Cloudcore Case Brief Development

What This Is

Cloudcore Networks is a fictional Perth-based cloud computing company used as a case study across university courses. The full website repo is in this repository and the site is live at https://cloudcore.eduserver.au/.

I need three new case briefs (Modules 2, 3, and 4) that release organisational detail week by week. Each brief supports a specific workshop activity and gives students concrete data to work with.

The existing introduction is in briefs/cloudcore-introduction.qmd. New briefs should follow the same format and sit in the briefs/ folder.

Before Writing

Read through the repo first, particularly:

  • docs/ (interviews, policies, logs, support, articles)
  • chatbots/_backstories/ (character development and personalities)
  • blog/ (articles and tutorials)
  • data/ (financial and operational data)
  • briefs/cloudcore-introduction.qmd (the established baseline)

Every fact in the new briefs must be consistent with existing content. Where the repo already establishes a detail (a system name, an executive’s personality, a financial figure, a staff concern), use it. Where the repo is silent, invent plausible detail that doesn’t contradict anything.

Before writing each brief, show me what you found in the repo that’s relevant and flag any decisions where you need my input (e.g., “The backstory gives Sarah Thompson strong views on X, should her brief position align with that?”).

The Three Briefs

Brief 2: “Cloudcore AI Opportunity Evaluation Pack”

Workshop: Ethical Opportunity Matrix (evaluating AI opportunities against business value and ethical risk)

What students need: Stakeholder perspectives on the six AI opportunities listed in the introduction, so they can assess value vs. risk from multiple viewpoints.

Should contain:

  1. Stakeholder position summaries for each of the five executives (Ziemann, Gonzalez, Thompson, Rahman, Martinez). Each should include:
    • Their preferred AI initiative and why
    • Their key concern or constraint
    • At least one specific, quotable statement that sounds like them
    • A position that creates tension with at least one other executive
    Tensions to establish (adjust if existing character content suggests otherwise):
    • Speed vs. governance (CEO vs. CISO)
    • Build vs. buy (CTO vs. CFO)
    • Efficiency vs. staff protection (CEO/CTO vs. COO)
  2. Specific numbers:
    • Budget figure for initial AI investment ($200-300K range unless financial data says otherwise)
    • Revenue split by client sector (healthcare, finance, education, other)
    • Operating margin
    • Number of Tier 1 support staff
    • Any other concrete figures from existing repo data
  3. Preliminary opportunity assessment for each of the six AI initiatives:
    • Data readiness (High/Medium/Low)
    • Stakeholder support level
    • Key ethical risk flags
  4. Cross-references to the website (“For the full interview, see…”)

Brief 3: “Cloudcore Technology Landscape and Resource Assessment”

Workshop: Strategic Implementation Roadmap (building a phased plan with realistic constraints)

What students need: Current technology stack, integration gaps, resource availability, and previous change history to plan realistically.

Should contain:

  1. Current technology stack table (System, Purpose, Age, Vendor, Integration Status). Use any systems already named in the repo.

  2. Data flow overview showing how data moves (or doesn’t) between systems. Highlight manual processes and gaps.

  3. Resource availability:

    • Team capacity and competing commitments
    • Upcoming projects that affect AI timeline
    • Budget envelope (consistent with Brief 2)
    • Timeline pressures
  4. Existing vendor relationships

  5. Previous change initiative outcomes (2-3 examples):

    • At least one success
    • At least one failure or partial failure (this is important; students need to see that not all changes succeed here)
  6. Cross-references to relevant website content


Brief 4: “Cloudcore Data Infrastructure Audit Results”

Workshop: Infrastructure Blueprinting (planning what to build, buy, or fix)

What students need: Detailed data quality assessment, integration architecture status, compliance requirements, and cost context.

Should contain:

  1. Data inventory for each major data source:

    • Volume (approximate records/size)
    • Quality score (1-5 scale with brief justification)
    • Data ownership (team/person)
    • Sensitivity classification
    • Specific quality issues (use numbers: “15% duplicates”, “22% missing X”, not vague statements)

    Design point: Infrastructure/operational data should be high quality. Customer-facing data should be messy. This contrast matters.

  2. Data Value Pyramid mapping (descriptive analytics partially achieved, diagnostic minimal, predictive and prescriptive not attempted)

  3. Integration architecture assessment:

    • Current approach (point-to-point, batch, manual)
    • Existing ETL processes
    • What’s missing (data warehouse, MDM, real-time pipelines)
  4. Compliance and data handling:

    • ISO 27001 implications
    • Healthcare and finance client contract requirements (anonymised excerpts or summaries)
    • Australian Privacy Act obligations relevant to AI
    • Gap: no AI-specific data impact assessment process
  5. Infrastructure cost benchmarks at Cloudcore’s scale (realistic ranges)

  6. Cross-references to security docs, policies, and data-related content on the site


Writing Constraints

  • Australian English (organisation, analyse, behaviour, colour, etc.)
  • No em dashes anywhere. Use commas, semicolons, colons, or parentheses instead.
  • Quarto format (.qmd) matching the style of cloudcore-introduction.qmd
  • Realistic business documents, not academic papers. Think consultant working documents.
  • Specific over vague. Use names, numbers, system names, and dates wherever possible.
  • Each brief should be self-contained but reference other briefs and the website where relevant.
  • Each brief should include 2-3 pointers to specific pages on the Cloudcore website for students who want to explore further.