CTG-Informática Services
Build the organizational muscle to adopt AI from within.
We help organizations move beyond passive training and traditional consulting by developing awareness, creative confidence, and an intrapreneurial attitude in their own teams.
What it is
This service is for organizations that know AI matters, but do not want adoption to depend only on external consultants or isolated experiments. The goal is to activate internal talent: people who understand the business, see the friction in daily work, and can imagine better ways to create value with AI.
Our philosophy
We work with the creative and technical capital already present in the organization. Awareness opens the door; an intrapreneurial attitude gives people permission to explore; disciplined experimentation turns promising ideas into action.
Shared understanding of AI possibilities, risks, limits, and strategic relevance.
Teams identify pain points, decision bottlenecks, and work worth improving.
Ideas are shaped as internal ventures with users, value, risk, and adoption logic.
Small experiments test feasibility before the organization commits heavily.
Successful concepts move toward governance, integration, and production planning.
Program components
Short, concrete sessions that translate AI concepts into business implications, risks, opportunities, and decision criteria.
Workshops to identify candidate use cases, evaluate value and feasibility, and prioritize experiments that are realistic for the organization.
Guided sessions where employees turn business problems into AI-enabled concepts, prototypes, and adoption narratives.
Support to define architecture, data needs, governance, validation criteria, and the next steps toward production or institutional adoption.
Governance principles for privacy, security, transparency, human oversight, and sustainable use of AI in real organizational contexts.
Expected outcomes
Leaders and teams can discuss AI opportunities with less hype and more precision.
The organization has candidate initiatives ordered by value, feasibility, and risk.
People inside the organization gain confidence to lead experimentation and adoption.
Delivery model
Build a shared understanding of AI, strategic priorities, and adoption concerns.
Identify use cases, assess readiness, and choose opportunities with credible impact.
Guide internal teams as they frame ideas, test assumptions, and create prototypes or concept briefs.
Translate the strongest ideas into governance, data, technology, people, and implementation steps.
Engagement formats
Focused sessions for leaders or teams that need a practical, non-hyped understanding of AI and its implications.
A guided sprint to discover opportunities, form internal teams, and turn selected ideas into prototypes or actionable concept briefs.
A broader program combining awareness, use-case portfolio design, internal innovation labs, governance, and adoption roadmaps.
Next step
Bring a strategic challenge, a team that wants to explore AI, or a set of business problems that deserve a fresh look. We can help shape the right entry point.