Smart Search Agentic AI
Smart Search Agentic AI — Enterprise Knowledge & Analytics Platform
Project Objective: Establish a unified enterprise knowledge repository consolidating past R&D outcomes, internal document libraries, shared network drives, and external scientific and patent data.
Key System Capabilities & Architecture
Data Sources & Connectors
Automated ingestion and continuous indexing across enterprise and external sources:
Internal Sources: Intranet portals (MS SharePoint Server 2016, <100 GB), corporate document repositories (SharePoint Server 2016, ~400 GB), Confluence knowledge bases (~200 GB), network shared folders (AD-integrated access control), and local SQL databases.
Technical Architecture
Technology
Tech Platform
Digital Transformation Domain
Project Type
Service Model
Technology Readiness Levels
Software Requirements Specifications Overview
Technical Specifications & System Requirements
Target Performance Metrics (KPIs)
Business and Economic Impact
Industry
Project Status
Successfully Deployed in Industry
Digital Transformation Domain
Unit Cost
$100,000
Pricing Model
Deployment Model: Data Science as a Service (DSaaS) / Out-licensing & Milestones.
Base Unit Cost: 100,000 RUB.
Economic Impact
Business & Economic ROI
50% Search Time Reduction: Cuts document retrieval and technical verification time in half for engineering and quality management staff.
MARKET CAPABILITY & CONSUMER GROUPS
TARGET MARKET SEGMENTS
KEY CLIENT & CUSTOMERS
PROJECTED SALES METRICS
Primary User Personas
R&D Engineers & Researchers: Accessing past R&D reports, technical standards, patents, and scientific literature.
Project Managers & Executives: Locating executive summaries, final project presentations, and subject-matter experts.
Patent Attorneys & Analysts: Mapping global patent landscapes, evaluating assignees, and identifying technology trends.
System Administrators & IT Teams: Monitoring server health, reviewing Active Directory audit logs, and managing search indices.
Target Enterprise Clients
Industrial and metallurgical conglomerates, Technical Development & Quality Directorates (TDQD), enterprise R&D centers, patent law divisions, legal departments, and corporate libraries.
Operational Capacity & Scale
Enterprise-grade deployment across technical and engineering directorates, indexing 700+ GB of internal structured and unstructured data (SharePoint, Confluence, file shares, SQL databases) along with global patent and scientific registries.
Social & Environmental Impact
Social & Environmental Value
Institutional Memory Preservation: Centralizes and preserves institutional engineering knowledge, past R&D outcomes, and corporate intellectual property.
INVESTMENT RETURN & SUSTAINABILITY
PRODUCT SUPPORT COSTS
Maintenance & Support Framework
Ongoing maintenance is delivered via the Data Science as a Service (DSaaS) model. Services cover scheduled re-indexing of enterprise sources, connector maintenance (SharePoint, Confluence, Active Directory), domain dictionary updates, and infrastructure monitoring.
INVESTMENT RETURN
Investment Return & Project Roadmap
Overall Project Duration: 36 weeks (~8.5 months).
Implementation Roadmap
Careers Anchor
Executive Roles
My Companies
Career Trek
Career Recognition
Project Biography
Project History & Background
Smart Search Agentic AI was created to eliminate knowledge silos and accelerate information retrieval across large industrial organizations. The platform unifies complex internal enterprise storage (MS SharePoint 2016, Confluence, shared drives) and global scientific and patent databases (Espacenet, CyberLeninka) into a single intelligent interface.