03 · Product · AI
Training is the beginning. Results come from the project.
We prepare leaders and teams to use AI safely and with a clear method, turn the best ideas into solutions with business areas, and track adoption until gains show up in the metrics.
When it makes sense
Your company already pays for AI. Does the team know what to do with it?
Tools without adoption
Licenses are available, but people still do not know where AI helps in their daily work.
Training that ends in the classroom
The team understands the concepts, but no process changes after the session.
Ideas without priorities
Each area proposes different use cases without shared criteria for impact, effort and risk.
Pilots without measured results
Interesting prototypes do not reach operations or prove adoption, quality or return.
Capabilities and deliverables
From AI literacy to production
Talk and leadership workshop
Company-wide awareness and leadership decisions about where AI creates business value.
AI Skills training
Practical learning for employees, using company cases and safe-use rules in every module.
Opportunity map
Each area records processes, pain points, volume, available data and expected gains.
AI-assisted screening
Ideas are grouped and assessed by return, impact, timing, complexity, data and risk.
Joint development
Mixed squads turn prioritized cases into solutions used by business teams.
Adoption, governance and gains
Metrics, human oversight, access rules and new cycles keep the AI roadmap moving.
AI Skills
Four skills for applying AI at work
The program combines concepts, practice and safe-use rules. Exercises use the company's real documents, data and workflows.
AI Foundation
Concepts, applications, limits, risks, security and data protection.
AI Prompt
Precise instructions and a prompt library for the team's routine.
AI Automation
Opportunities to integrate AI into workflows without code.
AI Agents & Coding
Agents, dashboards and prototypes created with AI support.
How we work
A three-phase program, from learning to measured results
- 01
Learn and discover
In 4 to 6 weeks, leaders and teams learn, map opportunities and prioritize the portfolio.
- 02
Build together
In 8 to 12 weeks, selected cases move through sprints from prototype to real use.
- 03
Track and scale
Adoption and gains are measured while new cycles renew the AI roadmap.
Take AI from discussion into operations.
In one conversation we assess the team's current level, the most promising opportunities and the best starting point.
Design the AI programFormat, duration and number of projects are adjusted to each company's context and prioritized portfolio.