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AI Systems & Intelligent Automation

Adrianto
Tedjokusumo

Building AI-Powered Knowledge Systems &
Intelligent Process Automation

AI Consultant & Technical Program Manager
Adrianto Tedjokusumo

Adrianto Tedjokusumo

Head of Technical Program Management

Nanovest (Jun 2022 - Present)

AI Steering Committee Lead

Background

Bridging SDLC Excellence
with AI Innovation

🎯

13+ Years in Tech Delivery

From Application Engineer to Head of TPM — deep expertise in Agile, Scrum, and SDLC process optimization across enterprise organizations.

Certified Scrum Master Agile Coach PMI-ACP
🀖

AI & Automation Specialist

Self-driven AI mastery through continuous learning. Leading AI transformation as Steering Committee Lead with hands-on implementation.

GenAI & RAG MCP Protocol Agentic AI IPA

Career Highlights

Head of TPM & AI Lead Nanovest 2022-Now
Lead Principal PM Blibli.com 2019-2022
Technical Manager Ecquaria Technologies 2015-2018
🏆 CARE Awards 2024 Nominee
🏅 RESPECT Awards 2020 Nominee

The Challenge

AI Without Context
is Just Noise

Generic AI tools don't understand your documentation, APIs, or business logic. They produce hallucinations, require constant correction, and can't access your scattered knowledge across Confluence, Drive, and code repositories.

1

Fragmented Knowledge

Information scattered across 10+ disconnected tools

2

No Organizational Memory

AI doesn't know your history, preferences, or context

3

Manual Capacity Limits

80% of time on routine tasks, 20% on innovation

Context Engineering Overview

The Solution

AI Mastery Journey

Five pillars of AI understanding to solve the context problem — from foundations to production-ready agentic systems.

I

AI Foundation & Evolution

ML → DL → GenAI → LLMs → AGI trajectory

II

Process Automation

BPM → RPA → IPA workflow maturity

III

Mastering Interactions

Prompt & Context Engineering (RACE, CARE, CREATE)

IV

AI Tools Ecosystem

MCP Protocol, Claude, Gemini, NotebookLM

V

Agentic Systems

Multi-agent orchestration and autonomous workflows

AI Journey Timeline
AI Mastery Journey Overview

Intelligent Process Automation

From Manual Tasks
to AI Workflows

Production n8n automations running 24/7 — combining AI classification, document generation, and multi-system orchestration to eliminate repetitive work.

1

Design the Process

BPM to identify bottlenecks and strategic opportunities

2

Automate the Routine

RPA for repetitive, rule-based execution

3

Add Intelligence

AI for classification, generation, and decisions

4

Orchestrate End-to-End

Multi-system workflows with human oversight

4 Steps to IPA
BPM RPA IPA Journey
BPM RPA IPA Examples

Flagship Project

Archon Platform

The command center for AI-assisted development. A centralized knowledge management platform connecting AI coding assistants to your organization's documentation, code repositories, and project context.

4,000+
Pages in 15 min
<500ms
Search Response
90%
Bandwidth Saved
Hybrid RAG MCP Protocol Confluence Sync Vector Search Production Ready
Archon Knowledge Base
Archon Docs Chunks and Code Examples
Archon Task Management
AI Ideation Architecture
Archon Platform Roadmap

Production Automations

n8n Workflow Projects

Running in production, delivering daily value.

📈

Stocks Hot Now

Automated stock intelligence pipeline. 10 RSS sources, AI-powered filtering, ticker analysis, and executive briefs delivered to Slack daily.

Stocks Hot Now Workflow
Stocks Hot Now Slack
Stocks Hot Now Apps
10
RSS Sources
4
AI Models
15min
Execution
Gemini Pro Crawl4AI Slack
📄

Legal Docs Generation

6 interconnected workflows for document generation, two-stage approval (Finance → Legal), AI-powered revisions, and Dropbox Sign integration.

Legal Docs Workflow
Legal Docs Slack
Legal Docs Generated
6
Workflows
136
Nodes
95%
API Reduction
AI Revision E-Signature Slack Approval
🔔

Exchange News Alerts

Cryptocurrency exchange monitoring. Multi-source RSS aggregation, AI classification for operational relevance, and Opsgenie alerting.

Exchange Alerts Workflow
Exchange Alerts Slack
Exchange Alerts Opsgenie
5
Exchanges
P1-P5
Priority Levels
1h
Schedule
RSSHub Gemini Opsgenie

Engineering Infrastructure

Supporting Systems Built

Tools that power the AI ecosystem.

🔌

MCP CLI Installer

Interactive CLI for installing and managing internal MCP servers. Bitbucket, Atlassian, Google Workspace, Datadog, Sentry, SonarQube integration.

Claude Usage with MCP
Claude Desktop Auto-update
📊

Coding Metrics System

Git hooks + FastAPI backend for tracking developer coding time. Bitbucket validation, Google Sheets reporting, validation dashboards.

Pulled Data in Sheets
Subtask Cycle Time
Git Hooks FastAPI
🕷

Atlassian Crawler

Specialized Confluence crawler for RAG knowledge-base creation. HTML to Markdown, webhook sync, and Google Drive storage.

Confluence Crawl Add Source
Confluence Crawl Result
RAG-Optimized Webhook Sync
⚙

Google Apps Script CLI

Complete CLI workflow for GAS development: interactive init.sh for project setup, deploy.sh for automated .js→.gs conversion and clasp deployment, secrets management via .env to Script Properties, and trigger configuration.

Init CLI
Deploy CLI
Clasp CLI Git Workflow Secrets Management

Partnership Value

How I Can Help KAIZEN

Specific integration opportunities for Toppan Ecquaria's platform.

KAIZEN Current With AI Expertise Business Value
Basic RAG implementation Three-way hybrid search (BM25 + Vector + Graph) 30-50% quality improvement for relationship-heavy queries
Ask KAI (generic chatbot) Personalized AI with user memory 60% relevance improvement (research-backed)
AI Agent Builder MCP Protocol for AI IDE integration First low-code platform with native MCP support
Document management Semantic knowledge layer + Confluence sync 4,000+ pages indexed in 15 minutes
Government workflows Neo4j GraphRAG for relationships Multi-hop queries: dependencies, case flows, approvals
SDLC process (ideation to production) TPM expertise + AI-Driven Development + AI-enhanced CI/CD Accelerated delivery with quality gates and automated workflows
LLM API costs Fine-tuned SLM models (specialized, comparable to LLM) Reduced costs + enhanced security with on-premise deployment
Agentic AI systems AI Observability & Evals framework Measurable performance, reliability tracking, continuous improvement

"Government domain is relationship-heavy. GraphRAG is the right architecture for judiciary, licensing, and healthcare domains where entities connect across cases, applications, approvals, and decisions."

Engagement Models

Partnership Options

Flexible approaches to fit your needs.

🎯

Consulting

  • RAG architecture review & design
  • Implementation guidance
  • Best practices transfer
  • Technical workshops
🎓

Training & Knowledge Transfer

  • RAG/LLM best practices sharing
  • Prompt & context engineering
  • n8n automation workshops
  • Team enablement sessions

Next Steps

Let's Build Something
Extraordinary

Ready to explore how AI can transform KAIZEN's capabilities?
Let's discuss your specific needs and chart a path forward.

Start the Conversation →
Role
AI Consultant & TPM
Focus
RAG, IPA, Agentic AI
Available
Immediate