Objective
Turn selected AI use cases into working, scientifically-grounded pilots.
Step-by-Step Approach
SOLUTION DESIGN
Translate use cases into innovative solution architectures:
- Technology and scientific literature state-of-the-art analysis;
- Assess the scope of scientific research needed to achieve the objectives.
PROTOTYPING
Build PoC/MVPs:
- Develop and validate models using real data;
- Iterate based on feedback from company’s team.
EVALUATION
Test the pilot (PoC/MVP):
- Design the experimental tests;
- Build a data generator from real data;
- Evaluate the pilot performance.
INTERNAL ADOPTION
Help company’s team prepare for rollout:
- Technical handover;
- Documentation & training;
- Risk and impact assessment.
Outcomes
- Working Poc/MVP tailed to company’s context;
- Clear implementation roadmap and integration plan;
- Technology transfer and support for internal adoption.
Explore the other phases of the AIRIC AI Journey
AI Adoption Journey
From Insight to Need:
AI Advisorship
Support your organization in making confident, informed decisions throughout its AI journey.
AI Adoption Journey
From Need to Idea:
AI Discovery
Help your organization discover where and how AI can create measurable value.
AI Adoption Journey
From Need to Capability:
AI Education
Empower company’s people with the knowledge, mindset, and tools needed to drive AI transformation from within.
