AI Enablement Engagement

Session 1 — Discovery & Current-State Assessment (Detailed Agenda)

Total Duration: 2 hours (120 minutes) Phase / Week: Phase 1, Week 1 Format: Remote working session, interview-driven Required attendees: Named learning bed developer and domain expert (from Session 0), architect, DevOps engineer, security stakeholder

Pre-session prep (Turner)

  • Share high-level architecture diagram for the learning bed product
  • Provide read access to its Azure DevOps boards and pipelines
  • Send links to any developer guidelines, security policies, or existing AI-use policy
  • Confirm completion of the access-request checklist handed off in Session 0

Agenda

0:00 – 0:10 (10 min) — Re-anchor on the learning bed and session goals

  • Lead: Nubitz
  • Format: Briefing
  • Restate the engagement arc, confirm the learning bed product chosen in Session 0, and name what this session is meant to produce. Confirm attendees and roles.

0:10 – 0:35 (25 min) — Learning bed product walkthrough

  • Lead: Turner architect + named developer
  • Format: Demo / walkthrough
  • Architecture of the learning bed: languages, frameworks, key services, where the complexity lives. Nubitz asks targeted questions; one participant captures notes.

0:35 – 1:00 (25 min) — Azure DevOps configuration for the learning bed

  • Lead: Turner DevOps engineer
  • Format: Live demo
  • Walk through the learning bed's boards, repos, branching strategy, build/release pipelines, code review process, and any existing automation (static analysis, security scans).

1:00 – 1:10 (10 min) — Break

1:10 – 1:30 (20 min) — Security and architectural standards

  • Lead: Turner security stakeholder + architect
  • Format: Discussion
  • Secret handling, dependency review, license posture, code-vetting tools, existing standards or ADRs that apply to the learning bed. Note constraints that will shape the governance framework.

1:30 – 1:50 (20 min) — AI readiness and pain points

  • Lead: Nubitz, facilitating
  • Format: Group discussion
  • Current AI tool exposure across the team. Where does the idea-to-production pipeline hurt for the learning bed product today? Which pain points would the team most want AI to address? Capture verbatim.

1:50 – 2:00 (10 min) — Wrap-up and Session 2 prep

  • Lead: Nubitz
  • Format: Synthesis
  • Confirm any remaining access gaps. Identify candidate workflows that could anchor the Session 4 skill exercise. Confirm prep items for Session 2 (strategy document review). Owners and dates on the board.

What Nubitz produces after this session

  • Draft AI Development Strategy Document (sections: current-state for the learning bed, identified pain points, initial risk view)
  • Working list of clarifications needed before Session 2
  • Short list of candidate workflows to anchor the Session 4 skill exercise

Risks to manage

  • **Sessi