In an increasingly fast-paced business environment, the decision to incorporate technology and artificial intelligence can transform the way we operate, serve our customers, and manage growth.

This note explains why technology and AI are crucial at this moment, who is impacted, and what context underlies their adoption. It affects customers, teams, and outcomes, and its scope includes operations, sales, and customer experience. The backdrop is the need for agility, personalization, and data-driven decisions in a dynamic market.

Key trends relevant to our growth powered by technology and AI: process automation and repetitive tasks through tools and RPA; data analytics and data-driven decision making; generative AI for marketing, design, and product development; data integration among systems for a unified view; governance, ethics, and security in AI to ensure compliance and trust.

• Process automation and repetitive tasks using specialized tools.
• Data analytics and business intelligence to monitor performance and opportunities.
• Generative AI for support in marketing, content, and product prototyping.
• Data integration across platforms for an integrated view of the business.
• Governance, ethics, and security in AI as foundations of trust and compliance.

Tools and platforms that facilitate implementation: process automation platforms (RPA); analytics and BI solutions; cloud AI services and AI APIs for integration into products and services; chatbots and digital assistants for sales and customer support; generative AI for content generation and prototyping; and security and compliance solutions to protect data.

• Process automation and RPA for repetitive tasks.
• Analytics and BI to monitor key metrics.
• Cloud AI and APIs for integration into proprietary solutions.
• Chatbots and assistants for customer support and sales.
• Generative AI for content, design, and prototypes.
• Security and compliance for responsible data management.

Practical strategies to start with AI and technology: map key processes and identify bottlenecks that technology can solve; select use cases with clear impact and execute controlled pilots; establish qualitative goals and simple metrics; design data governance and AI ethics aligned with organizational values; form interdisciplinary teams and assign roles for project management; and integrate data from various sources for a holistic view.

• Identification of prioritized processes and areas for improvement for automation.
• Selection of use cases with visible impact and well-defined pilots.
• Definition of qualitative objectives and simple KPIs to measure progress.
• Well-established data governance and AI ethics.
• Multidisciplinary teams with clear roles for AI projects.
• Data integration from various sources for a unified business view.

Consequences and future scenarios: the responsible adoption of technology and AI can increase operational agility, personalization, and customer experience; the lack of adoption could affect competitiveness and the ability to respond to market changes. In our approach, we continuously evaluate risks and benefits to advance sustainably.

Conclusion: advancing with technology and AI requires a disciplined framework: choosing impactful pilots, governing data, and learning from experience. Our goal is to start with clear priorities, measure results, and scale responsibly to drive sustainable growth of our organization. We invite you to review our initiatives and share ideas to move forward together.