KnowledgeDesk AI
AI-Powered Document & Internal Process Management for Manufacturing
Compliance, communications, and documents in one web application
What Problems Does KnowledgeDesk AI Solve
Due to chaos in data, incident reports, reporting, and communications, companies lose speed, manageability, and predictability
Employee requests pile up
Time loss
No data analysis
Errors, lack of failure prediction
Manual operations
Slow decisions
Requests not classified
Lack of transparency and structure
Disconnected systems
Risks and increased accidents
No monitoring
Difficult to control
Who Needs It
Production & Technology Department
Regulations, technical documentation, procedures
Operations / Maintenance
Inspections, monitoring, reports
Material & Technical Supply Department (MTO)
Procurement, supply
Industrial Safety & Labor Protection Department
Incident analysis, reports, safety
KnowledgeDesk AI
Smart web assistant with additional modules for compliance and corporate communications
Automatically collects and analyzes incident reports, identifies failure causes
Builds analytics on downtime and number of accidents
Automatically classifies requests and routes them to responsible specialists
How KnowledgeDesk AI Works
Sources
Indexing & Access Control
NLP / AI Analytics
Response / Action / Report
Automatically validates incident report formatting
Monitors messages, operation logs, and work data
Identifies risks, conflicts, and procedure violations in real-time
Verifies procurement information compliance with internal regulations
KnowledgeDesk AI Impact
Reduction in data processing time
Value from data structure
Reduction in unplanned downtime
Reduction in procurement errors
Pilot Project
Goals:
- Reduce time working with documents and increase failure cause detection speed
- Increase request processing speed through auto-classification and routing
What we do:
- 1 Deploy AI assistant for document work
- 2 Process and structure document corpus
- 3 Train model for business specifics
- 4 Configure web application and efficiency metric dashboards
What you need:
- Appoint a project curator and small user focus group
- Provide access to 100–300 documents for model training
Format:
- Stage 1: Data analysis and preparation
- Stage 2: Model configuration and training
- Stage 3: Web application launch
- Stage 4: Testing and feedback
- Stage 5: Report and integration recommendations
Hosting: Kazakhstan cloud / on-prem
Results:
- AI assistant prototype working for selected department and ready for scaling and integration
- Before/after report with measurable metrics
Contact
Damir Khusainov | CEO
damir@dilyasoft.pro10 years developing enterprise solutions for various industries: from finance to government
Website
dilyasoft.pro
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