Three Ways We Can Help Your Organisation Move Thoughtfully
Each service addresses a different starting point on the AI adoption journey — from initial evaluation to full model deployment.
Back to HomeHow We Approach Every Engagement
Every Mykreativo engagement follows the same underlying principle: understand the specific context before forming any view about what should happen next. We do not begin with a solution looking for a problem.
Understand
Interviews, workflow review, data landscape
Analyse
Evaluate feasibility, effort, and fit
Recommend
Produce prioritised, documented findings
Deliver
Hand over actionable, independent deliverables
Intelligent Process Mapping
A consultative engagement that works through your existing operational workflows with your team to identify where machine learning can genuinely reduce friction. We don't arrive with a predetermined view of where AI should go — we develop that view through careful observation and structured conversation.
What this engagement includes:
- Stakeholder interviews across operational and leadership levels
- Systematic review of existing processes and documented workflows
- Identification of feasible ML integration points with effort assessments
- Detailed integration roadmap with measurable outcome targets
- Written report suited to both technical and executive audiences
Engagement steps:
Kick-off and scope alignment with leadership team
Stakeholder interview series — frontline through management
Process documentation and data flow analysis
Integration opportunity assessment and effort mapping
Roadmap delivery and walkthrough with stakeholders
Custom Vision Analysis
Development and deployment of image recognition systems built around your specific visual data requirements. Whether the application is quality inspection on a production line, inventory tracking via camera, or content moderation, we build and validate models that work reliably with your data — not a generic dataset.
What this engagement includes:
- Dataset curation guidance and labelling protocol design
- Model architecture selection and training pipeline setup
- Iterative training with structured feedback loops and validation
- Explainability documentation — how and why the model classifies
- API-ready packaging for integration with existing systems
Engagement steps:
Problem scoping and dataset review
Dataset curation, augmentation, and labelling setup
Model training — iterative cycles with client feedback
Validation testing with real-world edge cases
API packaging, documentation, and handover
AI Readiness Assessment
A structured evaluation designed for organisations at the beginning of their AI consideration. Through a series of workshops and technical reviews, we examine your data infrastructure, team capabilities, and strategic alignment to produce a clear, honest picture of where you stand and what is realistically achievable.
What this engagement includes:
- Data infrastructure audit — quality, accessibility, and volume
- Team capability assessment across technical and operational roles
- Strategic alignment review — business objectives vs AI potential
- Gap analysis with prioritised recommendations
- Written action plan with realistic timelines and sequencing
Engagement steps:
Scoping session and background materials review
Data and infrastructure technical review
Capability and process workshops with relevant teams
Findings synthesis and action plan development
Which Service Is Right for You?
A straightforward comparison to help you think through which engagement fits your current situation.
| Consideration | AI Readiness Assessment | Process Mapping | Vision Analysis |
|---|---|---|---|
| You're new to AI exploration | ✓ Best fit | Possible | Not yet |
| You have defined workflow friction points | — | ✓ Best fit | — |
| You work with visual or image data | — | — | ✓ Best fit |
| Investment | From RM 950 | From RM 1,800 | From RM 3,900 |
| Duration | 4 weeks | 6 weeks | ~10 weeks |
| Key deliverable | Action plan | Integration roadmap | Trained model + API |
Not sure which fits? Start a conversation and we'll help you think it through.
Professional Protocols Across All Engagements
Data Security
PDPA-compliant data handling with formal confidentiality agreements
Transparent Progress
Regular updates throughout; no surprises saved for the final meeting
Written Deliverables
All findings documented in formats your team can use independently
Ethical Approach
Bias awareness, explainability, and responsible deployment standards
Service Investment Overview
Starting prices for each engagement. Final pricing reflects the scale and complexity of your organisation's context, discussed openly before any work begins.
AI Readiness Assessment
- 4-week engagement
- Data and capability review
- Prioritised action plan
Process Mapping
- 6-week engagement
- Workflow and stakeholder analysis
- ML integration roadmap
Vision Analysis
- ~10-week engagement
- Trained, validated model
- API-ready for integration
Ready to Discuss Which Service Fits?
Our initial discussions are relaxed and exploratory. Tell us about your situation and we'll share an honest view of where we might be useful.
Contact Mykreativo