Multi-Stakeholder Executive Intelligence Pipeline: Building an Automated C-Suite Reporting System Across Four Business Entities

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What Was Done

We built an automated executive reporting pipeline that generates five perspective-specific reports across our portfolio of four entities (JADA, QueenofSanDiego, QuickDumpNow, DangerousCentaur) plus three supporting business units. Each report synthesizes operational, technical, financial, and marketing data into actionable intelligence, then delivers them automatically via Amazon SES to stakeholders for immediate decision-making.

The system generates reports from five distinct C-suite viewpoints:

CEO/Executive: Asset inventory, revenue tracking gaps, equity risk assessment, KPI framework
CTO/VP Engineering: Stack audits, security hardening roadmap, cost optimization, UX/DX analysis
CFO/Finance: Burn rate modeling, capital allocation framework, break-even analysis, monthly revenue targets
CMO/Marketing: Channel attribution, campaign sequencing, OTA deployment strategy, audience sizing
Controller/Accounting: Chart of accounts, revenue recognition, expense audits, accounting system roadmap

Supporting reports cover domain-specific concerns: 3028 51st St property rental operations, Expert Yacht Delivery logistics, and DangerousCentaur client portfolio billing.

Technical Implementation

Report Generation Architecture

The core implementation lives in two Python scripts in our tools repository:

/Users/cb/Documents/repos/tools/send_exec_reports.py
/Users/cb/Documents/repos/tools/send_exec_reports_2.py

These scripts perform several key operations:

Data aggregation: Read from project handoff markdown files, wiki documentation, and operational dashboards
Template rendering: Generate perspective-specific narratives by filtering the same underlying data through different analytical lenses
SES delivery: Queue reports to verified SES senders with BCC routing for audit trails

The script reads environment variables from repos.env to retrieve SES configuration:

SES_FROM_ADDRESS=admin@queenofsandiego.com
SES_REGION=us-west-2
SES_SMTP_HOST=email-smtp.us-west-2.amazonaws.com

Each report is formatted as a detailed markdown document with sections, bullet points, and prioritized action items. The CEO report, for example, includes:

Full asset matrix (domains, infrastructure, team allocation)
Eight critical shortfalls (empty sales pipeline, missing revenue tracking, equity concentration risk, zero OTA listings, missing billing models)
Nine key performance indicators not yet tracked
30-day prioritized action plan

Multi-Entity Data Model

Reports aggregate across four primary entities with distinct operational profiles:

QueenofSanDiego: Charter booking platform with Lambda backend, S3/CloudFront frontend, EventBridge automation
JADA: Content/education platform with separate technical footprint
QuickDumpNow: Service business with broken conversion funnel requiring diagnostics
DangerousCentaur: Portfolio/brand with no established billing or monetization model

Supporting units tracked separately:

3028 51st St: Residential rental property with operational oversight requirements
Expert Yacht Delivery: Logistics operation requiring tracking and billing integration
DCC Client Portfolio: Revenue source requiring billing audit and process improvement

SES Integration Points

The reporting pipeline uses Amazon SES with the following configuration:

Verified sender: admin@queenofsandiego.com (configured in SES console)
Primary recipient: c.b.ladd@gmail.com
BCC recipient: admin@queenofsandiego.com (audit trail)
Region: us-west-2 (consistent with primary infrastructure)

The script includes error handling for:

Missing or malformed environment variables
SES send failures with retry logic
Email address validation

Key Architectural Decisions

Perspective-Based Report Generation

Rather than a single "state of the business" report, we generate five reports from distinct viewpoints. This approach:

Surfaces domain-specific issues: A CTO cares about WAF configuration and JWT secret management; a CEO cares about pipeline velocity and customer acquisition cost.
Enables parallel action: Each stakeholder receives immediately actionable intelligence without having to filter through irrelevant details.
Reduces decision bottlenecks: CFO can execute on capital allocation while CMO executes on channel strategy in the same sprint.

Data Source: Markdown Handoffs

We sourced all intelligence from human-written markdown project handoffs rather than pulling from live systems (databases, APIs, analytics platforms). This decision reflects our current operational reality:

No centralized accounting system exists yet (see Controller report)
No analytics instrumentation across domains
Revenue tracking is manual and incomplete

The handoff files live at:

/Users/cb/Documents/repos/agent_handoffs/projects/

This approach is temporary; the CTO report explicitly recommends implementing proper event tracking and a unified analytics layer.

Scheduled vs. On-Demand Delivery

Initial implementation uses on-demand manual execution. For production scaling, this should move to:

EventBridge scheduled rule: Trigger daily or weekly via cron expression in EventBridge
Lambda wrapper: Wrap report generation in a Lambda function and invoke via EventBridge
Slack integration: Post report summaries to a #executive-intelligence Slack channel for real-time visibility

Report Contents Summary

CEO Report: Identifies eight critical shortfalls (empty pipeline, no revenue tracking, Sergio equity concentration, zero OTA listings on QueenofSanDiego, DangerousCentaur missing billing model, QuickDumpNow funnel failure, Carole transition risk) and proposes a 30-day action plan with clear ownership.

CTO Report: Audits technology stack across all four entities, identifies six security gaps (hardcoded Stripe keys in production, plaintext repos.env in Git, unauthenticated GAS endpoints, no WAF on CloudFront distributions), estimates AWS costs at $50–84/month with $25/month in easy wins, and prioritizes 10 engineering actions for Q1 2026.

CFO Report: