Tecban operates Banco24Horas, a critical financial infrastructure with about 24,000 self-service banking devices across Brazil. In this context, any AI initiative had to respect strict requirements for governance, security, compliance, availability, and traceability. Instead of allowing AI tools to spread informally, Tecban designed a corporate path for AI:

• Started with clear goals: increase productivity without compromising governance, security, or compliance.
• Moved from one-off experiments to a structured methodology for AI deployment.
• Defined a standard flow for every use case: demand registration → risk assessment → data sensitivity analysis → technical validation → production rollout.
• Involved HR, risk, process, security, and business teams from the beginning to build digital literacy and a responsible-use policy.

By embedding AI into day-to-day processes rather than treating it as a side project, Tecban avoided shadow IT and tool fragmentation, and created a repeatable way to scale AI safely across the organization.

Tecban chose to expand AI within the Microsoft ecosystem that already supported its digital operations. The priority was to reduce fragmentation and keep identity, data, security, and auditing under a consolidated platform. The rollout followed two main fronts:

• GitHub Copilot for development teams to accelerate coding and testing.
• Microsoft 365 Copilot and Copilot Chat to support business areas directly inside tools like Office 365.

This approach allowed Tecban to:

• Embed AI directly into familiar tools, improving adoption.
• Maintain centralized control over access, data, and auditing.
• Avoid a proliferation of disconnected external AI tools.

Over time, Tecban expanded with Copilot Studio to build specialized agents such as:

• Norbot for commercial and product pre-sales flows.
• Norminha for compliance standards.
• Clara for auditing support.
• Conecta RH for recruitment, selection, and internal HR services.
• A field technical assistant for Banco24Horas device operators.

By keeping everything within the Microsoft ecosystem, Tecban could reimagine work across teams while preserving strong governance and integration.

Tecban tracked results closely to ensure AI translated into tangible business value. Some of the key outcomes include:

• 98 AI use cases logged, with 35 already completed.
• More than 3,000 users onboarded overall and over 1,800 Copilot Chat users.
• 12,600 hours of assistance captured, estimated at about R$ 946,000 in value.
• In 11 of the 35 Microsoft 365 Copilot cases, business areas reported annual gains of about 5,808 hours, estimated at around R$ 800,000.
• Up to 30% productivity gains in development and about 14% gains in testing with GitHub Copilot.

On the task level, the impact was very visible:

• One analysis dropped from 4 hours 47 minutes to 2 minutes 35 seconds.
• Another went from 1 hour 35 minutes to 52 seconds.

Overall, Tecban reports up to 30–35% productivity improvements in key areas, turning work that used to take hours into tasks completed in minutes or seconds. These gains helped teams shift time from repetitive activities to higher-value analysis and decision-making, and set the stage for the next phase: more agentic AI working as a day-to-day partner in critical processes.