Our Methodology
How We Approach Every Engagement
Every project begins with listening. Before we propose anything, we spend time understanding your business context, your data landscape, and the problem you're trying to solve. This isn't a formality — it's the foundation that makes everything else work.
From there, we follow a structured but flexible methodology: scoping the problem clearly, assessing feasibility, building iteratively, validating rigorously, and documenting thoroughly. At each stage, we check in with your team to make sure we're aligned. If something needs to change — and it often does — we adjust without friction.
Our goal is to leave you with something your organization can use and understand long after our engagement ends. That means writing documentation for real people, not just other engineers.
Service 01
Intelligent Process Mapping
For organizations looking to understand where machine learning and data-driven tools could complement their existing workflows. We begin with a detailed audit of current processes, identify repetitive tasks and decision points where algorithmic support could add value, and prepare a prioritized map with a realistic infrastructure assessment.
- Detailed workflow audit and documentation
- Identification of data bottlenecks and opportunities
- Prioritized implementation roadmap
- Data readiness evaluation
- Phased implementation outline
Typical Timeline: 4–6 weeks
฿65,000
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Custom Model Development
End-to-end development of a machine learning model tailored to a specific business challenge. We handle data preparation, feature engineering, model selection, training, and validation using your own datasets. We place emphasis on creating models that your team can interpret and maintain over time.
- Data preparation and feature engineering
- Model selection, training, and validation
- Performance benchmarks and bias checks
- Usage guidelines and monitoring plan
- Comprehensive technical documentation
Typical Timeline: 6–12 weeks
฿52,000
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Service 03
AI Readiness Assessment
A foundational evaluation for organizations curious about artificial intelligence but unsure where to begin. We examine data maturity, infrastructure capabilities, team skill levels, and organizational culture around technology adoption. The output is an honest report on your current position with practical steps to build readiness over time.
- Data quality and maturity review
- Infrastructure capability assessment
- Team skill gap analysis
- Key personnel interviews
- Leadership findings presentation
Typical Timeline: 2–3 weeks
฿24,000
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Which Service Is Right for You?
Each service addresses a different stage of the AI journey. Here's a quick guide to help you decide.
| Feature | Process Mapping | Custom Model | Readiness |
|---|---|---|---|
| Workflow Analysis | |||
| ML Model Delivery | |||
| Data Quality Review | |||
| Implementation Roadmap | |||
| Leadership Presentation | |||
| Best For | Organizations ready to identify AI opportunities | Teams with a clear use case and data | Organizations just beginning to explore |
Across All Services
Standards We Maintain
Data Security
Encrypted data transfer, secure processing environments, and strict access controls throughout every engagement.
Performance Benchmarking
All models include documented accuracy metrics, validation results, and clear performance thresholds.
Thorough Documentation
Every deliverable comes with documentation tailored for both technical and non-technical audiences in your organization.
Investment
Clear, Upfront Pricing
Not sure which solution fits?
We're happy to discuss your situation and suggest the right starting point — with no obligation attached.
Let's Talk