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Develop and Deploy AI-Powered Business Assistant with Slack Integration

moravio.com

Information technology

Challenges in Data Access and Decision Making

The company faces challenges in efficiently accessing and analyzing data stored in various systems (BigQuery, project management tools, recruiting databases). Current methods for obtaining insights are time-consuming and require specialized skills, hindering timely and informed decision-making. Lack of readily available data insights impacts operational agility and strategic planning.

About the Client

A company specializing in web and mobile application development seeking to improve operational efficiency, data-driven decision-making, and employee productivity.

Project Goals

Develop an AI-powered assistant to automate data retrieval and analysis.
Integrate the assistant with Slack for seamless user interaction.
Enable employees to obtain data-driven insights through natural language queries.
Improve operational efficiency by reducing time spent on data gathering and analysis.
Enhance decision-making capabilities by providing timely and relevant information.

Functional Requirements

Natural Language Query Processing (NLQ)
SQL Query Generation
Data Retrieval from BigQuery (and potentially other data sources)
Data Transformation and Presentation
Slack Integration (message sending and receiving)
User Authentication and Authorization (via Slack user groups)
Real-time response to queries
Humorous and engaging interaction style

Preferred Technologies

Google BigQuery

OpenAI GPT model

Slack API

SQL

Python (or similar for backend logic)

Required Integrations

Slack API
BigQuery API

Key Non-Functional Requirements

Scalability to handle increasing data volumes and user load
High performance for real-time query responses
Data security and access control
Reliability and availability
Maintainability and ease of updates

Expected Business Impact

The implementation of this AI-powered assistant is expected to significantly improve operational efficiency, reduce time-to-insight, and empower data-driven decision-making across the organization. This will lead to increased productivity, faster project timelines, and a more agile and responsive business environment. By automating routine data tasks, employees can focus on higher-value activities, leading to improved overall performance and competitive advantage.