📊 Training Track · 16h · Remote or In-person

AI for Finance

From spreadsheets to strategic insights. AI transforms financial work.

Financial analysts, controllers, CFOs, accountants, auditors and financial planning teams

16h
Workload
Remote
Format
5 modules
Modules
The Problem

Your team is buried in data but starving for time to analyze it.

Monthly closing takes days. Reports are rebuilt from scratch every cycle. Anomalies are found after the fact. AI does not change the importance of financial rigor; it just removes everything that was slowing it down.

The financial sector lives on precision, speed and data. With AI, analyses that take hours now take minutes. Recurring reports become automated. Anomalies appear before closing. The result is a team with more time for strategic decisions and less time stuck in spreadsheets.

What it costs to not act now

  • Hours wasted on tasks AI already solves
  • Slower decisions while competitors move faster
  • Disengaged professionals burdened by operational overload
  • Missed opportunities from lack of real-time data analysis
  • Operational costs that could be drastically reduced
Results

What your finance team will achieve

Concrete, measurable results. No empty promises.

Financial reports generated in a fraction of the current time

More accurate variance analysis and AI-powered forecasting

Anomaly and error detection before month-end closing

Reduced rework with automation of recurring processes

CFO and financial leadership with more data for strategic decisions

Target Audience

Who is this track for?

This training was designed for professionals who want to use AI practically and immediately in their work, with no prior technical knowledge required.

  • Financial analysts and FP&A specialists
  • Controllers and finance managers
  • CFOs and finance directors
  • Accountants and auditors
  • Financial planning and budgeting teams
📊

AI for Finance

Training built from the inside out for your sector. Every example, use case and hands-on exercise is developed with the reality of Finance in mind.

16h
workload
5 modules
of content
Remote
or remote
Certificate
of completion
Methodology

How the training works

A 5-phase methodology, from literacy to real behavior change. Applied to the specific context of Finance.

01
Literacy
AI in finance: from basics to advanced, without unnecessary technicalities
02
Awareness
Mapping financial processes with the greatest automation potential
03
Application
AI for Excel/Sheets, data analysis, reports and forecasting
04
Results
Automatic dashboards, AI-generated analyses and more agile closing workflows
05
Metrics
Monthly closing time, forecast accuracy, errors avoided, analysis hours

100% contextualized content

All examples and exercises come from the Finance universe. No generic analogies.

Hands-on from day one

Each module has practical exercises. You leave the training with prompts, templates and workflows ready to use.

Measurable results

We define metrics before the training to measure the real impact in the weeks that follow.

Curriculum

Full track: modules and content

5 modules, 15 practical lessons. Total workload: 16h.

01
Module 1: AI Applied to the Financial Sector
  • The impact of AI on corporate finance
  • AI tools for analysts and controllers
  • Automating recurring reports with AI
02
Module 2: Analysis and Forecasting with AI
  • AI for financial data analysis and variances
  • Forecasting and budget planning with AI
  • Anomaly and fraud detection with AI
03
Module 3: Strategic Finance with AI
  • AI for M&A, valuation and investment analysis
  • Financial communication and presentations with AI
  • Compliance, audit and governance supported by AI
04
Module 4: Prompt Engineering from Basic to Advanced
  • Prompt fundamentals: structure, context and clear instruction
  • Advanced techniques: chain-of-thought, few-shot and role prompting
  • Prompts for finance: variance analysis, forecasting, reports and anomaly detection
05
Module 5: Data Governance and Responsible AI
  • Data privacy, financial confidentiality and AI tools
  • Traceability and auditability of AI-assisted decisions
  • Compliance and internal controls in AI adoption for finance

Want the full curriculum as a PDF or a custom proposal for your company?

Request a proposal
Who will train your team

Paolo Almeida

Innovation strategist with 19 years of experience in digital transformation and technology. Specialized in making AI accessible and applicable to teams in any area, no jargon, no unnecessary technicalities.

Has trained over 6,000 professionals across more than 60 companies, from startups to multinationals. Speaker, mentor and a leading reference in applied business AI in Brazil.

View full profile
19
years of experience
6K+
professionals trained
200+
trainings delivered
60+
companies impacted
FAQ

Common questions about this training

Answering the most common questions about the Finance track.

Do I need to know how to code?

No. The training focuses on using AI in Excel, Google Sheets and AI tools for analysis and reporting. Zero coding required.

Will the training cover AI for forecasting?

Yes. An entire module is dedicated to forecasting, budget planning and anomaly detection with AI.

Is it safe to use confidential financial data with AI tools?

The training dedicates a full module to data governance, covering what can and cannot be shared, and how to use anonymized data safely and compliantly.

How quickly will the team see results?

Teams consistently report significant time savings on report generation and data analysis from the very first week after the training.

Can the training be adapted for specific ERP systems like SAP or Oracle?

Yes. We adapt the examples and workflows to the company's specific systems and processes.

Available for companies and teams

Ready to bring AI
to your team?

Each training is tailored to your company's reality.
Let's talk about what makes sense for your team.

No cost for an initial conversation. Response within 24h.

Training for companies of all sizes · In-person and remote · Customized for your sector