Project story
AI agents for product operations
Agent orchestration focused on operational gains and governance.
The scenario and the challenge
Our teams spent hours every day manually copying, classifying, and summarizing information. It was repetitive, exhausting work that delayed important company decisions.
Our bet
If we created Artificial Intelligence agents to do this tedious work, we could free up our team's intelligence to solve strategic problems, reducing exhaustion and operational errors.
How we found the path
- We closely observed the routine of those suffering from this manual work.
- We talked to leadership to understand where delays hurt the most financially.
- We coldly analyzed which decisions the AI could make alone and which required human review and sensitivity.
The built solution
- We designed AI agents focused on specific tasks (one just to summarize, another just to classify).
- We established strict safety rules: the AI organized everything, but critical decisions only moved forward after an expert's "ok".
- We set up simple dashboards to track the time saved per day.
The tough choices
- We chose not to automate 100% of any process, ensuring safety at the cost of some speed.
- We spent more initial time teaching and tuning the AI commands than building screens.
The real impact
- The average time to process information dropped absurdly.
- The team reported relief in workload and could focus on more empathetic and strategic customer service.
What I learned
Adopting intimidating technologies (like AI) becomes easy when you invite the team to teach the machine. The feeling of control reduces the fear of being replaced.