AI Services With Defined Scope, Timeline, and Price
Each service is structured around a specific AI challenge. We cover what each includes, how it runs, and what you get at the end.
Back to HomeHow Every mynexadra Engagement Runs
Scope agreement in writing
Data review and preparation
Development with check-ins
Testing against agreed metrics
Handover session and documentation
Conversational AI Audit
A detailed review of your existing chatbot or virtual assistant to identify where it falls short and why. We analyse conversation logs, map intent coverage, assess response quality, and produce a prioritised improvement plan your team can act on — whether with us or independently.
What's included:
- Conversation log analysis (up to 500 sessions)
- Intent coverage mapping against your use case
- Response quality scoring per intent category
- User satisfaction indicators from interaction patterns
- Written prioritised improvement plan
- Handover walkthrough session
Process steps:
Data access agreement and log export from your platform
Automated intent classification and gap analysis
Manual review of edge cases and failure patterns
Improvement plan drafting, review, and final delivery
Teams that have already deployed a chatbot or virtual assistant and want to understand why it is underperforming before investing further in development.
Operations where visual inspection, counting, or classification is a recurring manual task — manufacturing quality control, retail footfall analysis, content moderation, and similar use cases.
Computer Vision Pipeline
End-to-end development of an image or video analysis system specific to your use case. We cover data annotation strategy, model selection and training, performance validation, and deployment as a scalable REST API. You receive the code, the trained model, and documentation to operate and retrain it.
What's included:
- Data annotation strategy and tooling setup
- Model architecture selection and justification
- Training pipeline with versioning
- Performance validation against agreed thresholds
- Scalable REST API deployment
- Full source code and model weights transfer
- Retraining guide and operating documentation
Process steps:
Use case scoping and data inventory review
Annotation pipeline setup and initial labelling
Model training, iteration, and performance testing
API development, integration testing, and deployment
Handover session with documentation
Personalisation Engine
Creation of an adaptive content or product recommendation system based on real user behaviour and context. We design the user segmentation logic, build the real-time scoring layer, and integrate with your existing front-end. A post-launch optimisation period is included to refine the system against live traffic.
What's included:
- User behaviour data audit and segmentation design
- Recommendation algorithm development
- Real-time scoring logic with low-latency design
- Front-end integration with your existing platform
- A/B testing setup for validation
- Post-launch optimisation period (2 weeks)
- Full source transfer and documentation
Process steps:
Behavioural data review and segmentation planning
Algorithm development and offline evaluation
Integration and A/B test configuration
Launch, monitoring, and 2-week optimisation
Handover with documentation
Digital platforms — e-commerce, media, or content portals — that have meaningful user traffic but are serving the same content to everyone regardless of behaviour or preference.
Feature Comparison
| Feature | AI Audit | Vision Pipeline | Personalisation |
|---|---|---|---|
| Existing system required | |||
| Custom model training | |||
| API deployment included | |||
| Front-end integration | |||
| Written improvement plan | |||
| Post-launch support included | |||
| Fixed price (MYR) | 950 | 4,500 | 3,200 |
Technical and Professional Standards
Data Security
All client data handled under confidentiality. NDA available on request.
Version Control
All developed code maintained in version-controlled repositories throughout the engagement.
Performance Metrics
Success thresholds agreed at scoping and verified before handover.
Full Code Transfer
All source code and assets transfer to client. No retained licensing or dependencies.
Not Sure Which Service Fits?
Send us a brief description of the problem and we will help you figure out whether it falls within one of these services — and if not, we will say so.
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