EmbedAI runs four kinds of engagement, built on the portfolio shown on the Verticals and Projects pages: executive AI awareness, hands-on upskilling for engineers, AI woven into the engineering workflow, and technical-leadership coaching toward an adoption roadmap. Every engagement moves through the same arc — awareness, experimentation, build, deploy, transform — starting with a conversation about where your team is.
AI Awareness & Executive Workshops
A practical, no-slideware introduction to generative AI for engineering and business leaders: relevant use cases, high-value adoption opportunities, and the real risks and limits. Proved end to end by the AutoMotivate workshop — the two-day build behind AutoMotivate, EmbedAI's AI upskilling practice for automotive R&D: 11 modules and 22 live demos on synthetic automotive data for a fictional company.
Engagement formats
- Keynote / AI awareness session
- 1–2 day corporate workshop
Audiences
- Engineering managers and R&D heads
- Technical leaders responsible for engineering transformation
- Organisations wanting hands-on workshops over generic awareness training
Evidence
A live, hands-on session, a shared vocabulary for AI adoption, and a short list of opportunities relevant to your own engineering work.
Describe the audience and the outcome you want; a session is scoped from there.
Hands-on AI Upskilling for Engineers
Prompting, AI coding assistants and developer CLIs, Python-based automation, computer vision and multimodal AI, and building AI-enabled prototypes. It is taught the way the portfolio itself was built: a trading platform, a coaching-video analysis system and a set of knowledge tools.
Engagement formats
- Multi-week technical bootcamp
- Project-based upskilling programme
- Mentored team pilot / proof of concept
Audiences
- Software and embedded engineers wanting practical AI skills
- Organisations wanting hands-on workshops over generic awareness training
Evidence
A cohort that leaves with a working prototype of its own, plus the habits and CLI workflow to keep building after the programme ends.
Bring one real, scoped problem from your own backlog; the bootcamp is built around it.
AI + Engineering Workflow Transformation
Putting AI into requirements, architecture, development, test automation, verification and documentation — placed inside the workflow, not bolted beside it. Proved by an applied-manufacturing knowledge platform and defect classifier, and by an on-device pipeline that makes long footage searchable by what was said.
Engagement formats
- Multi-week technical bootcamp
- Project-based upskilling programme
- Mentored team pilot / proof of concept
Audiences
- Engineering managers and R&D heads
- Technical leaders responsible for engineering transformation
- Automotive OEM and Tier-1 organisations adopting AI across development workflows
Evidence
A working pilot inside one stage of your own workflow, plus a plain-language account of what worked and what did not.
Name the workflow stage that hurts most; the pilot is scoped around it.
Technical Leadership & AI Adoption
AI capability assessment and skill-gap mapping, an adoption roadmap aligned to your programme goals, coaching for technical leads and managers, and help selecting and mentoring a pilot through to a measured outcome. Where the AutoMotivate practice and the manufacturing work meet: a roadmap for one or more stages of the automotive V-cycle, or a manufacturing engineering programme.
Engagement formats
- Leadership coaching
- AI capability assessment + roadmap
- Mentored team pilot / proof of concept
Audiences
- Engineering managers and R&D heads
- Technical leaders responsible for engineering transformation
- Automotive OEM and Tier-1 organisations adopting AI across development workflows
Evidence
A written capability assessment and roadmap, plus coaching for the leads who carry it forward after the engagement ends.
Share where your team sits today; the assessment starts from there, not a template.
