Of all the problems your company has today, which ones does AI solve best and fastest?

Turn routine processes into autonomous flows.

Protect your company by setting the ground rules for safe AI use.

Multiply your business's operational capacity with autonomous agents.

Optimize costs, compare models and ensure financial efficiency in AI projects.

Simplify and automate system processes, increasing productivity and efficiency.

Digital security for protection, encryption and corporate access management.

Articles, tutorials and news about technology, programming and artificial intelligence.

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Top cloud challenges across all respondents

Identify whether the tone is aggressive or signals an intent to take legal action.

Prepare your data

Select the data

Insert the PivotTable

Use the PivotTable fields

How to create a PivotTable in Excel (step by step)

<o>Custom</o> settings in Copilot M365

GENERATED RESULT

e) Suggested rewrite of a passage

The text is generally well written and correctly spelled. There are no obvious spelling errors. The technical terms and expressions fit the industrial context.

1. Spelling and grammar

a) Clarity and directness

b) Standardizing terms

c) Structure and formatting

d) Cohesion and coherence

2. Tips to improve the writing

Under knowledge you connect the agent to specific URLs, or restrict its search to trusted sources only. Finally, you can set up predefined titles and messages to guide the first-time user. That works as a strategic shortcut: with a single click, the user fires off complex commands.

To create agents in Copilot M365, the interface fields should be filled in with technical precision in mind. The name should be functional and the description should summarize the agent's specialty. The instructions should contain a step-by-step of how the agent is meant to work. This is also where you turn on tools such as the code interpreter and the image generator.

User Rules (e.g. Always respond in Portuguese)

In this training we also cover the Self-Consistency technique — ways of making the AI check its own work and fix mistakes before showing you the result.

In Brazil, 8 out of 10 companies still have no governance policies for AI, according to IBM's Cost of a Data Breach 2025 report. The study found that the average cost of a data breach in the country already reaches R$ 7.19 million, showing the size of the hidden risk of deploying AI without clear controls and compliance.

AI Governance training is essential: the pace of innovation has outrun organizational maturity. Departments need to agree on the same tools and on standardized use, and it has to be clear who approves and supervises those tools.

It focuses on text. It reads PDFs, meeting transcripts and emails. Ask "Why was this fund closed?" and it searches the research report and summarizes the reason.

It uses internal tools and APIs to run mathematical calculations or financial simulations in real time.

Its only job is talking to databases. It turns "What was the return of fund X in 2024?" into a real SQL query, making sure the number that comes back is exact and from the official source.

It reads the question first. It does not try to answer on its own: it analyzes the user's intent and decides which specialized agent to call. If the question is complex, it builds an execution plan, calling several agents in order.

STEP 4: Email extraction and export

STEP 1: Extracting data from Google Maps

STEP 3: Smart website scraping

STEP 2: Processing website URLs

Additional materials

4. Calculating the financial balance

5. Calculating the final penalty

2. Checking the grace period

3. Determining the penalty percentage

1. Identifying the remaining term

2. Technical architecture (LangChain)

4. Security and compliance

3. Data and knowledge management

1. Defining scope and goals

5. Testing and validation

Generated result:

Creates a template with variables between braces

1. Basic PromptTemplate

Declares several variables to be filled in later:

2. PromptTemplate with multiple variables

Pins some variables so you can reuse the template without specifying them every time:

3. Partial variables (predefined values)

TRAINING MODULES

Overview

This program addresses the critical need to prepare the organization for the integration of Generative AI, shifting the focus from software licenses to behavioral change. By focusing on maturity mapping and strategic communication, leaders will learn to transform fear of replacement into a commitment to professional evolution and operational efficiency.

ABOUT THE TRAINING

Empower leaders to structure change management initiatives that ensure the realization of technological ROI, mitigating cultural anxieties and establishing ethical guidelines that consolidate AI as a strategic pillar of the business.

Objective

Conducting organizational diagnostics to identify departments ready for acceleration and areas with greater resistance. The focus is to understand the psychological and operational barriers to automation, allowing for personalized team intervention.

Cultural Maturity Mapping

Development of corporate narratives that align AI vision with employees' career objectives. Techniques to demystify technology, reduce friction, and create a sense of shared purpose in the innovation journey.

Communication Strategy and Internal Narrative

Formalization of guidelines for the ethical use of artificial intelligence. Discussion on how transparency and accountability in data usage become competitive differentiators and pillars of trust inside and outside the organization.

Ethics and Governance in Business Strategy

Focus on monitoring the real impact. Strategies to ensure that financial investment translates into effective and sustainable use, accelerating the organizational learning curve and ensuring that GenAI becomes a mainstream competitive differentiator.

AI Adoption Programs