AI · Training
AI Training & Integration
Hands-on training in tools like Claude, ChatGPT and n8n, plus flows that free up time in the repetitive parts of your operation.
Sound familiar?
2. AI tools paid for but barely adopted
3. Data spread across systems that don't talk to each other
How we do it
Clear scope, weekly deliveries.
Diagnostic of current processes and tools, design of flows with AI touchpoints, iterative implementation and live training sessions on your own cases.
Stack
- n8n
- Make
- OpenAI
- Anthropic Claude
- Google Gemini
- Zapier
What you get
Flows and agents in production
Automations connected to your systems, with monitoring and error handling.
Chatbots and data extraction
24/7 support, OCR + AI for invoices, contracts and forms.
Hands-on training by role
Marketing, sales, ops, HR: live sessions on your tools, with playbooks.
OpenAI, Anthropic and Gemini
We pick the model per use case, cost and privacy; we don't marry a vendor.
This service line
What we build
Examples of the kind of solutions we build; in the audit we pick the ones that apply to you.
Customer Support Chatbots
- AI agents that answer FAQs
- escalate tickets and run 24/7
AI-assisted Onboarding
- Customer or employee onboarding with less friction
- clear follow-up
AI Data Extraction
- Processing invoices
- contracts or forms with OCR + AI
Content Generation
- Pipelines that draft blog posts
- emails or descriptions
AI Reporting
- Assisted analysis of your data
- a weekly executive summary ready to share
Anthropic Suite Training
- Claude
- Claude Code
- Cowork — advanced prompting and agents in your flows
OpenAI Suite Training
- ChatGPT
- GPTs
- API
- Assistants — practical implementation by department
Specialized Tools Training
- Freepik AI
- Midjourney
- ElevenLabs
- Gamma
Role-based Custom Training
- Marketing
- sales
- ops
- HR — a tailored program on real flows
How ready is your team to work with AI?
6 questions, 2 minutes. At the end you will know what level your organization is at and which training program makes sense to start with.
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Strategy
Strategy
Is there a clear strategy for AI use in your organization?
How grounded AI use is in your business plan.
How the project runs
From kickoff to launch, step by step.
Estimated duration: 6-8 weeks
Step 1: Diagnostic
Process mapping, current tools and quick wins. Deliverable: opportunity report. Daniel leads workshops; Jesús assesses integrations.
Step 2: Flow design
Architecture of AI flows (RAG, agents, n8n). Client approval of flow design and prioritization.
Step 3: Implementation
Build of workflows and AI layers, integrations and test environments. Jesús oversees code and infra.
Step 4: Training
Hands-on sessions by role using the client's real tools. Daniel facilitates; material left in playbooks.
Step 5: Go-live
Production rollout, monitoring and improvement plan. Final client approval.
Results
What to expect at the end of the project.
Workflows in production with time-saving metrics
Team using AI consistently on key tasks
Documentation and handoff so they keep evolving
Ready to start?
AI opportunity audit: a 30-minute call and a report within 48 hours, no strings attached.