# Adrian Vale (AV) — AI Executive Offsite Project Ideas

**Role:** SVP Strategic Initiatives, Aurex
**Initials:** AV

Adrian's role sits at the intersection of M&A integration, market expansion, regulatory strategy, and cross-functional program management. These three ideas are designed to save him 10-20 hours per week on reporting and synthesis, freeing him to focus on execution and decision-making.

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## Idea 1: M&A Integration Tracker & Status Generator

**Folder:** `01-ma-integration-tracker/`

**The problem:** Adrian is juggling integration of 4 acquisitions across 10 workstreams each. Producing the weekly exec status report for Dana Brooks takes him 6-8 hours of manual data collection from Slack, email, and spreadsheets.

**What it does:** Reads structured CSV data on acquisition profiles, workstream progress, risks, and blockers, then generates a polished markdown exec briefing + a consolidated CSV for Google Sheets import. Uses 🟢/🟡/🔴 health indicators across all workstreams.

**Synthetic data:**
- `data/acquisition_profiles.csv` — deal terms, team sizes, revenue synergies
- `data/integration_workstreams.csv` — 40 workstream records (4 acquisitions × 10 workstreams) with RACI, status, dates, notes
- `data/risks_and_blockers.csv` — 10 flagged risks with owners and mitigation plans
- `data/weekly_exec_summary_template.md` — template used by exec team

**Expected output:** `output/integration_status_report.md` + `output/consolidated_tracker.csv`

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## Idea 2: Market Activation Playbook Generator

**Folder:** `02-market-playbook/`

**The problem:** Aurex is launching in 3 new markets simultaneously (Brazil, Saudi Arabia, Australia). Each market requires a custom playbook covering licensing, partnerships, hiring, product localization, and risk. Adrian's team spends ~15 hours per market entry on playbook creation.

**What it does:** Ingests market research data (regulatory checklists, partner profiles, hiring plans) and generates structured activation playbooks per market plus a comparison summary table — cutting playbook creation from 15 hours to under 1 hour.

**Synthetic data:**
- `data/market_pipeline.csv` — 3 target markets with TAM, rationale, competitor landscape
- `data/regulatory_checklist.csv` — 11 license/permit requirements across 3 markets with cost & timeline estimates
- `data/local_partners.csv` — 12 partner profiles (banks, tech vendors, law firms) with engagement recommendations
- `data/hiring_plan.csv` — 18 planned hires across 6+ functions per market

**Expected output:** `output/playbook_brazil.md`, `output/playbook_saudi_arabia.md`, `output/playbook_australia.md` + `output/market_activation_summary.md`

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## Idea 3: Weekly Strategic Initiative Briefing Generator

**Folder:** `03-strategic-briefing/`

**The problem:** Adrian manages a portfolio of 15 cross-functional strategic initiatives. Every Friday he manually compiles a briefing for Dana Brooks by reading Slack threads, emails, spreadsheets, and meeting notes. This takes 4-5 hours of synthesis work.

**What it does:** Reads a registry of 15 initiatives, weekly Slack updates from initiative owners, key metrics, and exec meeting notes — then generates a concise, decision-oriented exec briefing that Dana can read in 5 minutes on Monday morning.

**Synthetic data:**
- `data/initiatives_registry.csv` — 15 initiatives with owners, status health, metrics, and week-over-week changes
- `data/weekly_updates_slack.csv` — 10 raw Slack messages from 6 execs with initiative updates
- `data/key_metrics.csv` — 12 leading indicators with targets and trends
- `data/exec_meeting_notes.md` — detailed notes from weekly strategy review including decisions and action items

**Expected output:** `output/exec_briefing_2026-09-07.md` + `output/weekly_snapshot.csv` (appendable to running log)

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## How to use these with Claude

Each idea folder contains a `prompt.md` that can be copy-pasted into Claude Desktop or Claude Code. Claude will:
1. Read the synthetic data files
2. Follow the structured output requirements
3. Generate the specified deliverables into the `output/` folder

The synthetic data is designed to be immediately replaceable with real Aurex data once the workflow is proven.