NoCode & AI Consulting

Make Your Business Data AI-Ready

Make Your
Business Data
AI-Ready

This offer comes from our real data modeling projects in the food industry, conducted with business, IT, and data teams. It combines hands-on industrial experience with the Engage Meta open-source methodology, including the Semantic Processing Unit (SPU) and Reasoning Processing Unit (RPU) frameworks, to help companies make their business data understandable and usable by AI.

Before scaling AI, make sure your business data is ready for AI.
Many companies want to use AI, but their data is often unclear, fragmented, or difficult to interpret. In 3 half-days, your teams discover why business data modeling matters for AI, apply it to your own company context, and leave with a clear roadmap for the next step.
OUR APPROACH

From Business Language to AI-Ready Data

Business Vocabulary

Clarify the key words your teams use.

Shared Business Meaning

Align definitions, rules, and relationships.

AI-Usable Data Structure

Prepare your data so AI can understand and use it.

THE PROGRAM - 3 HALF-DAYS

1
1/2 Day 1

BREAKTHROUGH - AI DATA AWARENESS SESSION

Objective: Help participants understand why data modeling is essential to make business data usable, reliable, and profitable for AI initiatives.

Duration:4h

Audience:Business & IT stakeholders.

3 lessons to discover:
  1. Why data modeling is essential for profitable AI initiatives
  2. How to build a semantic API for your AI systems
  3. The architecture principles of a unified data repository - ODS
2
1/2 Day 2

IMMERSION - COMPANY CONTEXT WORKSHOP

Objective: Assess the client's context and readiness to implement data modeling for AI, using a practical checklist and discussion around their existing data, IT, and business situation.

Duration:4h

Audience:Business, IT, Data, and HR stakeholders.

Recommended group size:Around 10 participants.

3 lessons to discover:
  1. Audit checklist for your IT and data context
  2. First assessment of your data modeling readiness
  3. Draft action plan for training and technical tools
3
1/2 Day 3

PRACTICE - HANDS-ON MODELING SESSION

Objective: Apply the data modeling approach on a small, selected business use case and understand the practical challenges, benefits, and process of semantic data modeling.

Duration:4h

Audience:Selected business, IT, and data participants.

Recommended group size:3-5 participants.

3 lessons to discover:
  1. First small-scale practical modeling case
  2. Challenges and benefits of data modeling
  3. Detailed explanation of the SPU modeling process
WHAT YOU GET
  • A clearer view of your AI-readiness
  • One selected business use case
  • A first business data model
  • A practical roadmap
DZOUOU Vinci Savitri profile photo
DZOULOU Vinci Savitri AI-Ready Data Modeling Consultant Founding Member - Engage Meta

Helping companies structure business data for AI.

Contact: [email protected] (+84) 862965781

TESTIMONIALS

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