AI consulting helps a company understand, first and foremost, where artificial intelligence can generate a real advantage — not implement the latest novelty on principle. Process analysis, team training, tool selection: the starting point is always understanding what the company actually needs.

Many companies know they need to “do something with AI,” but have no method for figuring out where to start. Without consulting, the risk is experimenting with random tools, producing fragmented results and no coherent path.

The work is built across four phases, from listening to implementation.

Listening and Process Audit

Before proposing any tool, we listen to how the company works today: where time gets wasted, where processes are repetitive, where AI would actually help.

Setting Priorities

Not everything gets tackled at once: we define what makes sense to automate or support with AI first, and what can wait.

Team Training

An AI initiative with no training risks staying on paper: the team needs to understand how to use the tools, not just receive them.

Guided Implementation

The consulting doesn’t stop at a theoretical report: we support the company through implementing the projects identified as priorities, often in coordination with AI for SMEs activities.

Among our 20 cities, Bergamo is where we run the largest number of AI consulting engagements. For BG Service and Food Consulting, the consulting focused on optimizing internal processes — for Food Consulting, also with the development of an AI-based web tool. For Minelli Group, the engagement touched several fronts: from generating visual and video content to CRM, with AI applied to different processes across the group.

In Milan, for Heidelberg Materials Italia the consulting turned into CemGPT, the AI assistant for the cement industry — an engagement that starts from analyzing the business need and arrives at a concrete tool, used by the company’s own customers.

Different engagements by scope and goal, confirming that AI consulting only works when it starts from the company’s real processes, not from a standard package identical for everyone.

The main phases of our method:

• Listening and audit: how the company works today, where AI would help.
• Priorities: what to tackle first, what can wait.
• Team training, for real adoption.
• Guided implementation, not just theoretical consulting.
• Measurement: concrete results, not just tools switched on.

The work doesn’t end with the initial audit: the consulting supports the company through implementation, and the projects that come out of it often continue as AI for SMEs activities.

An initial process audit generally takes a few weeks; the implementation that follows depends on the complexity of the projects identified as priorities — from a few weeks for a targeted optimization, to a few months for engagements that touch multiple areas of the company.

The cost depends on the scope of the engagement: an audit on a single process requires different investment than consulting that supports the company across multiple fronts over time.

1. What does AI consulting actually do?

It analyzes company processes, identifies where artificial intelligence generates a real advantage, trains the team and supports implementation.

2. Where do we start if we’ve never used AI in our company?

From analyzing existing processes: understanding how the team works today, before proposing any tool.

3. Does the consulting also include team training?

Yes, it’s an integral part of the engagement: without training, tools risk being underused or abandoned.

4. Does the consulting also lead to concrete projects to implement?

Yes, the goal isn’t a theoretical report: we support the company through implementing the projects identified as priorities.

5. Do you only work with local companies, or remotely too?

AI consulting exists to give a method to a journey that would otherwise stay confused — not to “have AI in the company” on principle. Tell us about your project and we’ll help you figure out where to start.