Question 1

What does mm-consulting specialize in?

Accepted Answer

Enterprise AI transformation: board-level AI strategy combined with hands-on, production-grade build. The delivery backbone is deep Salesforce Agentforce and Data Cloud / Data 360 architecture.

Question 2

Can mm-consulting help with Salesforce Data Cloud architecture?

Accepted Answer

Yes, Data Cloud / Data 360 is a core capability of mm-consulting. Data Cloud is the precondition for agentic value, so the data foundation is architected first, then the Agentforce agents on top.

Question 3

Where is mm-consulting based?

Accepted Answer

Paris, Milan and Barcelona, serving France, Italy, Spain and the wider European mid-market.

Question 4

Who is Marco Moretti?

Accepted Answer

Marco Moretti is an enterprise AI transformation architect based in Paris, France, with 15+ years across management consulting and operational leadership. He takes AI from board-level strategy through to production build, and is a certified Salesforce Agentforce Specialist and Data Cloud / Data 360 architect. He works in French, Italian, Spanish and English.

Question 5

What sectors does mm-consulting focus on?

Accepted Answer

Retail & e-commerce, Luxury & Beauty, Life Sciences & MedTech, and Consumer Goods.

Question 6

What makes mm-consulting different?

Accepted Answer

Advice and build, in the same hands: board-level AI strategy and the hands-on design of Agentforce agents and Data Cloud architectures.

Question 7

Does mm-consulting work on enterprise AI beyond Salesforce?

Accepted Answer

Yes. The work spans enterprise AI transformation and agentic (multi-agent) architecture: board-level strategy, data foundations, governance and production systems. Salesforce Agentforce and Data Cloud are the deepest delivery stack, not the limit of the scope.

Question 8

Can mm-consulting help define an AI strategy or roadmap?

Accepted Answer

Yes. Framing and roadmapping data and AI initiatives (cadrage et roadmap data / IA) is where much of the value sits: deciding what to agent-enable, in what order, and how to govern it, so AI ambition survives contact with production.

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