Queen of San Diego — Tech Blog

Under the hood at queenofsandiego.com

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Building a Multi-Stakeholder Executive Intelligence System: Architecture, Automation, and Strategic Reporting Infrastructure

Over the past development session, we engineered and deployed a comprehensive executive reporting system designed to deliver actionable intelligence across five distinct stakeholder perspectives—CEO, CTO, CMO, CFO, and Chief Accounting Officer—alongside three additional domain-specific audits. This post details the technical architecture, deployment pipeline, and decision rationale behind this system.

What Was Done

We built an automated, multi-perspective reporting engine that:

  • Created five primary executive reports covering business operations, technology infrastructure, marketing channels, financial strategy, and accounting systems
  • Generated three supplementary domain audits (rental property operations, logistics infrastructure, client portfolio analysis)
  • Deployed an SES-based email distribution pipeline with verified sender infrastructure
  • Integrated reporting output with executive dashboard task creation via DynamoDB
  • Established a repeatable command-driven CLI interface for on-demand report generation

Technical Architecture

Report Generation Pipeline

The core system lives in two Python modules under /Users/cb/Documents/repos/tools/:

  • send_exec_reports.py — Primary report generator with five institutional perspectives
  • send_exec_reports_2.py — Secondary report module for domain-specific audits

Each report module follows a consistent pattern:


1. Load configuration (SES credentials, recipient lists, from-address)
2. Build multi-section report body (executive summary, findings, KPIs, roadmap)
3. Compose email via boto3 SES client with HTML formatting
4. Send via verified sender (admin@queenofsandiego.com)
5. Log delivery confirmation

The system draws data from three primary sources:

  • repos.env — SES configuration, sender addresses, environment-specific variables
  • /agent_handoffs/projects/ — Project state, task inventories, handoff documentation
  • Live AWS resources — DynamoDB event tables, Lambda environment variables, S3 bucket configs

Email Distribution Infrastructure

We verified that admin@queenofsandiego.com is a confirmed sender address in Amazon SES (production region). The system sends primary reports to c.b.ladd@gmail.com with BCC to the admin address for archival.

Report recipients vary by stakeholder:

  • CEO Report — Asset inventory, shortfall analysis, KPI gaps, 30-day action items
  • CTO Report — Stack audits (JADA, QOS, QDN, DC), security gaps, cost optimization, UX shortfalls, dev cycle improvements
  • CMO Report — Channel visibility matrix, OTA sequencing roadmap, audience sizing, campaign timeline
  • CFO Report — Burn rate modeling, capital deployment framework, break-even analysis, monthly revenue targets
  • Chief Accounting Officer Report — Revenue recognition, chart of accounts, expense audit, profitability roadmap

Supplementary reports target specific operational domains:

  • 3028 51st St Rental — Property-specific KPIs and occupancy analysis
  • Expert Yacht Delivery — Logistics fleet health, margin analysis, operational efficiency
  • DangerousCentaur Client Portfolio — Billing gaps, contract audit, revenue realization

Key Infrastructure Decisions

Why SES Over Third-Party Email Services

We use AWS SES rather than SendGrid or Mailgun because:

  • Already integrated into existing Lambda and tooling ecosystem
  • Verified sender addresses reduce operational overhead
  • Cost structure (~$0.10 per 1,000 emails) scales to near-zero for internal reporting
  • IAM-based access control aligns with existing AWS security posture

Report Segmentation by Stakeholder

Rather than sending one all-encompassing report, we engineered five separate executive perspectives. This decision reflects:

  • Signal-to-noise reduction — Each stakeholder receives only actionable items in their domain
  • Accountability alignment — Clear ownership of findings and recommendations
  • Decision velocity — Smaller, focused reports drive faster triage and action
  • Technical feasibility — Each report module can be run independently or in sequence

Data Collection Points

Reports synthesize data from multiple sources to avoid duplication and stale information:

  • repos.env — Configuration state (SES addresses, domain names, API endpoints)
  • Project handoff documents — Strategic context, known issues, blockers
  • AWS SDK queries — Live DynamoDB scans for event/booking state, Lambda env vars for feature flags
  • File system audits — Line counts, syntax checks, deployment logs

Deployment and Testing

Before sending live reports, we validated:


# Syntax validation
python3 -m py_compile send_exec_reports.py

# SES variable verification
grep -E 'SES_|FROM_' repos.env

# Dry-run email composition (log output without sending)
python3 send_exec_reports.py --dry-run

# Send initial batch (5 reports to primary recipient)
python3 send_exec_reports.py --send

# Send secondary batch (3 additional domain reports)
python3 send_exec_reports_2.py --send

Integration with Executive Dashboard

Each report output triggers downstream task creation on the progress dashboard via a separate Lambda invocation. This ensures that findings translate immediately into tracked work items rather than sitting in inboxes.

Task creation follows the pattern:


For each report finding:
  1. Extract action item (e.g., "Deploy WAF to CloudFront distribution")
  2. Assign priority (critical/high/medium/low)
  3. Create DynamoDB task record with report_id reference
  4. Link to stakeholder (cfo_tasks, cto_tasks, etc.)
  5. Set 30/60/90-day milestones where applicable

What's Next

This foundational reporting system enables three follow-on initiatives:

  • Automated weekly digest — EventBridge cron rule to re-run reports on Monday mornings with updated metrics
  • Metrics dashboard — Parse report findings into CloudWatch custom metrics for real-time visibility
  • Stakeholder feedback loops — Capture report recipient responses (via email replies or dashboard UI) and automatically re-prioritize next-week report sections

Code Location Reference

  • Report generators: /Users/cb/Documents/repos/tools/send_exec_reports*.py
  • Configuration: /Users/cb/