APJ AI Services

Transform your software delivery lifecycle with APJ's production-ready AI agents and consultation services. From AI-assisted development to intelligent document processing, we deliver measurable efficiency gains across Financial Services, Public Utilities, Smart Healthcare, and Smart Transportation.

SmartDoc — High-Precision Intelligent Document Processing

VLM-Powered OCR, Classification & Analysis. SmartDoc leverages the latest Vision-Language Models (VLM) to process complex enterprise documents with no exhaustive training required.

Core Capabilities

High-Accuracy AI OCR: Extract structured data from scanned PDFs, images, and mixed-format documents
Intelligent Document Splitting: Automatically identify document boundaries and separate bundled files
Smart Classification: Auto-categorization and custom taxonomies
AI Smart Assistant: Ask natural-language questions about any document in your ecosystem

Technical Architecture

JSON Schema Output: Structured extraction with confidence scores, layout analysis, and key entity recognition
Prompt-Driven Configuration: Define extraction rules via natural language prompts — no model retraining needed
Supported Inputs: PDF, Word, Excel, scanned images, and mixed-modal document batches

Enterprise Knowledge Base (RAG) — Multi-Tenant Knowledge Intelligence

APJ’s AI Knowledge Base Agent delivers secure, context-aware enterprise search and Q&A. Built for multi-ODC environments with strict data separation between organizations.

Architecture Highlights

Multi-KB / Multi-Org Tenancy: Complete isolation between organizational knowledge bases — no data leakage across tenants
Advanced RAG Pipeline: Intelligent retrieval with source attribution and reference linking to original documents
25+ Years of Institutional Knowledge: Proven ingestion of massive historical ticket databases (e.g., 25-year support history) for intelligent maintenance assistance

User Experience

KB Copilot Interface: Chat-based interaction with conversation history, collections, and contextual follow-ups
Reference Integrity: Every answer cites source documents with direct links to original KB files
Cross-Modal Retrieval: Query across text, visual, and tabular content within a single conversation
Multi-Modal User Support: Support various document format

eMeeting — AI Meeting Assistant

Fine-Tuned Transcription, Summarization & Action Extraction. eMeeting captures, transcribes, and synthesizes your meetings with fine-tuned AI models optimized for precise transcription in multilingual enterprise environments.

Capabilities

Precision Transcription: Fine-tuned AI model for high-accuracy speech-to-text, even with technical terminology and mixed-language discussions
Intelligent Summarization: Auto-generated meeting summaries with structured sections:
- Meeting objectives
- Key discussion points
- Decisions made
Action Item Extraction: Automatic identification of tasks, owners, and deadlines with KB context enrichment
Knowledge Integration: Summaries are cross-referenced with the Enterprise KB to surface relevant background documents and historical decisions

Workflow Integration

Native integration with Microsoft Teams and video conferencing platforms
APJ Toolkit integration for seamless access within your intranet

AI-Assisted Software Development Lifecycle — GitHub Copilot Enablement

Move beyond basic code completion. APJ provides consultation services to systematically integrate AI across your entire Software Development Lifecycle — from requirements to deployment.

What We Cover

Requirements: NLP-powered user story generation and use-case diagram creation
Design: Automated design suggestions, UI prototyping via Figma.AI, prototype-to-frontend code generation
Development: Code generation, refactoring, bug detection and fixing
Testing: Test case generation, automated testing, performance testing
Project Management: Task automation, documentation, cost estimation, smart scheduling

Deployment Options

Cloud: GitHub Copilot + GPT-5 / Claude 4 / Gemini 3
On-Premises: Self-hosted latest Open Source Model (e.g. Qwen 2.5/3, DeepSeek R1/V3, etc. ) with full data and code security control

Proven Results

25% average efficiency gain across all project stages
71% AI adoption rate achieved in live ODC environments
200+ man-days saved monthly during peak delivery cycles
Defect leakage reduced from 7.26% to 4.34%

AI-Assisted Automated Testing Platform (ATP)

ATP replaces slow, error-prone manual testing with an AI-driven Harness Engineering pipeline that covers requirement understanding through self-healing execution. Seamlessly integrate with your existing CI/CD toolchain to achieve faster feedback, broader coverage, and lower defect escape costs.

The AI Testing Advantage

Traditional Manual Testing	AI-Powered Automation Testing
Slow & Time-Consuming	Faster Results & 24/7 Operation
Prone to Human Errors	Better Quality & Smart Insights
High Cost & Low Efficiency	Lower Costs & Smart Savings

Multi-Source Integration

Code Repository — Sync test cases with version control
Defect Management Tool — Auto-correlate failures with existing bug tickets
CI/CD Pipeline — Trigger execution on build completion
Test Data Management — Dynamic data binding from centralized sheets
Monitoring & Alerting — Real-time dashboards and notification hooks

Key Benefits

Efficiency	Accuracy	Cost
7×24 automated execution	AI smart assertions reduce false positives/negatives	50%+ reduction in human effort
70%+ test cycle reduction	Comprehensive boundary-case coverage	Lower defect escape cost
Rapid feedback accelerating iteration	Continuous learning — coverage improves over time	Long-term ROI significantly improved

Proven Metrics

Near-zero headcount increase while scaling test coverage
90% unit test coverage via automation in integrated ODC deployments

DBConvertor — AI-Powered Database Migration

DBConvertor is a Multi-AI-Agent system that automates complex database migrations with built-in self-verification. It handles enterprise-scale schemas, including extra-long source code objects that traditional tools fail to process.

Key Features

Multi-Agent Orchestration: ACE Agent coordinates specialized MCP servers
Extra-Long Code Handling: Seamlessly migrates stored procedures, functions, and triggers exceeding 3,000+ lines of code
Auto Unit Test Generation: Automatically creates and executes test cases to verify functional parity between source and target databases
Self-Verification Engine: Compares execution results across source and target databases with pass/fail consistency checks

Proven Efficiency

Automated migration of database objects with auto-generated unit tests
Real-time result panel showing source vs. target execution consistency

Migration Coverage

Object Type	Auto-Migrate	Auto-Test
Tables & Schemas
Functions
Stored Procedures (3000+ lines)
Views & Indexes

CV Search — AI-Powered Talent Acquisition

Natural Language Resume Screening at Scale. CV Search transforms recruitment from manual document review into an intelligent matching engine. Process tens of thousands of resumes via natural-language job requirements and receive ranked, scored candidate recommendations with actionable interview insights.

Core Capabilities

Natural Language Job Requirements: Create job requests by describing responsibilities and required skills in plain text — no keyword tagging required
Intelligent Matching & Scoring: AI performs semantic analysis against CV content and generates precise match scores (e.g., 85.0 pts, 75.0 pts) with ranked shortlists
Batch Resume Analysis: upload hundreds of resumes and receive complete analysis in a single task
100,000+ CV Search Capacity: Enterprise-scale indexing enabling precise talent matching across massive historical databases

System Architecture

Connected Storage: High-performance distributed file handling for bulk resume ingestion
Task Scheduler & AI Analysis Service: Asynchronous pipeline with real-time progress tracking and status monitoring
Multi-Format Ingestion: Supports PDF, Word, and plain-text resume formats

Workflow

Job Request Management — Define role requirements and responsibilities
Batch Upload — Drag-and-drop resume folders into connected file management
AI Analysis — System auto-analyzes all resumes against the job request
Review Results — View scores, read AI-generated candidate summaries, and export shortlists