Automated Weekly Business Review

A self-service platform that cuts weekly review assembly by 95%—from hours to 15 minutes—through AI-powered metric collection, WBR document generation, and week-over-week trend analysis across 20+ platforms

95%

Time Reduction (Measured)

4–8 hrs/wk manual assembly → 15 min review

20+

Supported Platforms

LinkedIn, GA, Substack, GitHub, and more

Who This Is For

Operators at every scale—solo founders, team leads, and directors running organizations of 1–200—who already do some version of a weekly review but assemble it manually every week.

Founder-Operators

You run a business and already do some version of a weekly review. You spend hours pulling metrics from platforms, writing summaries from memory, and formatting reports instead of making decisions.

Ops-Minded Leadership Teams

One person on your team currently owns the weekly reporting process. They log into a dozen platforms, copy numbers into a spreadsheet, and email it out. The process works but doesn't scale, and it breaks when that person is out.

The Problem with Manual WBRs

Most weekly reviews are assembled from memory, not data. The tooling gap leads to drift, missed signals, and repeated mistakes across the leadership team.

Without a System

2–4 hours per leader logging into dashboards, chasing teammates, copy-pasting metrics
Context reconstructed from memory on Friday night
Manual transcription errors in every report
No week-over-week comparison unless someone does it by hand
Decisions based on whatever the team remembers, not what happened

With the WBR Platform

15 minutes reviewing AI-generated output each week
Context captured daily in 2-minute structured notes
AI-powered metrics collection across your platforms—no API keys or credentials to manage
Week-over-week comparison with deltas and trend indicators
Immutable snapshots for historical record and audit trail

What the Platform Delivers

Automation handles the assembly. You handle the interpretation and decisions.

AI-Powered Metric Collection

An AI agent reads real data directly from your logged-in platforms—LinkedIn, Google Analytics, Substack, Medium, GitHub, HubSpot, and more. No API keys to manage, no OAuth to configure, no credentials stored. JSON schema validation ensures clean, structured output every time.

WBR Document Generation

A 10-page executive report with a 2×2 summary on page 1, status indicators for every metric, and nine detailed appendices. Generated in minutes, not hours.

Data Quality and Anomaly Detection

The system flags anomalies, data quality issues, and week-over-week outliers. You see what changed and decide what to act on.

20+ Supported Platforms

LinkedIn, X, Bluesky, Google Analytics, Substack, Medium, DEV.to, Ghost, YouTube, GitHub, Trello, HubSpot, QuickBooks, and more. The AI agent collects from all of them using your existing browser sessions—including platforms that have no public API.

Self-Service Workflow

Log into your platforms, run a personalized prompt through the Claude Chrome extension, and receive structured JSON output. No API keys, no consultants, no waiting on someone else's calendar.

Multi-Customer Profiles

Named profiles for different businesses or clients. Each profile gets its own configuration, metrics targets, and output directory. Switch contexts with a single command.

                Pre-Alpha: The platform is in active development. Core metric collection and WBR generation are live. New platform integrations and features ship regularly.
            

How It Works

Five steps from raw data to a decision-ready weekly review. The system handles the assembly so you can focus on interpretation.

1. Capture Daily Notes

Spend 2 minutes each day recording what happened: wins, blockers, observations. Structured prompts keep it fast. Context is captured when it's fresh, not reconstructed on Friday night.

2. Run the Weekly Collection

One prompt kicks off AI-powered metric collection across your platforms. The agent reads real numbers directly from LinkedIn, Google Analytics, Substack, GitHub, HubSpot, and more—using your browser sessions, not stored API keys.

3. Receive Your WBR Document

A 10-page executive report lands in your output directory: executive summary on page 1, nine detailed appendices behind it. Generated in minutes, not hours.

4. Review Trends and RICO Items

Week-over-week comparisons surface what changed. RICO items (Risks, Issues, Challenges, Observations) flag what needs attention. You decide what to act on.

5. Iterate Weekly

Each week builds on the last. The system gets more valuable over time as you accumulate historical data, refine your metrics, and sharpen your weekly operating rhythm.

                RICO Tracking: Risks, Issues, Challenges, and Observations with owners and expected completion dates. P0 and P1 items surface on page 1. Lower-priority items live in the appendix. This is the section that catches the signals you would otherwise miss.
            

What the Output Looks Like

A 10-page executive report with a 2×2 summary on page 1 and nine detailed appendices

Page 1: Executive Summary

Four quadrants covering everything that matters:

Business Update: Projects, content performance, business development, next steps
RICO: P0/P1 risks, issues, challenges, and observations with owners and ECDs
Key Metrics: Input metrics with targets and status indicators
Highlights/Lowlights: What went well and what didn't

Appendices

Nine sections of operational detail:

Platform metrics detail across all sources
Content engagement metrics
Revenue and monetization
Publication calendar
Action items (new and carryover)
Git commit activity by repo and type
Additional insights and SMART goals
Reach trajectory with monthly targets

See a Real Example: Download a complete masked WBR (PDF) from an actual weekly review. Real data, real structure, real RICO items. Names and companies redacted.

How This Is Different

Most alternatives either sell visualization tools without operating discipline or sell expensive senior capacity without repeatable infrastructure. This platform fills the gap.

Dashboard Tools

Databox, Geckoboard, Klipfolio solve visualization but not operating behavior. They show you metrics but don't produce a decision-ready weekly review with trends, anomalies, and accountability tracking.

WBR Platform

AI-powered metric collection across 20+ platforms, structured WBR document generation, week-over-week trend analysis, and RICO tracking. A self-service operating mechanism—not a dashboard, not a person you rent by the hour.

Fractional CFO/COO

Strategic depth but at $8K–$16K/month with variable process repeatability. Broad advisory scope without the repeatable mechanism infrastructure that compounds week over week.

                Positioning: This is not a dashboard and not a fractional executive. It is a self-service operating mechanism—a repeatable decision system that reduces management drag and compounds over time.
            

About the Founder

Paul Duvall built this toolchain for his own business and uses it every Friday. He has built software solutions and systems for 30+ years, with deep expertise in cloud and DevSecOps for more than 15 years. He led large-scale engineering and security programs at AWS and co-founded Stelligent, the first company focused exclusively on Continuous Delivery/DevOps on AWS. He has been building applications with AI-assisted development tools since early 2023.

The WBR system described on this page is informed by his experience as a Director at AWS, where Weekly Business Reviews are a core operational mechanism. The architecture, the metric design, and the adoption plan are the same things the platform helps you implement.