Process
How We Work: A Proven Four-Phase Approach
How We Work:
A Proven Four-Phase Approach
Activities:
Phase 1: Discovery
1-2 weeks
We immerse ourselves in your business to understand your challenges, opportunities, and technical environment.
We immerse ourselves in your business to understand your challenges, opportunities, and technical environment.
Stakeholder interviews with leadership and operational teams
Current process documentation and pain point identification
Deliverable
Opportunity Assessment Report with prioritized AI use cases
Technical infrastructure review
Competitive benchmarking
Data landscape assessment and quality evaluation
Activities:
Phase 2: Design
2-4 weeks
We develop a comprehensive strategy and technical architecture tailored to your needs and constraints.
We immerse ourselves in your business to understand your challenges, opportunities, and technical environment.
Solution architecture design
Data requirements specification
Deliverable
Detailed Implementation Plan with technical specifications
Success metrics definition
Project timeline and resource planning
Risk assessment and mitigation strategy
Technology stack selection
Activities:
Phase 3: Build
6-16 weeks
We develop, train, and rigorously test AI models to ensure optimal performance before deployment.
We immerse ourselves in your business to understand your challenges, opportunities, and technical environment.
Data collection and preparation
Model development and training
Deliverable
Fully functional AI solution ready for deployment
Integration development
User acceptance testing
Documentation creation
Iterative testing and refinement
Activities:
Phase 4: Deploy & Optimize
2-4 weeks
We launch your solution, train your team, and provide ongoing support to ensure long-term success.
We immerse ourselves in your business to understand your challenges, opportunities, and technical environment.
Production deployment
Team training and knowledge transfer
Deliverable
Live AI system with trained staff and support infrastructure
Initial optimization based on real-world data
Ongoing support and maintenance
Performance monitoring setup