Informal and dispersed use
Each person tries tools on their own. Some work, others don't. Nobody shares learnings and the company doesn't capture knowledge.
AI Training & Team Enablement
We design practical AI training programmes so executives and teams learn to use intelligent tools with judgement, safety and real business application.
AI adoption doesn't start by installing tools. It starts by helping people understand where it adds value, how to integrate it into their tasks and what limits they must respect to use it well.
Programmes adapted to management, operational teams, marketing, sales, innovation, HR or technical areas. No futurist hype. Real cases and applicable exercises.
Not sure yet about your company's AI priorities? Start with Orbit Discovery Sprint.Many companies think they're still "evaluating AI". In reality, part of their teams are already using ChatGPT, Gemini, Claude or other tools to write, summarise, analyse or decide. The risk isn't just in using AI. The risk is in using it without context, without judgement and without clear rules.
Each person tries tools on their own. Some work, others don't. Nobody shares learnings and the company doesn't capture knowledge.
AI can save hours, but if each team uses it improvised, the impact stays in small individual improvements, not organisational capability.
Copying sensitive information into public tools, accepting unverified responses or using outputs without judgement can create real problems.
Many trainings explain what AI is, show flashy tools and end with applause. Two weeks later, almost nothing has changed.
AI Training & Team Enablement combines practical training, adoption strategy, productivity, business processes and applied innovation. The goal isn't for the team to "know about AI". The goal is for them to know how to use AI to work better, decide better and collaborate better. We design sessions and programmes adapted to each company's level: from executives who need to understand opportunities and risks, to teams that must apply AI in specific tasks in marketing, sales, operations, HR, documentation or analysis.
> Improve real productivity
> Reduce improvised AI use
> Create internal judgement
> Detect use cases by team
> Teach good prompting practices
> Protect sensitive information
> Translate AI into concrete business processes
> Prepare the team for future internal tools
AI doesn't transform a company because someone installs a tool. It transforms it when the team learns to think and work with it.
Not all companies need the same depth. We can work from executive sessions to applied programmes by department.
Session for management, CEOs, executive committees or founders who need to understand the strategic impact of AI without unnecessary technical detail.
Ideal: General management, directors, partners, executive committee.
Focus: Opportunities, risks, productivity, privacy, decision-making, roadmap and use cases.
Practical workshop to improve individual and team productivity using AI in day-to-day tasks.
Ideal: Administrative teams, marketing, sales, operations, managers and knowledge profiles.
Focus: Prompts, information analysis, summaries, communication, planning, documentation and reporting.
Training adapted to a specific area of the company.
Ideal: Marketing, sales, HR, technical support, operations, product or innovation.
Focus: Specific use cases, workflows, recommended tools, limits and department-specific exercises.
Broader programme to accompany AI adoption within the company.
Ideal: Companies that want to train teams, detect use cases and create an internal culture of responsible experimentation.
Focus: Progressive sessions, exercises, internal cases, usage guides, best practices and adoption roadmap.
Practical workshop to learn how to get better results from AI models without staying at surface-level tricks.
Ideal: Teams that already use AI but want to improve quality, precision and consistency.
Focus: Prompt structure, context, examples, criteria, iteration, review and professional outputs.
Practical lab to explore AI tools applied to real processes.
Ideal: Teams that want to experiment with AI, automation and digital tools before defining larger projects.
Focus: Practical cases, tool selection, risk analysis, workflows and next steps.
Training designed for real adoption, not to fill an agenda.
OrbitEnable Method is our process to train teams in AI in a practical, progressive way connected to their business context. We don't start by teaching tools. We start by understanding who will use AI, for what, with what risks and in which processes it can generate impact.
01
We understand the team profile, their current level, their tools, their processes and their main friction points.
Training approach adapted to the company's real context.
02
We work on specific use cases and exercises applied to the team's real tasks.
Practical examples and skills applicable from day one.
03
We create usage criteria, limits, best practices and recommendations to avoid common mistakes.
Operational AI usage guide for the team.
04
We accompany adoption with materials, exercises, follow-up sessions or next steps according to maturity level.
Team trained to keep applying AI with more autonomy.
Good training doesn't end when the session ends. It ends when the team changes how they work.
You want your company to advance in AI without depending on isolated initiatives, trends or directionless experiments.
Clear vision, better adoption and more prepared teams.
You want teams to use AI without opening unnecessary security, privacy or technical dependency risks.
More controlled use, better practices and less operational chaos.
You need to train teams, reduce resistance to change and prepare the organisation for new ways of working.
Practical training, progressive adoption and greater internal confidence.
You want your small team to produce more, think better and use AI as an operational advantage from the start.
Speed, focus and capability without over-dimensioning structure.
You want to turn curiosity about AI into useful experimentation, use cases and actionable pilots.
Applicable ideas, method and connection with business objectives.
Each programme adapts to the company's maturity level, team profiles and adoption objectives.
✓ Executive strategic AI introduction session
✓ Practical AI productivity workshop
✓ Department-specific training
✓ Use cases adapted to the company
✓ Practical exercises with real tasks
✓ Business prompting guides
✓ Privacy and responsible use criteria
✓ Initial opportunity map by team
✓ Tool recommendations
✓ AI work templates
✓ Team support materials
✓ Q&A session
✓ Learning evaluation
✓ Next steps proposal
✓ Optional follow-up sessions
We design applied training, with clear limits and connected to each team's real work.
We don't design training around trendy tools. First we define needs, tasks and risks.
We teach what information should not be shared, how to work with sensitive data and how to distinguish safe uses from reckless ones.
AI can assist analysis, writing and decisions, but human judgement remains a central part of the process.
We prioritise applicable exercises, not endless theory or spectacular demonstrations nobody will repeat.
A CEO, a sales team, HR or technical support don't need to learn the same thing. We adapt content to the role.
AI doesn't eliminate judgement. It demands it.
It can adapt to both. Many programmes are designed for non-technical profiles who need to apply AI in business, communication, analysis, productivity or management tasks. We can also work with technical teams if the objective requires more depth.
Yes. We can deliver in-person sessions in Barcelona and surrounding areas, as well as online or hybrid formats for distributed teams.
It depends on the objective. We can work with ChatGPT, Claude, Gemini, Perplexity, automation tools, internal assistants or specific company platforms.
Yes. In fact, it's usually more effective. Marketing, sales, HR, operations or technical support have very different needs. Role-based training avoids generic content.
Then it may make sense to start with a diagnostic session or Orbit Discovery Sprint. Training works best when connected to real business objectives.
Tell us which profiles you want to train and what you want to improve with AI.
Not sure yet about your company's AI priorities? Start with Orbit Discovery Sprint.
The difference isn't in knowing which button to press. It's in knowing when to use AI, how to ask it for value, how to verify results and how to integrate it into real processes. If you already know which team you want to train, we design the programme. If it's still not clear where to start, we can help you define it.