Strategic Blueprint 2026

The Grand Design
of Agentic AI.

Architecting a new frontier where conversation dissolves into autonomous execution. A comprehensive framework designed to scale expert intelligence across industries—starting with our surgical focus on Medical Industry Excellence.

Multi-Industry
Visionary Scope
Agentic Logic
Core Foundation
Medical MVP
Q1 Milestone

More Sales. Lower Cost. Better Experience.

Our agentic AI chatbot delivers real business outcomes — helping you convert more customers, reduce operational workload, and scale effortlessly.

Customer Experience

Instant, personalized conversations

Customers receive instant, consistent responses without repeating themselves. The AI adapts to preferences and communication style, creating a natural interaction experience.

Delivering measurable impact across your operations:

  • Instant response -> higher satisfaction
  • Personalized interaction -> stronger trust
  • Reduced drop-off from waiting time
Customer Experience

See How It Works in Real Business Scenarios

From conversation to transaction — fully automated, context-aware, and business-ready.

Medical Agent
Online
Today
Type a message

What AI Does

Extract Intent

Recognizes anti-aging consultation request.

Parse Document

Reads and understands uploaded PDF lab results.

Medical Reasoning

Runs analysis via domain-specific medical agent.

Generate Plan

Creates structured, personalized treatment plan.

Automate Closing

Calculates pricing, handles booking, and sends payment flow.

Unique Value

"AI doesn't just answer questions. It analyzes data, builds personalized programs, and closes transactions automatically."

This is not a chatbot.

This is a business operator powered by AI. It understands context, executes workflows, and drives real outcomes — from first message to final transaction.

AI Agent: Think + Act

One agent, two interfaces: customers get answers and outcomes, owners get control and insights.

Built for real operations: actions, workflows, handoffs, and measurable results.

QnA Agent Follow-up Payment Document Booking Complaint Knowledge SafetyAI AgentCORE CustomersInputs: Message, ReqOutcomes: Link, Docs OwnersOps ControlKnowledge BaseAnalytics & InsightsERPCRMPayment GatewayScheduling

Answers are instant. Outcomes are real.

QnA that feels human, consistent, and on-brand

Smart follow-ups that don't feel spammy

Payments in-chat (links, confirmations, reminders)

Document generation on demand (proposal, invoice, summary)

Integrated bookings and service actions (appointments, orders)

Complaint handling with escalation to a human when needed

Customers don't just 'chat'. They complete the journey.

WIZARD_OS v2.0

From Zero to Full Agent

Experience our onboarding wizard. Create a specialized AI agent for your business in less than 2 minutes.

From Zero to Fully Agentic in <1 Hour

Forget months of development. Our Wizard Onboarding guides business owners through a conversational setup that builds a specialized, data-connected agent in minutes.

Adaptive Templating

The system detects your industry (e.g., Automotive) and auto-loads relevant tools like 'Test Drive Booker'.

Instant Verification

Upload raw PDFs (brochures, price lists) and watch them turn into active knowledge graphs instantly.

One-Click Deployment

Scan a QR code to bind the fully trained agent to your official WhatsApp Business API number.

Under The Hood

The Agentic Architecture

A multi-tiered cognitive system designed for autonomy, safety, and deep specialization. Built on a highly scalable swimlane architecture.

Click on Agent blocks to inspect actual System Prompts
Ready / Active
Planned / Roadmap

1. Channels & Interface

Input Layer. Entry point dari semua interaction. Normalizes incoming payloads into a standard format.

WhatsApp

Waha API

Internal Ops

Admin UI

Web Widget

React SDK

Meta

FB & Instagram

TikTok

DM / Comment

Others API
(Future Integration)

1.5. Filtering & Security Gateway

Clean, protect, and assemble messages sebelum AI reasoning.

Payload Normalizer

Unify schema, Dedupe ID

Multimodal Pre-Processor

Detect & store attachments

Message Buffering

Group rapid messages (10-30s)

Spam & Abuse Filter

Detect blasts, heuristic score

Rate Limiting

Per user/tenant throttling

Security Guardrails

Prompt injection, limits

OUTPUT TO L1 (PAYLOAD)
sanitized_messagemerged_turnattachments_manifestsecurity_flagsrate_limit_statustrace_id

2. Central Orchestration (L1)

Decision Layer (Think, Route, Control). Handles intent classification, safety checks, and handoff logic.

