Three Services. One Goal: AI That Fits Your Organisation.
Each service is scoped around a specific challenge that Malaysian organisations face when working with AI. Choose one, or ask us which makes sense for your situation.
Back to HomepageOur Engagement Methodology
Every engagement follows the same structured approach, adapted to the scope and complexity of your specific situation.
Scoping
We understand your data, team, and operational goals before recommending any approach.
Development
We build within agreed boundaries, keeping you informed at each checkpoint.
Review
Outputs are reviewed against agreed criteria before delivery, with your team involved.
Adoption
We stay involved until your team is confident using what we've built.
AI for Customer Retention Modelling
RM 810A specialised analytics service that builds AI models to predict customer churn, identify retention drivers, and recommend intervention strategies. We cover customer data integration, feature engineering, model development, and actionable dashboard design for customer success teams. This service is designed for subscription businesses and service providers with recurring revenue models.
Key Benefits
- Identifies at-risk customers before they leave, giving your team time to act
- Surfaces the specific retention levers that work in your customer base — not generic advice
- Delivers outputs as operational dashboards, not model files that require data science expertise
- Integrates with your existing customer data without requiring a complete data overhaul
Process Overview
- 1 Data scoping and customer record assessment
- 2 Feature engineering and model development
- 3 Model validation and performance review
- 4 Dashboard design and customer success team training
Typical duration: 4–6 weeks
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AI Sandbox Environment Setup
RM 2,140Technical implementation of a secure sandbox environment where your teams can experiment with AI tools, models, and datasets without affecting production systems. The service covers infrastructure provisioning, access management, pre-loaded datasets, tool configuration, and usage guidelines. Designed for organisations that want to encourage AI experimentation while maintaining security and governance controls.
Key Benefits
- Teams explore AI capabilities without risking production data or systems
- Governance frameworks included so your IT and compliance teams are comfortable
- Pre-loaded with relevant datasets so experimentation can begin immediately
- Documented usage guidelines suitable for both technical and non-technical staff
Process Overview
- 1 Infrastructure requirements and security assessment
- 2 Provisioning, access configuration, and dataset preparation
- 3 Tool installation and governance framework documentation
- 4 Team onboarding and first-session support
Typical duration: 2–3 weeks
Enquire About This ServiceAI-Assisted Knowledge Management
RM 3,670Consulting and implementation for AI-enhanced knowledge management systems that can organise, surface, and recommend institutional knowledge across your organisation. The service covers taxonomy design, content ingestion, semantic search deployment, and adoption strategy. Designed for organisations where critical knowledge is scattered across documents, emails, and individual expertise.
Key Benefits
- Critical knowledge becomes findable by the people who need it, when they need it
- Reduces dependency on specific individuals as knowledge holders
- Semantic search surfaces relevant content that exact keyword searches would miss
- Adoption strategy ensures the system gets used, not ignored after launch
Process Overview
- 1 Knowledge audit and taxonomy design workshops
- 2 Content ingestion and semantic indexing
- 3 Search interface deployment and quality review
- 4 Adoption planning, staff training, and handover
Typical duration: 6–12 weeks
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Which Service Fits Your Situation?
Use this as a starting point. If you're still unsure, we're glad to talk through your context before anything is decided.
| Your situation | Customer Retention RM 810 |
AI Sandbox RM 2,140 |
Knowledge Mgmt RM 3,670 |
|---|---|---|---|
| You have a subscription or recurring revenue model | – | – | |
| Customer churn is a known operational concern | – | – | |
| You want to explore AI before committing to a project | – | – | |
| Your IT team needs governance controls before AI experiments | – | – | |
| Critical knowledge is scattered and hard to find | – | – | |
| Key staff are knowledge bottlenecks | – | – |
What Every Engagement Includes
Written Scope Agreement
Every engagement begins with a written scope covering deliverables, timeline, and what falls outside the project boundary.
Data Handling Agreement
Data sharing is governed by a written agreement specifying permitted use, storage, and deletion before any transfer occurs.
Team Training
The operational team receives hands-on training as part of every delivery, not as an optional add-on.
Full Documentation
Everything we build is documented so your team can maintain and adapt it without depending on us indefinitely.
PDPA Awareness
Personal data implications under Malaysia's PDPA are reviewed and flagged during the scoping phase.
Post-Delivery Check-In
We schedule a check-in two weeks after delivery to address any questions that emerge once your team is using the system day-to-day.
Standard Engagement Prices
All prices are in Malaysian Ringgit and reflect our standard scope. Unusual complexity is discussed openly before any additional cost is applied.
Customer Retention Modelling
Per standard engagement including data integration, model development, and dashboard delivery.
EnquireAI Sandbox Setup
Per standard environment including infrastructure, governance, datasets, and team onboarding.
EnquireKnowledge Management
Per standard engagement covering taxonomy design, ingestion, semantic search, and adoption support.
EnquireNot Sure Which Service Fits?
Describe your situation to us and we'll share our honest thoughts — with no expectation that a project needs to follow.
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