How to choose your first AI pilot without losing months
A practical guide to deciding which AI pilot to try first, with controlled scope, manageable risk, and clear metrics.
Services to activate AI and automation with sound judgment
I work with companies and teams that want to move from scattered ideas to useful initiatives. Depending on the context, the work may start with diagnosis, a pilot, training, or deployment.
Diagnosis and prioritization
Who it is for: Companies and teams that want to understand where it makes sense to start before investing time, budget, or energy in an initiative that is too large.
I analyze processes, volume, data, risk, and operational context to detect where real value exists and what the next step should be. The goal is not to open a huge project, but to give you clarity and priorities.
- Discovery and workshops to understand processes, friction points, and opportunities.
- Prioritization of use cases or pilots based on impact, data, and risk.
- Practical reading of dependencies, governance, and likely blockers.
- A clear recommendation on where to start and what to leave for later.
Pilots and implementation
Who it is for: Companies and teams that already have a concrete opportunity and want to validate it with a useful, focused, and operable solution.
I design and deploy internal assistants, automations, and support systems that solve a real problem without turning it into an oversized project. The priority is for the solution to be usable, validatable, and ready to grow if it makes sense.
- Internal assistants and support systems built on documentation or processes.
- Automation of repetitive tasks and workflow steps.
- Pilots focused on quality, documentation, customer service, or operations.
- Validation, operational judgment, and governance from the start.
- Integration with existing tools when it creates real value.
Training, adoption, and governance
Who it is for: Companies and teams that need usage criteria, good practices, and real adoption, not just tools.
I work with teams so they understand how to use AI and automation with more autonomy, less risk, and a better level of execution. This includes training, usage frameworks, and practical guidance so the system does not depend on just one person.
- Tailored workshops and training for specific teams or roles.
- Usage guides, good practices, and examples adapted to the real context.
- Minimum validation, review, and governance criteria.
- Support to turn isolated experiments into stronger adoption.
