Data Pipelines & Reporting.
Raw data from your tools, databases, and APIs — collected, transformed, and delivered as clean reports to your inbox or Slack on a schedule you define.
Five agents.
One dashboard.
Each agent owns one stage of the pipeline. Data flows from source to delivery without a human touching a spreadsheet.
Pulls data from your sources on a schedule — APIs, databases, spreadsheets, webhooks. Handles pagination, auth refresh, and retry on failure.
Cleans raw data, normalises formats, joins datasets across sources, and applies your business logic — currency conversion, date normalisation, deduplication.
Computes KPIs, compares against targets and prior periods, flags anomalies, and writes the narrative summary — so the report explains itself.
Builds the final report — charts, tables, and narrative — in the format you need: Slack message, HTML email, Google Slides, or PDF.
Sends the report to the right people at the right time, archives a copy, and logs the delivery — with read-receipt tracking if you need it.
Triggers runs on schedule or on-demand, coordinates every handoff, retries failed stages, and keeps a full audit log of every pipeline run.
Monday 08:00.
The weekly report writes itself.
Every Monday at 08:00, the pipeline wakes up. By 08:01:12 your team has a Slack message with last week's revenue, churn, and the three numbers that moved — and why.
What we need from you.
Read credentials for every source — database, API, or SaaS tool. We document what we touch and need nothing with write access unless the pipeline outputs there.
Your exact formulas: what counts as revenue, how you define churn, which date fields to use. If it's in a spreadsheet today, that's fine — we'll formalise it.
The last version of the report you're trying to automate, even if it's a rough Notion doc or a Google Sheet. We reverse-engineer the logic from what you already have.
One person who can say "that number looks wrong" during QA. ~1 hour a week for 3 weeks — most of the time we just need a sanity check on edge cases.
From kick-off to live.
Audit your data sources, define KPIs, agree the schedule and delivery format.
Pipeline wired end-to-end on your real data. Numbers verified against your current manual process.
Run in parallel with your existing report for two weeks. Fix any discrepancies until numbers match.
Cut over. We monitor the first two delivery cycles. Retainer available for new metrics or source changes.
Still doing this by hand?
Book a free 30-minute scoping call. Bring your current report and your data sources — we'll tell you exactly what's automatable and what it would take.