1. Discover data and operations


Kickoff Workshop: Understand your business objectives and align on key opportunities.

Data Inventory: Quickly analyze your structured data for untapped potential, including structured data (such as sales receipts, product inventories, mailing list campaigns), unstructured data (customer emails or support requests, product descriptions), and relevant third-party datasets that may benefit your business, such as weather or geographic information.

2. Assess initial models


Bottleneck Identification: Highlight areas where AI can deliver immediate value, such as customer acquisition, supply chain management, or product development.

Model Creation: Build predictive models and get initial insights within hours.

AI Opportunity Mapping: Using a structured framework, we prioritize opportunities based on factors like data availability, feasibility, and alignment with business goals.

3. Deliver initial results and roadmap


Feasibility: For the top-priority opportunities, a proof-of-concept assesses readiness for AI adoption, including the quality of available data, potential AI models, and required infrastructure.

Strategic Recommendations: We identify areas where AI adoption can drive immediate value and steps to address data or process gaps, along with suggested tools, technologies, and partners to consider.