AI Capability Programme

Programme Goal

Enable your organisation to independently design, build, and deploy agentic AI solutions by training 20 key people across departments.

Participants progress from AI fundamentals to production-grade agent deployment
Build a self-sustaining internal AI capability with no ongoing dependency on external consultants
Embed AI into daily operations across departments through hands-on, applied learning
Curriculum derived from frameworks taught at NUS postgraduate level and deployed in production at enterprise scale

Phase 1: Strategic Assessment

A structured assessment before the programme begins, covering three areas:

A. AI Readiness & Use Case Mapping

Half-day on-site with key stakeholders and technical team.

Map current tech landscape, data maturity, and existing AI initiatives
Identify and prioritise 3-5 high-impact AI use cases
Define initial data strategy and agent architecture for the first use case

B. Data & Systems Strategy Review

Understand your current systems landscape and identify where AI fits.

Map data sources, integration points, and gaps
Evaluate build vs buy options for AI infrastructure
Deliverable: data strategy assessment with architecture recommendation

C. EDB Grant Application Support

Introduction to EDB contact for the Training Grant (TG(C))
Help write the Training Plan — the core document for the grant application
Support HR through the application process
One application covers both batches (all 20 trainees)

Phase 2: AI Capability Programme

Two batches of 10 participants, each completing a 6-month intensive programme.

	Batch 1	Batch 2
Participants	10	10
Duration	Months 1-6	Months 7-12
Advantage	First movers, shape the programme	Refined curriculum, Batch 1 graduates as mentors

Weekly Structure

Every week, one full day on-site:

Session	Duration	Content
Morning Workshop	4 hours	Structured curriculum: new concepts, frameworks, live demos, hands-on exercises
Afternoon Reflection	4 hours	Review OJT work from the past week, troubleshoot, give feedback, assign next week's tasks

Between sessions, participants apply what they learned to real processes in their area of responsibility. This on-the-job training is reviewed in the weekly afternoon reflection.

6-Month Curriculum (Per Batch)

Months 1-2: Foundation & Design

Participants learn where AI creates value and how to design the bridge from human processes to AI-powered operations.

Month 1: Fundamentals & Process Mapping

Workshop What is AI, what are agents, what's possible. Live demos. Use case evaluation: feasibility, impact, data readiness.

OJT Map 2-3 processes. Write use case brief with data requirements and context definition.

Reflection Peer review of process maps and use case briefs. Technical feasibility feedback.

Month 2: Context Design & Data Strategy

Workshop How agents use context: documents, databases, APIs. Data quality. Human-to-AI-Agent Framework. System and user prompt design.

OJT Map data sources for your use case. Define agent context. Build knowledge base structure.

Reflection Present context maps. Technical team validates data availability.

Milestone: First AI prototype deployed using the agent harness. First tangible AI product for the organisation.

Parallel Technical Track

Throughout all 12 months, your technical team receives deeper enablement:

Agent harness deployment, configuration, and scaling
Knowledge base architecture and maintenance
API integration patterns with your systems
Production operations, monitoring, and cost management

They become the internal capability owners who sustain and extend everything after the programme ends.

Investment & EDB Grant Economics

Phase	Fee	Duration
Phase 1: Strategic Assessment	S$5,000 (flat)	One-off
Phase 2: AI Capability Programme	S$10,000/month	12 months
Total programme investment	S$125,000

How the EDB Training Grant Works

EDB reimburses your organisation for employee salary costs during training. Both formal sessions and on-the-job training count. One TG(C) application covers both batches with staggered start dates.

Formula: (Training days per month / 22 working days) x S$2,500 = grant per trainee per month

Scenario Calculator

Adjust the number of trainees and OJT intensity to see how the grant offsets programme costs.

Trainees per batch

OJT Intensity

S$909 Net cost per month

S$15,908 Net total (12 months + Phase 1)

S$109,092 Total EDB grant reimbursement

Item	Amount

What Your Organisation Gets After 12 Months

20 AI-enabled key people

Technical team as internal AI platform owners

10-15 production AI agents

AI-powered process automation

Data strategy and architecture

AI governance framework

24-month AI roadmap

Batch 1 graduates mentoring Batch 2

Included at No Extra Cost

Open-source agent harness framework (NUS / enterprise-proven)

Full curriculum design and materials

Strategic AI roadmap

EDB grant application support

Next Steps

1

Confirm interest and nominate 10 participants for Batch 1

Select the first cohort from across departments.

2

Introduction to EDB contact

Andreas connects your organisation with EDB to explore the Training Grant.

3

Phase 1: Strategic Assessment + Grant Application

AI readiness assessment, data and systems review, and Training Plan for EDB submission.

4

Submit TG(C) application to EDB

One application covers both batches (all 20 trainees). Must be submitted before training starts.

5

EDB approval and programme begins

Batch 1 starts post-approval. Batch 2 nominates in Month 5, starts Month 7.

4-8 weeks for approval

Important: The EDB grant requires that training has not commenced at the time of application. Phase 1 (assessment) can proceed immediately. Phase 2 (training) begins after grant approval.