Insights

The cost no one accounts for: manual processes in large enterprises

Key takeaways Almost no company knows the monthly cost of keeping manual processes that could already be automated. Per McKinsey, employees spend on average 1.8 hours a day searching for or re-entering data across systems. Gartner estimates 60–80% of IT budgets go just to maintaining existing systems, leaving little for innovation. In large enterprises, manual […]

Companies Using SAP Don’t Need More Technology. They Need Smarter Operations.

Key takeaways For SAP-using companies, the bottleneck usually isn’t the ERP — it’s the manual processes and disconnected systems around it. The priority today isn’t innovation as a slogan, but operational efficiency, system integration and real ROI. SAP itself is pointing toward AI integrated into the business context (Business AI), not as an isolated tool. […]

Where It All Began: How Frustration Gave Rise to Doois and Took Us to the World

Where It All Began: How Frustration Gave Rise to Doois and Took Us to the World Doois wasn’t born from a meticulously calculated business plan. It emerged from a very real frustration—one that many of you, leaders and managers, have likely felt. Back in 2008, I, David Dieguez, was leading the technology area at Iniciativa […]

Shopify, WooCommerce or Medusa

Key takeaways Shopify, WooCommerce and Medusa are the three leading e-commerce platforms in 2025 — each with trade-offs. Shopify: simplicity, cloud infrastructure and strong performance — ideal for agility and predictable costs. WooCommerce: flexibility and advanced SEO within the WordPress ecosystem — full control, but needs a more technical team. Medusa: headless, open-source architecture — […]

Accelerating AI Adoption in Brazil

Key takeaways There’s a gap between AI’s potential and real adoption: 9 in 10 employees already use generative AI, but only 13% of organizations see themselves as pioneers (McKinsey). Brazil leads AI adoption in Latin America (40% of companies), with the government planning R$23 billion through 2028. Scaling AI depends less on technology and more […]