Multi-Perspective Executive Reporting System: Automating Strategic Intelligence Across Four Business Entities

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What Was Done

Built and deployed an automated executive reporting pipeline that generates five specialized strategic reports across four distinct business entities (JADA, QueenofSanDiego, QuickDumpNow, DangerousCentaur) plus three operational assets (3028 51st St Rental, Expert Yacht Delivery, DCC Client Portfolio). Each report is authored from the perspective of a different C-suite stakeholder—CEO, CTO, CFO, CMO, and Chief Accounting Officer—distilling weeks of operational data into actionable intelligence delivered via AWS SES.

Technical Details

Report Generation Architecture

The system consists of two Python scripts in `/Users/cb/Documents/repos/tools/`:

send_exec_reports.py — Primary report generator
send_exec_reports_2.py — Secondary variant for A/B testing and iterative refinement

Each script programmatically constructs eight specialized reports by:

Reading portfolio metadata from `/Users/cb/Documents/repos/agent_handoffs/projects/` (JADA, QOS, QDN, DC project files)
Parsing infrastructure state from CloudFront distribution configs, Lambda environment variables, and DynamoDB table schemas
Synthesizing financial data from SES send logs, S3 cost allocation tags, and manual expense tracking
Rendering each report as a multi-section HTML email with role-specific KPI tables and priority matrices
Sending via AWS SES to multiple recipients with BCC auditing

SES Integration & Email Delivery

All eight reports are delivered through AWS SES using verified sender identity admin@queenofsandiego.com. Environment variables are loaded from `/Users/cb/Documents/repos/repos.env`:


# Example command to verify SES configuration
aws ses list-verified-email-addresses --region us-west-2

# Send reports programmatically
python3 send_exec_reports.py

The script uses boto3's send_email() method with BCC recipients for compliance auditing. All report payloads are constructed as multipart MIME with HTML body and plain-text fallback, ensuring delivery across mail clients and archiving systems.

Report Specifications by Persona

CEO Report (Strategic & Financial)

Asset Inventory: Complete enumeration across all 4 entities with operational status (live, development, sunset)
Shortfall Analysis: 8 critical gaps identified (empty sales pipeline, no revenue tracking, equity concentration risk, zero OTA presence, DC billing model undefined, QDN funnel broken, key person risk on Carole transition, no financial reporting system)
KPI Dashboard: 9 missing metrics (Monthly Recurring Revenue, Customer Acquisition Cost, Churn Rate, Pipeline Coverage, Gross Margin %, Burn Rate, Break-Even Charter Volume, Cash Runway, Revenue per Full-Time Equivalent)
30-Day Priorities: Ranked by impact and resource requirement

CTO Report (Technical & Security)

Stack Audit by Domain:
- JADA: Node.js Lambda (index.js, handler pattern), Next.js frontend, RDS Aurora, CloudFront CDN
- QueenofSanDiego (ShipCaptainCrew): Python Lambda (`/shipcaptaincrew/lambda_function.py`), vanilla JS frontend, DynamoDB, S3 static hosting, CloudFront distribution
- QuickDumpNow: Separate Lambda stack, GAS integration, SES-based notifications
- DangerousCentaur: Client portfolio management, no dedicated infrastructure (spreadsheet-based)
Security Hardening (6 Critical Gaps):
- Hardcoded Stripe keys in Lambda env vars (migrate to AWS Secrets Manager)
- repos.env committed to Git (rotate all credentials, enable branch protection)
- Unauthenticated GAS endpoints (implement JWT validation on all Google Apps Script triggers)
- No WAF on CloudFront distributions (enable AWS WAF with managed rule groups)
- plaintext JWT_SECRET in environment (move to Secrets Manager, rotate)
- Missing authentication on guest-facing endpoints (add Cognito or manual JWT validation to all public routes)
Cost Analysis: Current AWS spend ~$50–84/mo (Lambda execution, DynamoDB, S3, CloudFront); identified ~$25/mo optimization opportunity via reserved capacity and CloudFront origin consolidation
UX Shortfalls: No availability calendar (implement iCal feed + JS picker), zero analytics on any domain (deploy Plausible or self-hosted Matomo), stale tier copy on landing pages
Dev Cycle Gaps: No CI/CD pipeline (recommend GitHub Actions), no staging environment (proposal: separate S3 bucket + Lambda alias), no automated rollback (implement CloudFormation + SAM for IaC)
10 Prioritized Engineering Actions: Ranked from security-critical to velocity-enabling

Chief Accounting Officer Report (Financial Controls)

Revenue Recognition Audit: Current state: no accounting system; issues identified (cash vs. accrual, charter booking timing, deposit vs. full payment tracking)
Chart of Accounts: Recommended structure across all 4 entities with cost-center allocation
Expense Audit by Category: AWS compute, SES, Route53, domain registrations, third-party integrations; identifies spend without business case
Missing Systems: No QuickBooks integration, no bank reconciliation, no monthly close process
Profitability Roadmap (4 Milestones through Q1 2027): Establish baseline, implement accounting system, close revenue leaks, achieve 60%+ gross margin

CMO Report (Go-to-Market & Channels)

Channel Visibility Matrix: QueenofSanDiego (email list 3,676 subscribers, zero recent sends), Facebook, Instagram, OTA integrations (none live), direct bookings
Immediate Blast Case: Model assumes 1–2% conversion on charter bookings at $10K–50K ticket size = $3.7M–18.5M revenue potential from existing list with zero new acquisition cost
OTA Sequencing Strategy: Phase 1 (Sailo, GetMyBoat), Phase 2 (Viator, GetYourGuide), Phase 3 (Airbnb Experiences) — sequenced by platform maturity and booking management complexity
QuickDumpNow Local SEO: Geo-targeted keyword roadmap, Google Business Profile optimization, local citation building
30/60/90-Day Milestones: Launch sequence, KPI targets, resource allocation