Documentation standards
Deliverables include system diagrams, API specifications, model validation reports, and runbooks for routine maintenance.
Service packages and pricing
Supplementary resources
Notes on responsible AI adoption
Projects should include clear documentation, defined testing datasets, and monitoring plans. Stakeholders are encouraged to evaluate both technical outcomes and operational implications such as user workflows, error handling, and support processes.
Operational readiness
Define roles for incident response, model retraining triggers, and metrics to assess model utility over time.
Data governance basics
Establish access controls, retention policies, and simple audit logging to support transparency and compliance.
Transparent service tiers
Choose the level that matches your technical readiness and objectives
Discovery Brief
Short, focused consultation
0
- 30-minute remote consultation
- Checklist of data and system requirements
- High-level next-step options
- Summary email with contact details
Most common choice
Assessment Pack
Structured feasibility and scope definition
THB6700
per engagement
- Data readiness evaluation
- Technical integration points identified
- Estimated resource and timeline outline
- Risk and compliance considerations
- Final report with recommended pilot scope
Includes pilot work
Pilot Pack
Prototype, validation, and pilot deployment
THB7650
per engagement
- Prototype model on representative data
- Integration of prototype with a sample workflow
- Performance and stability testing
- Operational runbook and monitoring setup
- Handover documentation
- Recommendations for next-phase scaling