Our Services
AI Integration
Solutions
Three focused services designed to move your organisation forward with AI — each one collaborative, contextual, and built for the Malaysian business environment.
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Our Approach to AI Integration
Every engagement begins with discovery — understanding your data landscape, your team's readiness, and the specific decision problems you want AI to help address. We don't start with technology; we start with context.
From there, we move through scoping, design, delivery, and handover in structured phases. Each phase has defined outputs, and we communicate clearly throughout so you always know where things stand.
Discovery
Understand your data, goals, and team capacity before any solution is proposed.
Design
Co-create a solution approach aligned with your environment and constraints.
Delivery
Execute with milestones, progress updates, and your team actively involved.
Handover
Comprehensive documentation, training, and a post-engagement check-in.
Sentiment Analysis Implementation
From RM 660 per engagement
Technical consulting and deployment support for building sentiment analysis capabilities into your customer feedback, social media monitoring, or employee engagement processes. The service covers data collection strategy, model selection and fine-tuning, integration with existing analytics platforms, and result interpretation training for end users.
Key Benefits
- Understand customer sentiment at scale without manual review
- Identify issues and opportunities embedded in unstructured feedback
- Multilingual NLP capability covering BM, English, and Mandarin
- Integration with your existing analytics tools and dashboards
- End-user training so your team can interpret and act on results
Delivery Process
Data audit and collection strategy
Review existing data sources and define what additional collection is needed
Model selection and configuration
Select and fine-tune the most appropriate model for your language and use case
Platform integration
Connect sentiment outputs to your analytics environment
Training and handover
Equip your team to interpret results and maintain the system
Typical timeline: 4–8 weeks
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Well Suited For
- Customer experience and CX teams
- HR and employee engagement functions
- Brand and social media management teams
- Retail, hospitality, and financial services organisations
Well Suited For
- Department heads overseeing AI rollouts
- Team leads managing resistant or anxious staff
- HR leaders supporting organisation-wide AI adoption
- Senior managers new to leading technology transitions
AI Change Management Coaching
From RM 1,780 per engagement
One-on-one and group coaching for managers and team leads who are responsible for guiding their departments through AI-related changes. The coaching covers communication strategies, resistance management, milestone planning, and team motivation techniques specific to technology transitions. Sessions are tailored to each leader's context and delivered over a structured engagement period.
Key Benefits
- Equip leaders to communicate AI changes with confidence and clarity
- Reduce team resistance by addressing concerns constructively
- Build internal capability for managing future technology transitions
- Culturally sensitive approach tailored to the Malaysian workplace
- Flexible format: individual or group coaching sessions available
Coaching Programme Structure
Leader assessment and context mapping
Understand each leader's situation, team dynamics, and specific AI change context
Communication and framing sessions
Develop language and narratives that work for your team
Resistance management and milestone planning
Practical tools for managing objections and tracking adoption progress
Review and sustainability planning
Consolidate what worked and plan for ongoing self-led change management
Typical timeline: 6–12 weeks
Enquire About This ServiceRecommendation Engine Design
From RM 3,600 per engagement
End-to-end consulting for designing and implementing recommendation systems suited to your business model. Whether for product suggestions, content curation, or resource matching, the service covers algorithm selection, data requirements, A/B testing frameworks, and performance benchmarking. Delivered collaboratively with your product and engineering teams to ensure alignment with user experience goals.
Key Benefits
- Personalise experiences for users based on their actual behaviour
- Increase relevance of product or content surfaces without manual curation
- A/B testing framework to measure and iterate on recommendation performance
- Delivered alongside your product and engineering teams
- Algorithm selection matched to your data availability and business model
Design and Delivery Process
Business model and data requirements analysis
Define what you want to recommend, to whom, and based on what signals
Algorithm selection and system architecture
Design the technical approach that fits your data scale and infrastructure
Prototype development and A/B testing setup
Build, test, and measure before full rollout
Performance benchmarking and handover
Document baseline performance and equip your team to iterate independently
Typical timeline: 8–14 weeks
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Well Suited For
- E-commerce platforms with product catalogues
- Content platforms and digital publishers
- Learning management systems and edtech platforms
- Marketplaces and service matching platforms
Choosing a Service
Which Solution Fits Your Needs?
A quick reference to help you think through which service is most relevant to your current situation.
| Your situation... | Sentiment Analysis |
Change Mgmt Coaching |
Recommendation Engine |
|---|---|---|---|
| You have large volumes of customer or employee feedback to analyse | |||
| Your managers are struggling to lead their teams through AI-related changes | |||
| You want to personalise content or product recommendations for users | |||
| You are managing an AI rollout and need both technical and human support | |||
| Your team handles multilingual data (BM, English, Mandarin) | |||
| You are at the beginning of your AI journey and unsure where to start |
Not sure which applies? Contact us — we're happy to discuss your situation before you commit to anything.
Shared Across All Services
Professional Standards
PDPA-Aligned Data Handling
All engagements are conducted in line with Malaysia's Personal Data Protection Act, with documented data flow records for every project.
Responsible AI Principles
Fairness, bias review, and explainability are considered standard elements of every technical design, not optional additions.
Documented Scope and Deliverables
Every engagement begins with written documentation of scope, timeline, deliverables, and pricing. No verbal-only agreements.
Accessible Support
Clients can reach their consultant directly by phone and email during working hours throughout the engagement — not through a ticketing system.
Comprehensive Handover
All engagements conclude with written documentation, user guides where relevant, and a post-engagement check-in session.
Confidentiality Provisions
Client and project information is handled with strict confidentiality. Non-disclosure agreements are available for all engagements on request.
Explore What Might Fit Your Organisation
Reach out and we can talk through your current situation to identify which service — if any — makes sense for where you are right now.
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