Internal AI Assistant for Corporate Communication
6-8 weeks
Everything in Intro, plus:
Advanced document search with context understanding- CV screening and analysis system
- Detailed analytics dashboard
- Multiple knowledge base integration
- Role-based access control
- Basic customization options
- Priority support
- Two language support
- Custom response templates
About the Project
The Internal AI Assistant transforms how companies manage and share internal knowledge using a smart Slack-based system. This solution integrates smoothly with existing corporate communication tools, giving employees quick access to technical documentation, HR information, and recruitment support. It prioritizes security and answers questions while learning from each interaction. Over time, it becomes more effective with the help of detailed analytics and feedback.
Industry: Enterprise Solutions
Solution Type: Slack-based AI Assistant
AI Technology: OpenAI GPT-4, LangChain
Other Technologies: Make.com, Google Workspace
Integrations: Slack, Google Drive, HR Systems
Problem Statement
Challenge Description
Modern companies struggle to manage internal knowledge effectively. Technical sales teams spend hours digging through documentation to find answers for clients. HR teams repeatedly respond to the same policy questions, while recruitment teams manually screen countless CVs. Meanwhile, IT departments struggle to manage and secure access to sensitive documents.
Document security is another critical concern. Traditional file-sharing methods allow sensitive information to be downloaded and shared externally, increasing the risk of data leaks. Additionally, companies lack insights into the most frequently accessed or sought-after information, making it difficult to enhance their knowledge base.
Without a centralized and secure system, businesses waste time, face data security risks, and miss chances to improve processes based on real employee needs.
Key Pain Points
- Excessive time spent searching through multiple knowledge bases
- Security risks from widespread file sharing
- Repetitive HR queries consuming team resources
- Time-intensive CV screening process
- Lack of insights into information needs
- Inconsistent access to company knowledge
Specific Goals
- Create secure, central access to company knowledge
- Automate responses to common HR queries
- Streamline the CV screening process
- Implement detailed analytics on information requests
- Maintain strict security protocols
- Enable continuous system improvement
Solution Overview
We created an AI assistant that works directly within Slack, offering employees a familiar and easy-to-use interface.
It uses natural language processing to understand questions and provides access to specific information securely,
without sharing entire documents.
AI Technologies Used
- OpenAI GPT-4 for natural language understanding
- LangChain for knowledge base integration
- Custom embeddings for semantic search
- Neural search for CV matching
- Analytics pipeline for continuous improvement
Key Features
- Instant document search and response
- Secure information access control
- Automated CV analysis
- Comprehensive usage analytics
- Multi-platform support potential
High-Level Architecture
- Communication Layer (Slack interface)
- Knowledge Processing (Google Drive integration)
- Analytics System (Usage tracking and insights)
Outcomes and Metrics
Expected Results
- 75% reduction in information search time
- 90% response accuracy rate
- 60% faster HR query resolution
- 80% reduction in CV screening time
Qualitative Results
- 30-second average response time
- 85% daily user engagement
- 92% information accuracy
- 85% HR query automation
- CV screening reduced from 30 to 5 minutes
- 88% user satisfaction rate
Lessons Learned
Key Insights
- The choice of Slack as the primary platform proved excellent because employees already use it daily.
- Using Make.com made the system highly adaptable with minimal coding required.
- The system's analytics revealed unexpected patterns in information needs.
- Strict role-based access increased information sharing due to enhanced trust.
Best Practices Identified
- Implementing a regular content update system improved accuracy by 45%.
- Phased rollout with initial champions ensured an 85% adoption rate in two months.
- Transparent security systems increased trust among teams.
- Regular performance reviews refined the AI's responses by 40% over six months.
3-4 weeks
Core Features:
- Slack integration with basic AI assistant
- Document search and response system
- Basic HR information access
- Simple usage analytics
- Single knowledge base integration
- Email support
- Single language support
6-8 weeks
Everything in Intro, plus:
- Advanced document search with context understanding
- CV screening and analysis system
- Detailed analytics dashboard
- Multiple knowledge base integration
- Role-based access control
- Basic customization options
- Priority support
- Two language support
- Custom response templates
10-12 weeks
Everything in Plus, and:
- Multi-platform support (Slack, Teams, Discord)
- Advanced CV matching with skill analysis
- Predictive analytics and trends
- Custom integrations with internal systems
- Advanced security features
- Unlimited language support
- Custom AI model training
- Dedicated support manager
- Weekly performance reports
- Custom analytics dashboard
- API Access
Related Case Studies
FAQ
How secure is the system for handling sensitive company information?
What happens if the AI gives incorrect information?
How much time is required from our team during implementation?
Can the system integrate with our existing knowledge bases beyond Google Drive?
How does the CV analysis feature work in practice?
What kind of analytics and insights does the system provide?
Do we need to maintain separate knowledge bases for different languages?
How does the system handle updates to company policies or procedures?
What kind of support and maintenance is included?
Can we customize the AI's tone and response style to match our company culture?
