Team Onboarding
AI Workflow Foundations for Delivery Teams
A practical onboarding bootcamp for teams moving from scattered AI experiments to shared engineering habits.
₩3,800,000 · 2 weeks · Live remote plus implementation lab
Program description
Teams map current delivery friction, define responsible AI usage rules, and build a starter playbook that fits issue triage, implementation, review, and documentation. The emphasis is on repeatable workflow design rather than tool enthusiasm.
Best fit: 6-12 people, beginner level, focused on adoption strategy.
Responsible lead
Mina Park
Program Director with nine years guiding enterprise developer enablement programs.
Included features
- Workflow inventory and adoption map
- Team prompt library starter set
- Policy checklist for acceptable use
- Pairing labs with real backlog examples
- Rollout scorecard for managers
Implementation outcomes
- A shared AI usage policy draft
- A reusable delivery workflow map
- A manager-ready adoption scorecard
Questions teams ask
Can we use our own repository and workflow data?
Yes. Teams can bring sanitized examples, internal process notes, or non-sensitive pull requests. We do not require access to production systems.
What is not included?
The bootcamp does not replace security review, legal review, or procurement approval for a new AI vendor. It gives your team the working practices and rollout artifacts to support those decisions.
How much engineering time is expected?
Most teams reserve two half-days for live sessions and three to five hours for implementation labs between sessions.
Participant notes
The workflow inventory made our AI discussion concrete. The policy section was heavier than expected, but it gave managers language they could actually use.
J. Lim, Engineering Manager, SaaS analytics team
The backlog lab was the useful part because it exposed where our prompts were too vague for review work.
Anonymous, Enterprise product team