Three Services.
One Clear Focus.
Each myveltrio service is a self-contained engagement with a defined scope, timeline, and set of deliverables. Choose the one that addresses your immediate priority, or reach out to discuss which fits your situation.
Back to HomepageHow We Structure Every Engagement
Every myveltrio engagement follows the same underlying pattern — designed to move from context to delivery without unnecessary detours. The specifics vary by service, but the structure is consistent.
Understand your data environment, team capacity, and what success looks like
Define the specific approach, tools, and milestones for your engagement
Execute the work with your team involved at key decision points
Deliver documented outputs and walk your team through everything they need
Supply Chain Intelligence
Building predictive models and dashboards that provide visibility into supply chain risks, delays, and optimisation opportunities. The service includes data integration from logistics platforms, predictive modelling for disruption scenarios, and visual reporting. Designed for procurement and operations teams managing complex supplier networks.
What's Included
- Data integration from your logistics platforms
- Predictive models for delay and disruption scenarios
- Interactive dashboard for procurement and ops teams
- Full documentation and team walkthrough
Process Overview
Data Audit (Weeks 1–2): Review available data sources, assess quality, and identify integration points
Modelling (Weeks 3–6): Build and validate predictive models for your key risk scenarios
Dashboard (Weeks 7–9): Develop visual reporting layer accessible to non-technical stakeholders
Handover (Week 10): Documentation, team training, and transition to independent operation
AI-Assisted Content Creation
Setting up and fine-tuning generative AI pipelines for your content team — covering first-draft generation, style adaptation, and editorial workflow integration. Includes model selection, prompt engineering, and guardrail configuration to maintain brand voice and factual accuracy. Suited for marketing and editorial teams producing content at scale.
What's Included
- Model selection and configuration for your content type
- Prompt engineering aligned to your brand voice
- Guardrails for accuracy and tone compliance
- Editorial workflow integration and team training
Process Overview
Discovery (Weeks 1–2): Review your existing content workflow, brand guidelines, and volume requirements
Setup & Testing (Weeks 3–4): Configure model and prompts, test against your real content use cases
Integration & Refinement (Week 5): Connect to your editorial workflow and refine based on team feedback
Handover (Week 6): Full documentation, team walkthrough, and ongoing maintenance guide
Bias Audit for AI Systems
A focused assessment of your machine learning models for demographic, geographic, or contextual biases. The audit covers test dataset creation, fairness metric evaluation, and a recommendations report with mitigation strategies. Appropriate for organisations deploying models that affect people — in hiring, lending, content ranking, or similar domains.
What's Included
- Test dataset creation relevant to your model's domain
- Fairness metric evaluation across demographic groups
- Written findings report with clear, actionable recommendations
- Mitigation strategy options with implementation guidance
Process Overview
Model Access & Scope (Week 1): Access model outputs, define which demographic dimensions to test
Dataset & Testing (Weeks 2–3): Create test datasets, run fairness evaluations across defined metrics
Report & Recommendations (Week 4): Deliver findings report and walk through mitigation options
Which Service Fits Your Situation?
Each service addresses a distinct need. This comparison may help you identify where to start.
| Dimension | Supply Chain | Content AI | Bias Audit |
|---|---|---|---|
| Duration | 10 weeks | 6 weeks | 4 weeks |
| Fixed Fee (RM) | 3,700 | 2,400 | 1,200 |
| Best for | Procurement & ops teams | Marketing & editorial teams | Any team deploying people-facing models |
| Data required | Logistics & procurement data | Brand guidelines & sample content | Model outputs & feature data |
| Primary deliverable | Dashboard + predictive models | Configured AI pipeline | Findings & recommendations report |
What Applies Across All Engagements
Data Security
Data handling agreement in place before work begins. No retention after project close.
Full Documentation
All deliverables documented to a standard your team can maintain independently.
Progress Check-ins
Regular update sessions throughout the engagement. No black-box delivery.
Ethical Practice
Fairness and responsible data use considered as standard across all service areas.
Clear, Fixed-Fee Pricing
Bias Audit
4-week engagement
- Test dataset creation
- Fairness metric evaluation
- Recommendations report
- Mitigation strategies
Content AI
6-week engagement
- Model selection & configuration
- Prompt engineering
- Brand voice guardrails
- Workflow integration
Supply Chain
10-week engagement
- Data integration
- Predictive modelling
- Visual dashboard
- Full documentation
Not Sure Which to Start With?
We're happy to talk through your situation and help you identify which engagement, if any, makes sense at this point. No obligation either way.
Speak to the Team