Overview: Practical AI for business
Our business model centers on delivering AI as an operational capability rather than a standalone research artifact. We start with concrete business questions and work backward to model design, data readiness and integration. Typical engagements run from a focused discovery (1–2 weeks) to an 8–12 week pilot and then to staged production rollout. Emphasis is placed on measurable indicators such as accuracy improvement on a specific task, time savings in a workflow, or reduction in manual processing steps.
We price engagements to align incentives: fixed-scope discovery, time-boxed pilots with clear acceptance criteria, and modular production phases. This allows teams to validate outcomes before committing larger operational budgets.
Discovery & Prioritization — selecting high-impact scenarios
Discovery focuses on identifying scenarios where AI can improve an existing process with clear metrics and available data.
- Map current process and define a measurable outcome (e.g., reduce mis-picks, improve demand forecast accuracy).
- Assess data availability and quality: sources, frequency, retention and labeling needs.
- Estimate implementation complexity and integration points with existing systems.
A standard discovery result a prioritized roadmap with one pilot identified for immediate execution and a list of subsequent projects ranked by expected operational impact per resource spent.
Pilot Implementation — rapid, measurable experiments
Pilots are built to answer specific operational questions and use real, production-adjacent data. We apply iterative cycles: prototype, validate with stakeholders, refine features and measure against predefined KPIs.
Case example: retail demand forecast pilot
In one pilot for a regional retailer, we integrated POS and inventory data to produce weekly SKU-level forecasts. Over an 8-week pilot we improved forecast alignment for promoted SKUs, reduced emergency replenishments and delivered a documented handoff that allowed the client’s IT team to schedule the model for automated daily runs.
Integration & Operations — from model to business process
Moving a model to production requires more than code: it needs robust data pipelines, monitoring, rollback plans and clear operational responsibilities.
We prepare deployment artifacts including containerized services, API contracts and monitoring dashboards that track data drift, model performance and downstream business metrics.
Operational checklist
The checklist covers data validation, alert thresholds, retraining triggers, CI/CD pipelines and runbooks for the support team. We also run a handover session with stakeholders to align on operational roles and escalation paths.
Pricing & Engagement — transparent, phased approach
Engagements are split into discovery, pilot and production phases. Each phase has clear deliverables and acceptance criteria so organizations can evaluate results before progressing.
Pricing models include fixed-price discovery, time-boxed pilot engagements and subscription or retainer models for ongoing support and monitoring. We tailor proposals to the client’s existing infrastructure and support preferences.
Security & Compliance — practical safeguards
We treat security and compliance as integral parts of every project, not add-ons.
- Data minimization and role-based access for sensitive datasets.
- Audit logs for model inputs and decisions where required by regulation or internal policy.
- Alignment with local data residency and retention policies in Thailand and enterprise IT controls.
For regulated environments we prepare documentation to support compliance reviews and work with corporate legal and security teams to map controls to project architecture.
Contact & Next Steps
To start, schedule a short discovery workshop where we map a target process, review sample data and agree acceptance criteria for a pilot. Typical discovery outcome: a 1–2 page project brief and a proposed pilot plan.
Contact leaditne at [email protected] or call +66927076411 to arrange a discovery session in Bangkok. Our office is at Thanon Ratchadaphisek, Bangkok District, Bangkok 10800, Thailand.