AI Adoption Strategy
Assessment, use-case selection, and program design to make AI part of how teams actually work
- 2–6 weeks
- Leadership, HR/L&D, and transformation sponsors
- Use-case map, adoption plan, and follow-up rituals
Adoption, learning, and hands-on work
My work connects training, product, and implementation. I turn AI into clear use cases and create the materials, routines, and prototypes that help teams move from interest to adoption.
About Dorly CurvelloChange Readiness
Readiness assessment, use-case design, and alignment across technical teams, business stakeholders, and leadership.
AI Enablement
Needs assessment, programs, learning paths, and workshops for audiences at different levels of expertise.
AI Prototypes & Demos
MVPs, automations, and demos that test ideas before scaling.
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Key outcomes of my work
Learning Paths & Workshops
Hands-on tracks and sessions for different audiences and maturity levels
- 2–8 hours per session
- Technical and non-technical teams, leaders, and business units
- People using AI on real tasks with reusable materials
AI Prototypes & Demos
Tools, workflows, and demonstrations to test value before scaling
- 1–4 weeks
- Product, innovation, operations, and technical leadership
- MVP or demo that proves value, limits, and effort before scale
Enablement Assets
Playbooks, guides, templates, rubrics, and reusable materials that build user autonomy
- 1–3 weeks
- HR/L&D, corporate universities, and team managers
- A material pack teams keep using after the workshop
Metrics & Continuous Improvement
Metrics for usage, engagement, learning, and business impact
- Ongoing / quarterly
- Sponsors, HR/L&D, and area managers
- Adoption dashboard with usage, confidence, and impact signals
Articles about at workAI adoption
Practical guides from my blog (written in Portuguese): adoption, prompting, metrics, security, and AI trends at work, always focused on real usage.
Why AI projects fail in companies (and what the 5% do differently)
An MIT study found 95% of generative AI pilots deliver no return. The problem is rarely the model: it's the project design.
Workslop: the shallow AI-made work that is costing companies dearly
Workslop is AI-generated work that looks done but pushes the effort onto the recipient. The cost is invisible until you measure it.
How to write good prompts for work: a guide for non-technical teams
A good prompt is a good brief. The 4-part model (context, task, format, and criteria) for useful answers on the first try.