Automated Reporting & Analytics
“Your weekly report, written and delivered automatically.”
We build pipelines that pull data from your tools, run analysis, generate written summaries, and deliver them to your inbox or Slack on schedule.
You get clear insights without waiting for someone to pull the numbers together.
Start with a focused first build.
Send the workflow, the tools involved, and where the handoff breaks. We will map the smallest build that can prove value before you commit to a larger system.
The useful parts of this build.
These are the pieces buyers usually need when the workflow has to run inside a real product, CRM, dashboard, or internal operation.
Data pulled from APIs, databases, exports, and Google Sheets
Weekly summaries written from the numbers, not from guessing
Charts and tables built around the metrics managers already ask for
Reports delivered to email, Slack, dashboards, or internal portals
Missing data, strange numbers, and failed runs flagged early
How this moves from audit to production.
The first version stays narrow enough to ship, but includes the architecture, integrations, model layer, review path, and observability needed by a real team.
Define report recipients, source systems, refresh cadence, metric definitions, and anomaly thresholds.
Build data collectors for APIs, SQL databases, payment exports, Google Sheets, and CRM objects.
Create automated reporting queues that normalize data, calculate metrics, generate charts, and draft narrative summaries.
Schedule delivery through cron workers to email, Slack, dashboards, or internal portals with retry alerts.
Review report accuracy against analyst-produced baselines before expanding to more teams or departments.
Questions before building this workflow.
Can reports combine data from several tools?
Yes. We build connectors for APIs, databases, spreadsheets, CRMs, and payment systems, then normalize them before metrics or AI summaries are generated.
How are weekly reports delivered automatically?
Cron jobs enqueue report runs, workers fetch fresh data, generate tables and summaries, and deliver the result through email, Slack, or a dashboard.
Can the system alert us when a metric looks wrong?
Yes. We add anomaly checks, missing-data alerts, threshold triggers, and failure notifications so reporting queues do not silently produce bad outputs.
Related services in this category.
Send one workflow.
Send the workflow. We will show what to build first.