Our Approach
A Methodology Built on Listening and Evidence
Every Lumiivexxdss engagement follows a consistent process: we begin by understanding your current state, identify where AI can add genuine value, design a solution scoped to your resources, and support the implementation until your team can run it independently. This approach avoids the common pitfall of building sophisticated technology that never gets used.
Our methodology is iterative by design. We validate assumptions at each stage with real data and real feedback from your stakeholders. If something isn't working, we adjust early — not after months of development. This discipline keeps projects on track, on budget, and focused on outcomes that matter to your organization.
Solution 01
AI Readiness Assessment
A thorough evaluation of your current business infrastructure, workflows, and data landscape to understand where artificial intelligence may offer meaningful improvements. The assessment includes interviews with key stakeholders, a review of existing technology stacks, and a detailed gap analysis. The deliverable is a comprehensive roadmap outlining potential integration points, estimated timelines, and resource considerations.
- Stakeholder interviews and workflow mapping
- Technology stack and data landscape review
- Gap analysis with prioritized opportunities
- Executive and technical presentations
Solution 02
Custom AI Model Development
Collaborative creation of machine learning models tailored to your specific business challenges, whether that involves customer behavior prediction, document processing, inventory forecasting, or other operational needs. The engagement begins with a discovery phase to define objectives and data requirements, followed by iterative model design, training, and validation. Each model is built with transparency in mind, including documentation of methodology and performance metrics.
- Discovery phase with objective definition
- Iterative model design, training, and validation
- Complete methodology documentation
- Post-deployment integration support
- Team training on model maintenance
Solution 03
Enterprise AI Strategy & Governance
A long-term advisory engagement that helps leadership teams develop a responsible and sustainable approach to adopting intelligent systems across the organization. This includes crafting internal policies for data ethics, establishing evaluation frameworks for AI vendor selection, and building cross-functional AI literacy programs for staff at all levels. The engagement adapts to your organizational pace.
- Data ethics policies and governance frameworks
- AI vendor evaluation criteria
- Cross-functional AI literacy programs
- Monthly check-ins and quarterly reviews
- Evolving strategic document
Compare Solutions
Which Solution Fits Your Needs?
| Feature | Readiness Assessment | Custom Model | Strategy & Governance |
|---|---|---|---|
| Infrastructure Review | |||
| Custom ML Model | |||
| Integration Roadmap | |||
| Governance Framework | |||
| Team Training | |||
| Ongoing Advisory | |||
| Starting Price | ฿16,500 | ฿38,000 | ฿52,000 |
| Ideal For | Exploring possibilities | Solving a specific challenge | Organization-wide adoption |
Standards
Technical and Professional Standards
Data Security
All data handled under strict protocols aligned with PDPA and ISO 27001 standards. Encryption at rest and in transit.
Performance Benchmarks
Every model is tested against defined performance thresholds before deployment. We document precision, recall, and domain-specific metrics.
Full Documentation
Complete records of data handling, model architecture decisions, and operational procedures are delivered with every project.
Not Sure Which Solution Fits?
Schedule a conversation with our team. We will help you identify the right starting point for your organization — no commitment required.
Book a Consultation