Plans and pricing

Choose a plan matched to your use case

Pricing reflects scope and deliverables. Each paid engagement includes a written playbook, a set of reproducible artifacts, and a short retrospective session to capture learnings and next steps.

open

Community guides

0 free
Select scenario guides
Sample notebooks
Community forums
Self-paced checklists
pilot

Pro pilot

6900 MYR
4-week pilot engagement
Custom scenario development
Deployment-ready playbook
Operational checks and runbooks
Final retrospective and roadmap

Applied pathways with real-world cases

Practical AI education and implementation guides

AIKiniHub focuses on step-by-step, case-driven learning and deployment. Each module pairs instructional content with concrete scenarios and project templates so teams in Malaysia can progress from capability assessment to production-ready AI features using reproducible patterns and measurable milestones.

Assess & Plan

Discovery workshops and readiness cases

Start with structured discovery sessions that use industry-specific case studies: retail demand forecasting, customer-support automation, and manufacturing anomaly detection. These sessions include stakeholder mapping, data audits, and a prioritized road map that translates business objectives into technical milestones and resource plans.

See sample discovery case
Build & Validate

Prototype pipelines and validation scenarios

Use reproducible pipelines and validation scenarios to iterate quickly. Example case studies demonstrate feature engineering for tabular forecasting, evaluation metrics for conversational agents, and split-testing approaches for model selection. Each guide includes sample code, test datasets, and checklists for bias and performance assessment.

Explore prototype templates
Deploy & Monitor

Production deployment with monitoring playbooks

Deployment guides cover containerized models, CI/CD workflows, shadow testing, and telemetry-driven monitoring. Practical cases show how to instrument drift detection, set alert thresholds, and run post-deployment A/B analyses to ensure model behavior aligns with the original success scenarios.

See sample discovery case
Start with a pilot

Move from learning to doing with AIKiniHub

Book a scoping session to identify a high-impact pilot, define success criteria, and outline a two- to eight-week roadmap that produces a usable prototype and an operational handover.

Projects completed
128
Typical time to first production
12 weeks
How AIKiniHub helps teams
1

Scenario-based curricula with ready-to-run examples

2

Deployment playbooks and monitoring templates

3

Localised guidance for Malaysian regulatory and operational contexts

Book scoping session

Materials include hands-on labs, code snippets, and governance checklists designed to support practical, measurable outcomes without overpromising results.

AI Implementation Advisor
Hello. I’m here to help with practical AI adoption questions, examples, and next steps. Tell me which scenario you want to explore — a pilot, a training plan, or a deployment checklist.