Sail JADA — Engineering Log

Technical work on sailjada.com and the JADA booking systems

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Multi-Stakeholder Executive Intelligence Pipeline: Automated Report Generation for Portfolio Management

Over the past development session, we deployed a comprehensive reporting infrastructure that generates tailored executive analysis across five distinct personas—each with their own KPI framework, risk assessment model, and action hierarchy. This post documents the architecture, implementation decisions, and infrastructure patterns that power automated cross-functional intelligence delivery.

What Was Built

The core deliverable is a Python-based report generation system that orchestrates data gathering, analysis, and SES email delivery:

  • Primary script: /Users/cb/Documents/repos/tools/send_exec_reports.py
  • Secondary experiment: /Users/cb/Documents/repos/tools/send_exec_reports_2.py (alternative approach, kept for reference)
  • Delivery mechanism: AWS SES verified sender identity (admin@queenofsandiego.com)
  • Target recipient: c.b.ladd@gmail.com with BCC to admin inbox for audit trail

Five distinct reports were generated and delivered in a single batch:

  1. CEO Report — Asset inventory, shortfall analysis (8 critical gaps), KPI definition (9 missing metrics), 30-day action roadmap
  2. CTO Report — Full stack audit (JADA, QueenofSanDiego, QuickDumpNow, DangerousCentaur), security hardening roadmap (6 gaps), cost optimization ($25/mo savings identified), UX audit, CI/CD gaps, 10 prioritized engineering actions
  3. Accounting Report — Revenue recognition framework, complete chart of accounts, expense category audit, profitability roadmap (Q1 2027 target)
  4. CMO Report — Channel visibility matrix, blast campaign ROI modeling ($10K–50K concert booking potential), OTA sequencing strategy (Sailo → GetMyBoat → Viator/GYG), 30/60/90-day milestones
  5. CFO Report — Burn rate model ($7–9K/mo), capital deployment framework (zero-cost through do-not-deploy tiers), break-even analysis (6 charters/month), monthly revenue targets through Q4 2026

Three additional domain-specific reports were identified as essential:

  • 3028 51st St Rental Operations Report — Occupancy metrics, maintenance tracking, seasonal revenue patterns
  • Expert Yacht Delivery Logistics Report — Fleet utilization, crew scheduling, delivery pipeline health
  • DangerousCentaur Client Portfolio Audit — Billing gaps, contract coverage, revenue realization risk

Technical Architecture

Data Ingestion Layer

The report generation pipeline reads from three primary sources:

  • Environment configuration: repos.env containing SES sender variables, verified email addresses, and authentication endpoints
  • Project handoff documents: /Users/cb/Documents/repos/agent_handoffs/projects/ directory (e.g., shipcaptaincrew.md) containing operational context, feature status, and known gaps
  • Static asset inventory: Hardcoded asset lists (domains, Lambda functions, S3 buckets, CloudFront distributions) representing the current portfolio

The script validates SES configuration before report generation:


# Verify SES sender identity is configured
SES_FROM = os.getenv('SES_FROM_ADDRESS', 'admin@queenofsandiego.com')
SES_REGION = os.getenv('AWS_REGION', 'us-west-2')

# Check that from-address variables exist in repos.env
# Common patterns:
# - SES_FROM_ADDRESS
# - ADMIN_EMAIL
# - SENDMAIL_FROM

Report Generation Pattern

Each report follows a consistent structure to ensure completeness:

  1. Persona framing: Establish the executive role, their mandate, and key success metrics
  2. Current state assessment: Portfolio-wide inventory with specific asset/process names
  3. Gap analysis: Quantified shortfalls (missing KPIs, security vulnerabilities, cost inefficiencies)
  4. Prioritized action plan: Ranked by impact-to-effort ratio, with 30/60/90-day milestones where applicable
  5. Risk identification: Personnel dependencies, technical debt, market timing issues

Email Delivery & Auditing

SES is configured with:

  • Verified sender: admin@queenofsandiego.com (DKIM + SPF configured at Route53 for queenofsandiego.com)
  • Primary recipient: c.b.ladd@gmail.com (direct eyes on all reports)
  • BCC recipient: admin@queenofsandiego.com (audit trail for governance review)
  • Send rate: Batch delivery (all 5 reports in single SES API call to avoid throttling)

Report delivery was validated with multiple test runs. The script logs successful sends and captures SES Message IDs for traceability:


# Example command to send reports
python /Users/cb/Documents/repos/tools/send_exec_reports.py

# SES sends 5 emails in rapid succession
# - Each report gets unique Message ID from SES API response
# - Delivery status logged to stdout/stderr
# - Failures logged with full exception context

Key Technical Decisions

1. Multi-Persona Over Single-Report Approach

Rather than a single "all-things-to-all-people" report, we generate five distinct documents, each optimized for its audience's decision-making framework:

  • CEO thinks in terms of assets, revenue leakage, and go/no-go decisions
  • CTO thinks in terms of technical debt, security posture, and user experience
  • CFO thinks in terms of cash flow, burn rate, and capital efficiency
  • CMO thinks in terms of channels, CAC, and pipeline coverage
  • Accounting thinks in terms of GAAP compliance, accruals, and audit trails

This approach dramatically increases actionability—each executive sees only the metrics and recommendations relevant to their domain.

2. SES Over SMTP Over Slack

We chose AWS SES rather than transactional email services (SendGrid, Mailgun) or chat platforms (Slack) because:

  • Already on AWS infrastructure; no new vendor authentication
  • Verified sender identity maintains email deliverability for high-importance comms
  • BCC to admin@queenofsandiego.com creates a searchable audit trail in Gmail
  • Cost: effectively free (25K emails/month free tier in SES)