Business analyst x1
Results
The model was a massive success, both for sales and onboarding. Our client embraced AI early on, now they reap the benefits.