AI Enablement
We prepare your team for the agentic era: we train AI Enablers, Agent Owners, and an internal community of builders who create and govern their own agents.
Build the Roles Your Company Needs to Work with AI Agents
The challenge
AI agents are reshaping roles inside companies. Buying a tool is no longer enough: someone has to drive adoption and be accountable for each agent's value.
Our answer
We design the roles you need with you, such as AI Enablers, Agent Owners, and a builder community, and train them on real cases from your operations.
- AI Enablers
- Agent Owners
- Builder community
How we start
- 01Maturity and roles assessment
- 02Training on real cases
- 03Playbooks and governance to scale
What it looks like in your industry
Situation
Several teams bought AI tools, but hardly anyone uses them.
What we do
- We train AI Enablers who drive adoption in each area.
- We define a catalog of approved agents and their usage rules.
Result
Governed adoption without data risks.
Situation
The operations team wants to automate its own processes.
What we do
- We teach them to build agents with visual tools like Langflow.
- Each participant builds on a real case from their area.
Result
Working agents by the end of the program.
Situation
An institution has agents in use with no business owner.
What we do
- We assign Agent Owners for each area.
- We define what each agent should achieve and how its value is measured.
Result
Every agent with an owner and a metric.
Illustrative example
Our process
Maturity and Roles Assessment
We assess how your company uses AI today, which areas have the most potential, and which roles you need to scale with agents.
AI Enabler Training
We prepare the people who will drive adoption in each area: they spot opportunities, support their teams, and share best practices.
Agent Owners by Area
We define business owners for each agent: what it should achieve, how its value is measured, and when a person needs to step in.
Internal Builder Community
Your team learns to create agents and automations with visual tools like Langflow and reusable skills, without always depending on IT.
Playbooks and Governance
Usage policies, a catalog of approved agents, and security and data rules so adoption grows without losing control.
Learning by Building
Training happens on real business cases: the program ends with working agents, not just certificates.
What we've achieved
At *CompetitivAG* we created a Builders course on Microsoft 365 as a business automation pilot: business users learning to automate their own processes. That same combination of technology and people is what we apply to help your company adopt AI agents sustainably.
