OUR SOLUTIONS
Three Focused Areas. Genuine Depth in Each.
We don't try to cover the full breadth of AI applications. Our work concentrates on three service areas where we've developed real expertise over seven years.
← Back to HomeHOW WE WORK
Our Methodology Across All Engagements
Workflow Assessment
We map your current processes before recommending anything. This takes one to two weeks and is included in every engagement.
Tool Selection
We evaluate AI tools against your specific workflows, data environment, and accuracy requirements — not general benchmarks.
Implementation & Validation
We build, configure, and test the solution against defined accuracy benchmarks before involving your team in training.
Training & Handover
Practical, hands-on training for your team, followed by full documentation handover and a post-delivery support period.
SOLUTION 01
AI-Powered Facilities Management
Implementation of AI systems for building and facilities management including energy optimisation, space utilisation analysis, maintenance prediction, and environmental monitoring. The service covers sensor integration, model development, dashboard creation, and facility team training.
Suitable for property managers and operations directors overseeing commercial or industrial premises in Malaysia.
What's Included
- Sensor network assessment and integration planning
- AI model development for predictive maintenance
- Energy optimisation algorithm configuration
- Space utilisation dashboard creation
- Environmental monitoring setup
- Facility team training (half-day session)
Typical Timeline
4 – 8 weeks from signed agreement to handover, depending on premises scale and existing infrastructure.
ENGAGEMENT FEE
RM 690
SOLUTION 02
Applied AI for Legal Operations
A training and implementation service that introduces AI tools into legal department workflows including contract review, clause extraction, due diligence acceleration, and case research. The engagement covers tool evaluation, workflow redesign, accuracy validation, and paralegal training.
Designed for general counsel and legal operations managers seeking to improve throughput without compromising diligence.
What's Included
- Legal workflow mapping and gap analysis
- AI tool evaluation for contract review and clause extraction
- Workflow redesign documentation
- Accuracy benchmarking and validation
- Paralegal training programme (1 day)
- Usage guidelines and procedure documentation
Typical Timeline
6 – 10 weeks. The accuracy validation phase adds time but is essential for legal use cases where reliability matters.
ENGAGEMENT FEE
RM 1,830
SOLUTION 03
AI Data Labelling Strategy
Consulting that establishes efficient and accurate data labelling processes to support AI model development. The service covers labelling tool selection, guideline creation, quality assurance workflows, team training, and cost-efficiency optimisation.
Suitable for organisations building proprietary AI models that require substantial amounts of accurately annotated training data.
What's Included
- Data and task type assessment
- Labelling tool evaluation and selection guidance
- Annotation guideline creation (full documentation)
- Quality assurance workflow design
- Cost-efficiency analysis and optimisation recommendations
- Team training and onboarding support
Typical Timeline
3 – 6 weeks. Scope varies depending on the number of data types and the complexity of the annotation task.
ENGAGEMENT FEE
RM 3,530
CHOOSING THE RIGHT SOLUTION
Which Solution Fits Your Situation?
Use this comparison to identify which engagement is closest to what you're looking to address.
| Your Situation | Facilities | Legal Ops | Data Labelling |
|---|---|---|---|
| Manage a commercial or industrial property | ✓ Best fit | – | – |
| Want to reduce energy or maintenance costs | ✓ Best fit | – | – |
| Lead a legal department or legal operations function | – | ✓ Best fit | – |
| Need to review high volumes of contracts | – | ✓ Best fit | – |
| Building a proprietary AI model internally | – | – | ✓ Best fit |
| Need to scale data annotation for ML training | – | – | ✓ Best fit |
| Delivery timeline under 6 weeks | ✓ | Longer | ✓ |
| Need bilingual English / BM delivery | ✓ | ✓ | ✓ |
Not sure which solution applies to you? Contact us and describe your situation — we'll advise honestly.
ACROSS ALL SOLUTIONS
Standards That Apply to Every Engagement
Data Security
NDA signed before any work begins. PDPA 2010 compliance built into our data handling. Client data is not retained after project close.
Accuracy Benchmarking
AI outputs are tested against defined benchmarks before we consider an implementation complete. We document the validation results and share them with you.
Complete Documentation
Every engagement closes with full handover documentation. Configurations, workflows, and training materials all belong to you — no ongoing dependency on us.
Practical Training
Training includes hands-on practice with the tools your team will use. We avoid lecture-heavy formats — your team learns by doing, in your environment.
Post-Delivery Access
We remain reachable by phone and email for 30 days after project close. Unexpected issues or questions get a direct response from the team that built the solution.
Ethical AI Use
We consider the downstream implications of the AI systems we help deploy. We won't build systems designed to circumvent oversight or produce outputs that require human verification but don't get it.
Talk to Us About What You Need
We're happy to discuss your situation before you commit to anything. Tell us what you're working with, and we'll be straightforward about whether and how we can help.
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