Overview
A structured 8-week engagement designed to discover prioritized AI use cases based on impact and feasibility, select the best technical architecture and AI model, and develop a functional AI prototype using AWS AI/ML tools with a roadmap for full-scale production.
Key Activities:
Phase I: Discovery (1 - 2 weeks)
We will conduct an initial consultation to understand business requirements and define the expected outcomes. We will evaluate available data, assess technical complexity to determine infrastructure, AI model requirements, AWS recommendations, and generate a prioritized use cases list based on business impact and feasibility.
Key deliverables
- Data readiness report
- Technical feasibility assessment report
- Prioritized AI use case list
Phase II: Develop (3 - 7 weeks)
We will select the appropriate AI model, define the AWS AI/ML tech stack, and design solution architecture for prototype development. We will conduct real-world testing and iterate based on feedback. At the end of this phase, you will have the validated prototype.
Key deliverables:
- AI model selection ( pre-trained, fine-tuned, or custom trained)
- Solution architecture document
- Validated prototype for prioritized use case
Phase III: Implementation (8 weeks)
We will document the findings and create a scalability roadmap to transition from prototype to full production.
Key Deliverables
- Scalability roadmap
- A long-term AI strategy
Highlights
- Discovery: Assess data, AI model needs, infrastructure, and identify top AI use cases.
- Develop: Select the AI model, AWS AI/ML stack, and define architecture.
- Implementation: Build, iterate, validate, and plan full-scale implementation.
Details
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Pricing
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