No large IT team required
Participants learn to use Agent AI as a technical execution partner while understanding the key business logic behind what is being built.
DDEC × AINNA · PROPOSED SME AI TALENT PROGRAMME
Start small.
Build with AI.
Grow with confidence.
AINNA Agent AI is designed to make AI practical for small SMEs — helping young participants build real business websites, deploy cloud infrastructure, develop e-commerce systems and turn business data into management insight without requiring a large IT team.
NEURALOPS ACTIVE
RIGHT TASK
→ RIGHT SYSTEM
→ RIGHT MODEL
→ RIGHT COMPUTE
INTELLIGENCEAINNA Agent AIPlan · Build · Analyse
EXECUTIONDetached SystemsRules · Parser · Automation
CONTROLHuman GovernanceReview · Approve · Decide
SME-FIRST BY DESIGN
AI that helps the business.
Not AI that makes the business more complicated.
The programme starts with what an SME already has — a Company Profile, Branding Kit, product information and business data — then adds capability stage by stage.
AINNA Agent AI acts as an Assistant, Builder, Auditor and Decision Support layer. Important business decisions remain with the participant, entrepreneur and management.
Explore AINNA NeuralOps for SMEs ↗No “replace everything” approach
Existing company materials and workflows become the starting point. Systems are improved progressively rather than replaced overnight.
Human control stays central
AI can recommend, audit, automate and assist. Human review remains part of approval, governance and business decisions.
Cost-aware architecture
NeuralOps routes repetitive work to normal software, rules and automation while reserving AI for tasks that genuinely need intelligence.
PROGRAMME JOURNEY
From company profile to an AI-enabled business system.
Every stage has its own training fee. The same annual infrastructure is used throughout the journey.
01
AI Agent, Website & VPS
3 DAYSUse an existing DDEC Company Profile and Branding Kit to build a corporate website with AINNA Agent AI, then deploy it live on Tencent Cloud VPS.
02
Laravel, Product Cart & Payment
3 DAYSUpgrade the website into a business application with database, product catalogue, shopping cart, checkout, payment gateway sandbox and order management.
03
SEO, Security & AI Audit
1 DAYUse the same Agent that already understands the company and system to audit SEO, security, performance, content quality and conversion readiness.
04
AI Business Management System
3 DAYSBuild management dashboards for sales, inventory and finance, then use AINNA Agent AI as an analytical layer to help management understand what happened, why it happened, the risk and the next action.
05
NeuralOps Business Challenge & Demo Day
1 DAYParticipants integrate the complete stack and present a working business solution based on business understanding, AI utilisation, deployment, automation and business impact.
WHY STAGE 4 MATTERS
Management does not need more charts. Management needs clarity.
SMEs often have sales, inventory and finance data — but in separate systems. The programme shows participants how to connect operational data to management visibility.
What happened?Why did it happen?What is the risk?What should we do next?
AI MANAGEMENT BRIEFLIVE DATA
SALESRM 18,420+12.4%
LOW STOCK4 SKUAction needed
GROSS MARGIN34.8%Stable
Management insight: Sales improved this week, but two fast-moving SKUs may reach low-stock level soon. Review replenishment before the next campaign.
DATA→RULES→ANALYTICS→AGENT→ACTION
AINNA NEURALOPS
Use AI where intelligence is needed.
Use software where software is enough.
NEW TASKIncoming request
→
RULESCan rules handle it?
→
PARSERStructured extraction
→
DETACHEDDeterministic workflow
→
AI WHEN NEEDEDSLM → LLM
EFFICIENCY
From 32B Tokens to Near-Zero Token Execution
Read how repetitive and structured workflows are moved into detached systems to reduce unnecessary inference.
Read article ↗ DETACHED SYSTEMSAn AI-Powered Website Does Not Need AI Running All the Time
A practical explanation of separating predictable workloads from AI reasoning.
Read article ↗ ESGNeuralOps: Less Compute, Less Water, Better ESG
Why architecture matters when reducing unnecessary compute and resource usage.
Read article ↗COMMERCIAL STRUCTURE
Modular training. One shared annual infrastructure.
DDEC can implement the programme stage by stage and evaluate outcomes before continuing to the next stage.
ANNUAL INFRASTRUCTURE
± RM500 / participant / year
One infrastructure fee supports the participant across all programme stages.
- Cloud VPS
- AINNA Agent AI environment
- NeuralOps environment
- Development & deployment workspace
- Up to approximately 8 hours/day of free AI model usage, subject to usage and provider availability
TRAINING FEES
Charged separately by stage
Each stage has a different fee based on duration, complexity, participant count, trainer allocation and support requirements.
Stage 1 · 3 DaysStage 2 · 3 DaysStage 3 · 1 DayStage 4 · 3 DaysStage 5 · 1 Day
Hands-on support structure
1–51 Trainer
6–202 Trainers
>203 Trainers
Trainer logistics
Accommodation provided or borne by the organiser. Vehicle mileage is calculated from Melaka to the training location and return, with toll and parking reimbursed or arranged by the organiser.
Travel arrangement
Return airfare, accommodation, airport transfer and local ground transportation are provided or borne by the organiser. Additional baggage may apply when technical equipment is required.
BEYOND TRAINING
Build talent, real traction and local AI capability.
The strongest projects can continue beyond Demo Day as pilots, SME deployments, case studies or commercialisation opportunities — subject to DDEC and participating company approval.
TRAIN→BUILD→DEPLOY→TRACTION→DISTILL→COMMERCIALISE
Real-world Traction
Selected projects can progress from training output to pilot implementation and SME adoption.
Model Distillation
With consent and governance, sanitised workflows, business rules and evaluation cases can support specialised SME intelligence.
Read: Training Intelligence for SMEs ↗Local AI Capability
Develop reusable workflows and domain-specific systems while keeping live business data in controlled operational systems.
Read: Strategic Value of Processing Power ↗EXECUTIVE SUMMARY
A practical pathway for small SMEs and young builders to adopt AI without unnecessary complexity.
AINNA AI Business Builder combines business understanding, AI Agent execution, cloud infrastructure, Laravel systems, e-commerce, SEO, security and management intelligence into one progressive 11-day programme.
The goal is not to turn every participant into a senior programmer. The goal is to teach them how to think, plan, instruct AI, build, verify, deploy, analyse and improve a real SME digital system.
