Documents and procedures
Manuals, procedures and archives become easier to search, summarize and verify in daily work.
AI Operativa 90
A real process. A 90-day pilot. A decision based on results.
A Sorgetech path to understand where AI can create real value, starting from one concrete process and keeping control.
Do not chase AI. Govern it.
Request a private assessmentAI is already inside the company. Often without a method.
The point is not whether to use it. The point is how.
What is happening?
- Someone uses it to write copy
- Someone uses it to summarize documents
- Someone uses it to analyze files, prepare drafts, speed up emails or automate small daily tasks
The risk
- Different tools
- Files uploaded without clear criteria
- Outputs that are not checked
- Data copied into external platforms
- High expectations, but few measurable results
The risk is not only “not using AI”. The risk is using it in a scattered way, without knowing where it creates value and where it creates confusion.
Do not start from tools. Start from the process.
When people talk about AI, many conversations begin with the wrong question.
Should we use ChatGPT?Do we need Copilot?Should we create an agent?Which model is better?Which platform should we buy?
They are legitimate questions, but they arrive too early.
A useful AI solution is not born from enthusiasm for a technology. It starts from a real operational friction: a repetitive task, information that is hard to find, a request handled manually every time, a document that must be read and reworked many times, company knowledge concentrated in a few people, or an internal flow slowed down by missing order and accessibility.
ProcessUse caseTool
AI should not be applied everywhere.
It works best where there are frequent processes, available information, repetitive activities and measurable outcomes.
Internal requests, support and tickets
Classifying requests, retrieving information and preparing answers requires fewer manual steps.
Customer care, assistance and after-sales
Technical answers start from internal sources and arrive sooner, without removing control from people.
Marketing, sales and reporting
Recurring content, summaries and reports reach a useful first version faster.
Automation of repetitive tasks
Predictable steps, extractions and standardized outputs can enter a controlled workflow.
A good use case must be frequent, repetitive, documentable, controllable and measurable.
How the path works.
- 01
Week 1
Assessment
Analysis of the process, tools and people involved.
- 02
Week 3
Use case
Definition of scope, usable data, expected outputs, limits and metrics.
- 03
Week 5
Pilot
Construction of the first workflow, internal assistant or operational prototype.
- 04
Week 9
Test
Trial with the people involved, feedback, corrections and measurement.
- 05
Week 12
Decision
AI proposes. Humans decide.
And the process remains governed.
A serious AI project cannot ignore data, responsibility and output quality. Governance is not bureaucracy.
It is operational common sense.
Before introducing AI, you need to define:
- 01Usable data
- 02Clear limits
- 03Defined responsibilities
- 04Human control
- 05Output quality
- 06Evaluation metrics
The path does not replace specialist legal, privacy or compliance work. It sets up a first operational pilot with clear criteria for control, responsibility and conscious use.
At the end you do not have a demo. You have a decision.
Outcome 1
Mapped use case
A clear map of the analyzed use case: starting process, observed problems, activities involved, available data and documents, constraints, risks, opportunities and expected benefits.
Outcome 2
Working pilot
A first working pilot or operational workflow, built on a specific scope and tested with real people in the organization.
Outcome 3
Minimum governance rules
An initial governance setup: what the solution can do, which data it uses, what its limits are, who checks outputs, where human intervention is needed and which conditions must be respected before scaling.
Outcome 4
Final assessment
A final assessment of results: what worked, what did not, which benefits emerged, which issues must be solved and which metrics can guide the next step.
Outcome 5
Operational roadmap
An operational roadmap: further development, integrations, training, new use cases, priorities and recommended steps.
The 2026 cycle: few companies, deep work.
AI Operativa 90 is designed for a limited number of structured industrial companies.
Only 10 pilots available for the 2026 cycle
It fits you if:
- You already have active processes
- You have documents, data or internal knowledge that can be used
- You have recurring activities or repeated requests
It is not for you if:
- You are looking for a generic course
- You want to “do AI” because it is fashionable
- You want a spectacular demo disconnected from daily work
