AI Automation Services

AI Reporting and Analytics Automation

Stop assembling reports manually from five different dashboards. I build automated reporting systems that pull your data, analyze it, and deliver insights to the right people automatically.

Ex-Google Strategist
🤖GA4 / Looker Studio / BigQuery Expert
📊13+ Years Experience
Real-Time Dashboards
🎯Zero Manual Report Building

What's Included

Reporting Systems That Deliver Insights Without the Manual Work

The goal is not more dashboards — it's fewer, better ones that tell you what matters and alert you when something needs attention. I build reporting infrastructure so your team makes faster decisions with better data.

📊

Automated Dashboard Build

Build live dashboards in Looker Studio, Google Sheets, or your BI tool that pull from your ad accounts, CRM, GA4, and other sources automatically — no manual data pulling.

📧

Scheduled Report Delivery

Automatically generate and email weekly or monthly performance reports to stakeholders in the format they prefer — PDF, spreadsheet, or email summary with AI-written commentary.

🔔

Anomaly Detection Alerts

Get alerted the moment a key metric drops or spikes outside normal range — before someone notices it in a weekly report three days after it happened.

🧠

AI-Generated Insights

Use AI to summarize what the data means in plain language — identifying trends, flagging anomalies, and suggesting what to do next. Data without interpretation is just numbers.

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Data Source Integration

Connect Google Ads, Meta Ads, GA4, your CRM, Shopify, or any platform with an API into a single data layer. One source of truth for every metric your business tracks.

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Client Reporting Automation

For agencies: auto-generate and send branded client performance reports on schedule. Each client gets their report without you spending hours building it manually.

How It Works

My Reporting Automation Build Process

Metrics alignment first. If stakeholders disagree on which numbers matter, automating the wrong report just creates automated arguments. I align on KPIs before touching any tool.

1

KPI Definition

Align on the metrics that actually drive business decisions — not just vanity metrics. Define what good looks like for each KPI so the system knows what to flag.

2

Data Audit and Connections

Audit your existing tracking setup, identify data gaps and inconsistencies, and connect all your data sources into a reliable unified data layer.

3

Dashboard and Alert Build

Build the dashboards, configure automated report delivery schedules, and set up anomaly detection alerts for the metrics that need immediate attention when they shift.

4

Train and Hand Off

Walk through every report and dashboard with the team. Document what each metric means and what action it should trigger so the reporting is used, not ignored.

5+ hrs

Average time saved per week on manual report building

Real-time

Data visibility instead of weekly or monthly snapshots

3x

Faster decision making from teams with automated reporting

Who It's For

For Businesses That Spend Hours Building Reports Instead of Reading Them

If someone on your team spends more than two hours per week pulling data and assembling reports, that time should be automated. The insights stay; the manual work goes.

Marketing Agencies (Client Reporting) Ecommerce Businesses Google Ads Advertisers SaaS Companies Tracking Growth Metrics Operations Teams Managing Multiple Data Sources Founders Who Need Business Visibility

Get the Insights You Need Without the Manual Work to Find Them

Book a free strategy session. I will review your current reporting process, identify the data sources you are not connecting, and show you what automated reporting looks like for your business.

Get a Free 30-Minute Strategy Session →