How to automate

How to Automate Reporting with AI

Reporting eats a full day every week in many teams. Data copied from ERP, CRM, Google Analytics, Excel, email. All of this can be automated — and the report delivered on time, error-free.

Common challenges

Weekly/monthly report eats 4-8 hours of someone senior's time

Data copied manually from 5+ systems — error sources

Systematic delays (Monday's report delivered Wednesday)

Report discussion happens after the data is already stale

Concrete steps

  1. 01

    Identify audience and decisions

    Who reads the report? What decisions do they make from it? That determines what metrics matter — not the other way around.

  2. 02

    Catalog data sources

    ERP (QuickBooks, SAP), CRM (HubSpot, Salesforce), Analytics (GA4), store (Shopify), operational Excels. For each: what fields, how to access (API, scheduled export, etc.).

  3. 03

    Build the pipeline

    Data pulled automatically → cleaned → aggregated → calculated (KPIs, vs prior period, vs target) → stored in a small warehouse (Postgres, BigQuery, ClickHouse).

  4. 04

    Generate visualizations

    Live dashboard (Metabase, Looker Studio, custom) or scheduled PDF emailed. AI can also write a short narrative: 'Sales grew 12% MoM, driven by conversion lift on page X.'

  5. 05

    Delivery and escalation

    Report lands automatically (Slack, email, dashboard). Anomalies (budget overruns, sales drops, errors) escalate directly to owners.

Common tools

Looker Studio (Google) — free, sufficient for many SMBsMetabase, Superset — open-source, self-hostedClickHouse, PostgreSQL — for data warehouseOpenAI / Claude for narrative generationCustom end-to-end orchestration

When to build custom

Build custom if you have data from 5+ systems, need cross-cut analytics (legal entity × location × product × period), or have specific regulatory requirements. For SMB with 1-2 sources, Google Sheets + Looker Studio may be enough.

Frequently asked questions

How fresh is the data? +

Depends on design: real-time (streaming), hourly, daily, weekly. Typical: weekly reports updated daily; monthly the same with 'live' figures.

Can I integrate with our operational spreadsheets? +

Yes. We read from Google Sheets or Excel hosted in SharePoint/OneDrive. Long-term, we recommend migrating critical data to a more robust source.

Who reads the report after automation? +

Same people — but instead of building it, they spend time acting on it. That's the real win.

What about audit-grade reporting? +

Full audit trail per figure: source, timestamp, transformation. Critical for tax or financial audit.

How long does implementation take? +

For a typical 3-5-source report, 4-8 weeks. For a full cross-org reporting system, 3-6 months.

Related case study /#/case/vc-startup-sourcing-pipeline →

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