Moderation Layer

Safety & Guard

Fallback Logic

Soft rules & Handover

3. Sub-Agent Tools (L2)

Extensible and modular deterministic functions invoked by the Orchestrator to perform real actions.

UTILITY SUB-AGENTS

Slot Checker

Finds available time

Geocoder Agent

Location mapping

Payment Agent

Handles tx flow

TRANSACTION / ACTION

Booking Creator

Inserts to DB

Order Executor

Process order

Invoice Generator

Creates invoice

DOMAIN AGENTS

Vehicle Matcher

Auto Catalog

Other Domains

Placeholder

Add More Domain Agents
(Dynamic Expansion)

4. Hyper-Specialists (L3)

On-Demand Specialized Agents. Spawn heavy reasoning LLMs only when needed for deep domain logic.

Legal Contract Spec.

Clause risk, compliance

Financial Specialist

Audit, tax reasoning

Other Domain Spec.

Placeholder

5. Data, Memory & Integration

The persistence and connectivity foundation. Where all context is stored and external systems are accessed.

CORE PRIORITY

1. Transactional Data

PostgreSQL

2. Short-Term Memory

Session Context

3. Long-Term Memory

User Memory / Summary

4. AI Layer

LLM (Gemini / GPT)

RAG LAYER

Vector DB

Embeddings

Document Loader

Keyword to Full Doc

INTEGRATION

API

External Endpoints

MCP

Context Protocol

Technology behind the intelligence

Built on a Production-Ready AI Stack

A carefully selected technology stack designed for speed, scalability, and real-world execution — not just experimentation.

n8n
Google Gemini
Supabase
PostgreSQL
pgvector
Next.js
React
TailwindCSS
n8n
Google Gemini
Supabase
PostgreSQL
pgvector
Next.js
React
TailwindCSS
n8n
Google Gemini
Supabase
PostgreSQL
pgvector
Next.js
React
TailwindCSS
n8n
Google Gemini
Supabase
PostgreSQL
pgvector
Next.js
React
TailwindCSS
WhatsApp (Waha)
Meta API
TikTok API
Node.js
Vercel / Cloudflare
Docker
REST API
Webhook
WhatsApp (Waha)
Meta API
TikTok API
Node.js
Vercel / Cloudflare
Docker
REST API
Webhook
WhatsApp (Waha)
Meta API
TikTok API
Node.js
Vercel / Cloudflare
Docker
REST API
Webhook
WhatsApp (Waha)
Meta API
TikTok API
Node.js
Vercel / Cloudflare
Docker
REST API
Webhook
LayerTechnologyRationaleStatus
Orchestrationn8n (self-hosted)Flexible workflow engine, modular, scalable
Live
LLM PrimaryGemini FlashFast, cost-efficient, multimodal
Live
LLM SecondaryGemini Pro / ThinkingDeep reasoning & complex generation
Live
DatabaseSupabase (PostgreSQL)Unified data layer with built-in security
Live
Vector / RAGpgvector (Supabase)Native vector search without extra infra
Live
FrontendNext.js + React + TailwindFast UI, scalable, modern stack
Live
Channel (Primary)WhatsApp (Waha)Stable, production-ready
Live
Channel (Expansion)Meta, TikTok, Web WidgetMulti-channel roadmap
Roadmap
Monitoringn8n logs + custom dashboardLightweight observability
Live
Monitoring & Alert System

Production-grade observability designed to detect issues before users feel them.

Monitoring is not optional at scale. When the system handles dozens to hundreds of tenants, it becomes the backbone of operational excellence.

Granularity

Track per workflow, per node, and per tenant to isolate issues instantly.

Proactivity

Detect anomalies and bottlenecks before users ever complain.

Actionability

Alerts trigger specific recovery actions, not just noisy notifications.

