Practical AI Solutions
Three focused service offerings designed to meet organizations at different stages of their AI journey—from initial exploration to production deployment.
Return HomeOur Methodology
Every engagement follows a structured approach that balances thoroughness with practical efficiency. We begin by establishing a clear understanding of your business context and technical constraints, then move through iterative development cycles that allow for feedback and course correction. Our methodology emphasizes documentation, knowledge transfer, and building solutions that your team can maintain independently.
Whether you're exploring AI for the first time or ready to implement a specific solution, we adapt our engagement model to your situation. Early-stage organizations benefit from our assessment framework, which provides clarity about readiness and potential applications. Organizations with defined use cases work with our development team to build and validate custom models. Those ready to deploy existing AI tools receive technical support for smooth integration.
What remains consistent across all engagements is our commitment to transparent communication, realistic timelines, and solutions designed for production environments rather than demonstrations. We measure success by whether implementations continue delivering value months after our engagement concludes.
Service Details
AI Readiness Assessment
A consultative engagement that evaluates your organization's current data infrastructure, team capabilities, and operational workflows to determine where AI solutions may add meaningful value. Our team conducts interviews with key stakeholders, reviews existing data assets, and benchmarks your readiness against practical implementation requirements.
What You Receive
- Stakeholder interviews and workflow analysis
- Data asset review and quality evaluation
- Capability benchmarking against industry standards
- Detailed report with prioritized opportunities
- Suggested phasing approach and prerequisites
Timeline
2-3 weeks
Investment
฿28,000
Custom Model Development
End-to-end development of machine learning models tailored to your specific business problem. Our data scientists work with your team to define the problem scope, prepare training data, select appropriate algorithms, and validate results through iterative development cycles.
Engagement Process
- Problem definition and scope agreement
- Data preparation and quality assessment
- Algorithm selection and baseline establishment
- Iterative development with regular check-ins
- Performance validation and documentation
Timeline
6-12 weeks
Investment
฿55,000
AI Integration & Deployment Support
Technical consulting for organizations that have developed or acquired AI tools and need assistance integrating them into existing systems. Our engineers work alongside your IT team to ensure smooth deployment, proper API configuration, and reliable performance monitoring.
Support Includes
- Architecture review and deployment planning
- API configuration and endpoint testing
- Performance monitoring setup
- Testing protocols and validation procedures
- Knowledge transfer sessions for your team
Timeline
4-8 weeks
Investment
฿45,000
Which Solution Fits Your Needs?
Use this comparison to understand which service aligns with your current stage and objectives.
| Feature | Readiness Assessment | Custom Development | Integration Support |
|---|---|---|---|
| Best For | Organizations exploring AI | Defined use cases with data | Deploying existing AI tools |
| Timeline | 2-3 weeks | 6-12 weeks | 4-8 weeks |
| Investment | ฿28,000 | ฿55,000 | ฿45,000 |
| Data Requirements | Minimal | Sufficient training data | Tool-dependent |
| Deliverables | Report and roadmap | Working model + docs | Deployed solution |
| Team Involvement | Key stakeholders | Technical + business teams | IT and operations teams |
Not sure which option fits your situation?
Discuss Your NeedsTechnical Standards Across All Solutions
Security Protocols
All engagements follow strict data security practices including encryption, access controls, and compliance with your organization's security policies and industry regulations.
Documentation Standards
Comprehensive technical documentation covers architecture decisions, code structure, model performance metrics, and maintenance procedures for ongoing operations.
Quality Assurance
Rigorous testing and validation procedures ensure solutions meet defined performance criteria and function reliably under production conditions before deployment.
Knowledge Transfer
Every engagement includes structured training sessions and documentation handoff to ensure your team can operate and maintain the solution independently.
Version Control
All code and models are maintained in version control systems with clear documentation of changes, enabling rollback capabilities and collaborative development.
Performance Monitoring
Solutions include monitoring frameworks to track model performance over time, detect drift, and alert teams when retraining or adjustments become necessary.
Transparent Pricing
Readiness Assessment
Exploration Phase
Fixed fee
- Stakeholder interviews
- Data infrastructure review
- Detailed assessment report
- Implementation roadmap
- 2-3 week timeline
Custom Development
Implementation Phase
Per project
- Full model development
- Iterative refinement cycles
- Performance validation
- Complete documentation
- 6-12 week timeline
Integration Support
Deployment Phase
Per engagement
- Architecture review
- API configuration
- Testing protocols
- Knowledge transfer
- 4-8 week timeline
All prices in Thai Baht. Pricing includes standard deliverables and reasonable post-engagement support. Custom requirements may affect final pricing.
Ready to Begin?
Whether you're exploring AI for the first time or ready to implement a specific solution, reach out to discuss your situation and determine the best path forward.
Schedule a Consultation