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. Our team conducts an in-depth analysis of your data ecosystem including structured data (e.g., CRM, ERP systems), unstructured data (e.g., customer interactions, text, images), and any third-party datasets you may use.

2. Assess initial models


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

Model Creation: Demonstrate how predictive models can be built and deliver insights within hours.

AI Opportunity Mapping: Using a structured framework, we identify high-impact areas where AI can deliver measurable value. This involves prioritizing opportunities based on factors like data availability, feasibility, and alignment with business goals.

3. Deliver actionable roadmap


Feasibility Analysis
: For the top-priority opportunities, we conduct a high-level feasibility analysis to assess readiness for AI adoption. This includes evaluating 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.