Research & Reporting Automation
Stop wasting Mondays building manual spreadsheets. Our automated data pipelines ingest metrics from ads, analytics, billing, and CRM platforms to generate polished reports and executive briefings.
Analysts and founders trapped in manual copy-paste spreadsheet reporting
Every week, agency teams, financial analysts, and operators log into 5 different portals—Google Analytics, Meta Ads, Stripe, HubSpot, and internal databases—to manually copy numbers into slide decks and spreadsheets.
Reports are delivered days after the reporting period ends, making data retrospective rather than actionable
Calculation errors and accidental formula overwrites undermine stakeholder trust
High-paid strategists spend their time compiling charts instead of driving business decisions
Automated data ingestion, AI synthesis, and branded report dispatch
We build scheduled ETL and AI synthesis pipelines that automatically query your data sources, run anomaly detection, extract key trends, and generate executive summaries with formatted PDF attachments or live interactive dashboards.
How the automated pipeline operates.
Step-by-step execution path with explicit safety guardrails at each phase.
Scheduled Data Extraction
Cron workers fetch data from advertising, billing, and web analytics APIs on schedule.
API rate limits and pagination tokens are managed automatically.
Data Cleansing & Normalization
Python scripts aggregate metrics, harmonize date intervals, and calculate key performance ratios.
Missing data points are flagged; anomalies trigger sanity validation rules.
AI Synthesis & Narrative Generation
An LLM analyzes variance between reporting periods and drafts a bulleted executive summary.
Prompts are constrained strictly to the extracted mathematical numbers to eliminate hallucinations.
Formatted Delivery
A styled PDF report and Slack briefing are generated and emailed to stakeholders every Monday morning.
Automated delivery logs verify that all client reports were dispatched successfully.
Expected outcomes and targets.
Generated automatically without human intervention.
Stakeholders receive briefings every Monday at 8:00 AM.
Sudden KPI drops or budget spikes alert teams immediately.
Under the hood architecture.
Engineered with clear separation of concerns, robust message queuing, and verified APIs.
Production guardrails and human oversight.
Strict Numeric Grounding
The narrative generator is only permitted to reference numbers explicitly provided in the calculated dataset.
Outlier Safeguards
Unusual data spikes (e.g. tracking tag dropouts) are flagged as potential measurement errors.
Permissioned Distribution
Client-specific data is completely isolated; each client only receives their dedicated report.
Services that power this use case.
Common questions about research & reporting automation.
Q.Can reports be formatted with our agency branding?
Yes. We design PDF and dashboard templates using HTML/Tailwind and Puppeteer, producing pixel-perfect documents with your logo, fonts, and color palettes.
Q.What data sources can you connect?
Any platform with a REST API, webhook, or database connection. Common sources include Google Ads, Meta Ads, GA4, Stripe, Shopify, HubSpot, and PostgreSQL.
Q.How does the AI avoid hallucinating statistics?
The AI does not calculate the math; Python and SQL calculate the numbers deterministically. The LLM is only used to format the verified numbers into clear executive English.
Have a process that should work better?
Bring us the bottleneck, the brittle build, or the idea. We'll give you a direct read on what to do next.