Use case · Operations dashboard

Build an ops dashboard without a developer.

The Monday ritual: open five tools, export three spreadsheets, paste numbers into a doc nobody trusts by Wednesday. The numbers that run your business deserve one place that's always current - and you shouldn't need a data team to get it.

What your generated dashboard includes

Data flows in

  • Inbound webhooks from any tool with an API
  • Native Stripe, HubSpot, Google Sheets integrations
  • Scheduled refresh on a cron - hourly, daily, weekly
  • Records your team creates directly

One current picture

  • Views and tables across all your entities
  • Pipeline by stage, invoices by status, projects by health
  • Always live - it reads the records, not an export
  • Search and filters on everything

The AI Monday digest

  • Cron-triggered weekly summary, written by AI
  • What moved, what stalled, what needs attention
  • Delivered to email or Slack before your standup
  • You approve the tone once; it runs on schedule

Production-grade by default

  • Failed data syncs alert you - never silent staleness
  • Audit log on every change
  • Role-based access - who sees which numbers
  • EU-hosted, GDPR-ready, maintained for life

Try this exact prompt

Example prompt - paste it as-is

Build an operations dashboard for a 20-person services company. Track Projects (client, status, deadline, owner), Invoices (amount, status, due date), and Leads (source, stage, value). Receive new leads via webhook from our website, and paid-status updates from Stripe. Show me: active projects by health, overdue invoices by client, and pipeline value by stage. Every Monday at 8am, have AI write a summary of the week - new leads, payments received, projects at risk - and post it to our #ops Slack channel.

Preview it working in your browser before paying anything, then refine in plain language - "add a utilization view by team member" - with the dependency map showing what each change affects before it ships.

Dashboard, BI tool, or spreadsheet?

Spreadsheets go stale the moment they're exported. BI tools (Looker, Metabase) are powerful but assume the systems underneath already exist and someone technical will model the data. An Chromoly ops dashboard is the third path: the data, the workflows that act on it, and the views that display it are one generated system. When a number looks wrong you can click into the actual record, and when a data sync fails you get an alert instead of quietly wrong numbers. Feeding it from your CRM and invoice tracker on the same platform makes the whole picture one build. Replacing a Zapier-and-spreadsheet setup? See how Chromoly compares.

Frequently asked questions

How does data get into the dashboard?

Inbound webhooks from any tool, native Stripe/HubSpot/Google integrations, cron-scheduled refreshes, and records your team creates. Always current, never an export.

Can it send me a weekly summary automatically?

Yes - cron workflow queries your data, AI writes the plain-language digest, delivered to email or Slack every Monday. Every send logged.

What can it show?

Views, tables, counts, and status breakdowns across any entities: pipeline by stage, invoices by status, projects by health, tickets by priority.

How is this different from a BI tool?

BI visualizes data that lives elsewhere and needs modeling. This is the system itself - data, workflows, and views in one build. Simpler for operational visibility; not a replacement for deep analytics stacks.

One place. Always current.

Describe the numbers you need to see. Working preview in your browser - free tier forever, no credit card.

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Webhook-fed · AI weekly digest · maintained for life