Focused AI Programmes for Real-World Application
Three core offerings designed to address strategy development, technical implementation, and capability building in your organisation.
Return HomeOur Approach
Each programme is built around working sessions rather than presentations, emphasising practical application over theoretical discussion. We adapt content to your industry context and include comprehensive documentation to ensure your team can maintain solutions independently.
Pre-Engagement Assessment
Understanding your current state, objectives, and constraints before programmes begin allows appropriate content adaptation.
Interactive Delivery
Working sessions with practical exercises ensure participants develop applicable skills rather than passive knowledge.
Complete Documentation
Comprehensive guides, architecture diagrams, and maintenance instructions enable your team to work independently.
AI Strategy Workshop
A facilitated series of working sessions designed to help leadership teams articulate their AI vision and develop an actionable plan that fits their organisational context. Workshop modules cover opportunity identification, resource assessment, risk considerations, and roadmap development.
Key Benefits:
- Clear AI roadmap aligned with business objectives
- Risk identification and mitigation planning
- Resource allocation framework
- Prioritised implementation timeline
Process:
- 1. Current state assessment and opportunity mapping
- 2. Vision articulation and success criteria definition
- 3. Risk assessment and governance planning
- 4. Roadmap development with resource requirements
Duration: 2-3 intensive days
Best For: Executive teams and cross-functional leaders
SGD 890
Machine Learning Integration
A hands-on engineering engagement focused on embedding trained machine learning models into your existing software systems, APIs, or operational workflows. Our team handles model packaging, endpoint creation, monitoring setup, and performance tuning to ensure components work reliably.
Key Benefits:
- Production-ready model deployment
- Comprehensive monitoring and alerting
- Performance optimisation for your workload
- Team knowledge transfer for maintenance
Process:
- 1. Technical architecture assessment and design
- 2. Model packaging and API endpoint development
- 3. Integration testing and performance tuning
- 4. Monitoring setup and handover documentation
Duration: 4-8 weeks
Best For: Engineering and product teams
SGD 1,680
AI Talent Development
A structured learning programme crafted for your internal teams to build practical understanding of AI concepts, tools, and methodologies relevant to their roles. Content is customised to your industry context and covers topics from data literacy fundamentals to applied machine learning concepts.
Key Benefits:
- Customised curriculum for your context
- Hands-on exercises with relevant data
- Progressive skill development
- Progress assessments and feedback
Process:
- 1. Skill assessment and curriculum customisation
- 2. Foundational concepts and data literacy
- 3. Applied machine learning with practical exercises
- 4. Project work and capability assessment
Duration: 6-8 weeks modular sessions
Best For: Internal teams building AI capability
SGD 1,150
Programme Comparison
Choose the programme that best fits your current needs and organisational objectives.
| Feature | Strategy Workshop | ML Integration | Talent Development |
|---|---|---|---|
| Primary Audience | Leadership Teams | Engineering Teams | Internal Teams |
| Duration | 2-3 days | 4-8 weeks | 6-8 weeks |
| Technical Prerequisites | |||
| Hands-On Exercises | |||
| Documentation Included | |||
| Deployment Support | |||
| Progress Assessment | |||
| Best For | Starting AI journey | Ready to deploy models | Building internal skills |
| Investment | SGD 890 | SGD 1,680 | SGD 1,150 |
Technical Standards
Quality assurance measures applied across all our programmes.
Security & Privacy
PDPA compliance, confidentiality agreements, secure development practices, and data handling protocols.
Performance Metrics
Testing protocols, monitoring setup, performance benchmarks, and quality assurance processes.
Support Framework
Post-engagement support periods, documentation repositories, troubleshooting guides, and contact channels.
Delivery Standards
Defined deliverables, progress milestones, review sessions, and knowledge transfer processes.
Ready to Begin?
Let's discuss which programme best aligns with your current objectives and organisational readiness.
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