Duration
1–3 weeks
Enablement Assets
Playbooks, guides, prompt templates, rubrics, and knowledge bases built from your company's real context, so teams keep using AI autonomously after the workshop.
Service at a glance
Audience
HR/L&D, corporate universities, and team managers
Outcome
A material pack teams keep using after the workshop
Format
Assets
Who it's for
- HR, L&D, and corporate universities that keep content alive after training.
- Team managers who want to standardize good AI usage.
- Teams that need quick day-to-day reference, not just classroom time.
What's included
- Playbooks and usage guides
- Prompt and use case templates
- Rubrics for evaluating AI responses
- Workshop scripts and activities
- Internal knowledge bases for reference
How it works
- Surveying the team's recurring tasks and questions.
- Creating materials with examples from the company's real context.
- Validating with users and refining the language.
- Delivering everything organized for ongoing internal reference.
What you get
- Playbooks and usage guides
- Prompt and use case templates
- Rubrics for evaluating AI responses
- Workshop scripts and activities
- Knowledge base for internal reference
Frequently asked questions
Why invest in materials if the team already did a workshop?
Because adoption happens after the session: playbooks, templates, and rubrics give the team autonomy to keep applying AI day to day without depending on outside help.
Are the materials generic or customized?
Customized: examples come from the team's real tasks, which increases the chance of continued use after training.
Contact
To talk about this service, write to oi@dorly.com.br.
Other services
AI Adoption Strategy
Assessment, use-case selection, and program design to move AI from slides into team routines — with change management, metrics, and a follow-up rhythm to course-correct.
Learning Paths & Workshops
Hands-on sessions for technical and non-technical audiences, with real work examples, guided exercises, and reusable materials — the goal is leaving the session using AI on concrete tasks.
AI Prototypes & Demos
MVPs, automations, and demos to test an idea's value before scaling — using tools like ChatGPT, OpenAI API, n8n, TypeScript, and AWS to prove what works with a tight scope.
Metrics & Continuous Improvement
Metrics for usage, confidence, quality, and time savings to know whether AI adoption is working — plus a follow-up rhythm to update content and course-correct.