Step 1
Discovery & Analysis
Audit and understand the challenges and needs of your organization
Strategic recommendations for AI application development
Step 2
Data Exploration and Structuring
Development of data ingestion and preprocessing components
Sanitization of data into digestible databases for application development
Step 3
Product Development
Technical development of proprietary AI applications
Embedding generation
Semantic search engine development
AI application UI/UX Design
Step 4
Testing and Feedback
Focused testing and feedback collection
Prompt testing and guidance refinement
Identification of successful response indicators, bugs, and hallucinations
Optimize for implementation
Step 5
Implementation
Deployment of application suite
Team training sessions and onboarding
Technical AI workshops for IT and data teams
Step 6
Scale
Development of scaling roadmaps for integrated AI solutions
Vendor sourcing and scaling partner introductions