Latency spike detected
Cost anomaly
1. REAL-TIME INGESTION
Workflow Logs
Node Metrics
LLM Calls

Alert Evaluation Engine

Query
Compare
Aggregate
Dedupe
Route
3. ACTION ROUTING
CRITICALWhatsApp / PagerDuty
WARNINGEmail / Dashboard
INFODashboard
ESCALATIONTicket System
Faster issue resolution
Lower downtime
Stable SLA

What We Track

Everything from a single API call to high-level business metrics.

Workflow Level

Every user interaction is tracked as a full execution. Full visibility from message to response.

Execution ID
End-to-end traceability for every single interaction.
Total Duration
Overall latency monitoring to ensure fast response times.
Status
Success or failure state of the entire workflow.
Cost/Interaction
Precise token and API cost tracking per conversation turn.
Tokens Usage
LLM token counts (prompt + completion).
Delivery Status
Confirmation that the user received the final reply.

Automated QA & Reliability Testing

To ensure consistent performance across all agents, the system runs automated QA workflows continuously. No manual testing required.

Test Scenarios
Evaluation EngineChecking Pass/Fail, Accuracy, Latency
Pass Rate
99.8%
Auto-validated
Avg Response
1.2s
Within SLA limit

What QA Covers Automatically

  • Technical stability (latency, failure)
  • Persona & tone consistency
  • Business logic accuracy
  • Edge case handling
  • Long-term memory recall

Reliable by Design.
Not by Luck.

Production-grade safeguards built directly into the core, ensuring your business scales without friction.

Issues detected before users notice
Performance continuously tested
Every agent accountable and measurable
System improves over time automatically
Enterprise Grade

Security, Risk & Compliance

Enterprise-grade safeguards to ensure safety, privacy, and reliability at scale.

Security & Defense

Protecting the system from abuse and malicious inputs.

  • DDoS protection
  • Rate limiting
  • Prompt injection guard

Data Privacy & Access

Ensuring data is secure and isolated.

  • Role-based access (RBAC)
  • Tenant isolation
  • PII protection

Compliance & Audit

Full traceability across all interactions.

  • Execution logs
  • Immutable audit trail
  • Activity tracking

Monitoring & Risk Detection

Detect issues before they impact users.

  • Real-time monitoring
  • Alert system
  • SLA tracking
Continuous Improvement

Gap Assessment

From current state to production-grade system — here's what we are actively improving.

Messaging & Input

WhatsApp payload inconsistency

Parsing mismatch affecting routing

🔧 Fixing

Multimodal buffer handling

Image + text synchronization issue

⚠️ Improving

Intelligence & Memory

Smart RAG Implementation

Enhancing retrieval precision and relevance

🚧 Enhancing

Long-term memory

Context retention across user sessions

🚧 Enhancing

Orchestration & Tools

Document Generator Sub-agent

Automated dynamic document creation

🚧 Building

Cross-agent context sync

Context sharing across sub-agents

🚧 In Progress

Security & Protection

Vulnerability Patching

Addressing known security patches

🔧 Fixing

Data Encryption

Hardening tenant data encryption

🚧 Hardening

Infrastructure & Reliability

Infrastructure SLA & Stability

Resolving downtime and latency spikes

⚠️ Improving

Monitoring coverage

Not all workflows fully tracked

🚧 Expanding

Product & Scalability

Self-service Onboarding

Automated tenant setup wizard

🚧 Building

Multi-tenant isolation

Hardening tenant-level separation

🚧 In Progress
5 tenants live[LIVE]
Monitoring live[ACTIVE]
95% automation target[ON TRACK]
<10s response SLA[MET]

Execution Timeline 2026

A structured rollout from stabilization to scale — turning architecture into real business outcomes.

Stabilization & Debugging

Focus: Fix core instability and infrastructure issues

Now (In Progress)

Fix WhatsApp payload inconsistency

P0
In Development

Enhance multimodal buffer handling

P1
In Development

Vulnerability Patching

P0
In Development

Infrastructure SLA & Stability

P1
In Development
Next (Planned)

Monitoring coverage (workflow & node)

P2
Up Next
Done

Decision Window: Build the Category Leader

CSI already has proven outcomes. The next step is disciplined scale: stabilize platform core, launch wizard-led onboarding, and convert operating excellence into repeatable SaaS growth.