solutions.overview
Three ways we work with you
Each engagement is shaped around your organisation's context — the technology, the people, and the pace that works for your team. Browse our offerings below and reach out with questions.
Back to Homeour.approach
How we approach each engagement
Luminos structures work around discovery before delivery. Before any model is selected or integration is started, we spend time understanding your current systems, your team's capacity, and the specific outcomes that matter to your organisation.
This allows us to build thoughtfully — recommending approaches that fit, not just approaches that impress. Every engagement ends with documentation and knowledge transfer so your team remains in control.
Discovery & scoping
Understanding your context, constraints, and goals
Design & prototyping
Testing approaches before full commitment
Delivery & documentation
Handover with full knowledge transfer
Review & refinement
Post-deployment check-ins and adjustments
solution — 01
Custom Generative AI Application Development
Design and development of generative AI applications tailored to specific business needs, including content generation, design assistance, and creative production tools. The service covers model selection and fine-tuning, prompt engineering frameworks, user interface design, and deployment. Built for organisations wanting to integrate generative capabilities into their workflows thoughtfully.
What's included
Engagement steps
Requirement workshop
Two-session discovery to map use case and constraints
Prototype & feedback loop
Working prototype shared for team feedback before full build
Full build & testing
Development with quality and output consistency checks
Deployment & knowledge transfer
Handover with documentation and team walkthrough
solution — 02
Enterprise LLM Integration
Integration of large language models into existing enterprise systems for tasks such as document summarisation, internal knowledge retrieval, and communication drafting. The engagement includes use case identification, model evaluation, security and privacy framework setup, and API integration with current business applications.
What's included
Engagement steps
Systems audit
Review current tools, data flows, and integration points
Use case mapping
Identify and rank highest-value integration opportunities
Security framework setup
Configure privacy safeguards before any data flows
Integration & handover
Live API integration with IT team documentation
solution — 03
Generative AI Strategy & Governance
Advisory on developing organisational strategies for responsible generative AI adoption, including use case prioritisation, risk assessment, output quality frameworks, and governance policies. The deliverable is a practical roadmap that balances capability exploration with ethical considerations and Malaysian regulatory awareness.
What's included
Engagement steps
Stakeholder interviews
Understand current AI awareness and organisational priorities
Risk and opportunity mapping
Structured assessment across departments and functions
Framework design
Draft governance policy and quality review processes
Roadmap delivery
Final document with leadership walkthrough
compare.solutions
Which solution fits your situation?
Not every engagement is the same. Here's a quick reference to help you think through which starting point makes most sense.
| Feature / Context | Custom AI App RM 9,000 |
Enterprise LLM RM 6,800 |
Strategy & Governance RM 3,500 |
|---|---|---|---|
| Best suited for | Teams wanting a built app or tool | Enterprises with existing systems | Organisations planning AI adoption |
| Custom development | Partial | ||
| System integration | Optional | ||
| Policy & governance | Light | Included | |
| Roadmap document | |||
| Typical timeline | 8–14 weeks | 6–10 weeks | 3–5 weeks |
| Knowledge transfer | |||
| Post-delivery support | 30-day review | 30-day review | Leadership briefing |
Solutions can also be combined. Many clients begin with Strategy & Governance before moving to integration or development.
standards.protocols
Standards that apply to every engagement
Data privacy & security
All engagements are governed by data handling agreements. We do not retain client data beyond the engagement unless explicitly agreed.
Malaysian regulatory awareness
We stay current with PDPA Malaysia and emerging AI governance guidance from MDEC and other national bodies.
Documentation standards
Every deliverable is accompanied by clear documentation that allows your team to operate and maintain the work independently.
Output quality review
We build evaluation processes into each project — testing AI outputs for relevance, tone, and accuracy before any handover.
Collaborative working style
We work alongside your team, not ahead of them. Regular check-ins keep stakeholders informed and decisions shared.
Responsible AI principles
We build with fairness and transparency in mind — flagging risks when they arise rather than leaving that to you to discover later.
ready.to.start
Not sure where to begin?
Start with a conversation. We'll help you identify which engagement makes sense for your current stage — no commitment required.
Get in Touch