Workflow, data, and back-office automations that replace spreadsheets and manual ops with reliable pipelines.
Not every automation needs AI. Sometimes it just needs a properly built workflow. We design back-office automations end-to-end: data ingestion, ETL, integrations, scheduled jobs, idempotent retries, and dashboards your team will actually look at. Reliable, monitored, owned.
Most operations problems are not AI problems. They are coordination problems: the same data lives in five systems, three people own pieces of the workflow, and the connecting tissue is a spreadsheet that breaks every Monday. Automation is the boring engineering that makes the connecting tissue real software.
We pick the lightest tool that survives production. n8n or Make for low-code workflows you want non-engineers to maintain. Temporal or Prefect for code-defined durable workflows when scale and reliability matter. Airflow for data-heavy DAGs. Always observable, always idempotent, always replaceable.
From quick wins with n8n, Make, or Zapier to durable Temporal, Airflow, or Prefect workflows when the scale demands it. We pick the lightest tool that survives production.
ETL/ELT with Airbyte, Fivetran, or Meltano. Transformations with dbt. Warehouses on Snowflake, BigQuery, or Postgres. Reverse-ETL via Hightouch or Census.
Connecting the 20 tools your business actually runs on. CRMs (HubSpot, Salesforce), billing (Stripe), support (Zendesk, Intercom), ops, with idempotent retries and observability baked in.
Dashboards, admin panels, and ops UIs using Django admin, Retool, Tooljet, or custom React. Replace spreadsheets with software your team trusts.
HubSpot ↔ Stripe ↔ Slack ↔ your data warehouse. The pipes that keep marketing, sales, and finance in sync without manual exports.
Inbound ticket triage, routing, draft responses, SLA escalation. Built in n8n or Temporal depending on volume.
Airbyte / Fivetran ingest → dbt transform → Snowflake / BigQuery warehouse → reverse-ETL back into the tools your team uses.
Replace 47 spreadsheets with one Django ops app, role-based dashboards, full audit log, importer for the legacy data.
Inbox → OCR → structured extraction → ERP. Humans review only the unsure ones.
Weekly customer health digests, monthly board reports, daily ops summaries. Reliable, monitored, on-time.
Every action logged with who, when, and why. Auditors get a one-click report instead of a three-week investigation.
Typical client saves 40–60 hours per week across the ops team in the first quarter.
Idempotent steps and durable retries. A flaky API at 2am does not become a Tuesday all-hands.
Standard tools. Your team can take it over, change it, or rip it out without us. No magic boxes.
Want the full picture across every service? See the complete stack.
n8n: when you want self-hosted, want non-engineers to maintain, and need more flexibility than Zapier. Zapier / Make: when the team is non-technical and the workflows are simple. Temporal or Prefect: when failures, retries, and long-running jobs need real engineering. Airflow: when the workload is data-heavy DAGs. We tell you which one fits your scale.
Yes, dbt is our default for SQL transformations on top of Snowflake, BigQuery, Postgres, or Redshift. Including tests, docs, exposures, and CI integration.
Often, yes. We audit what is in place, identify the parts that earn their keep, and rebuild the rest on tooling your team can actually own. Migrations are typically tenant-by-tenant or workflow-by-workflow, never big-bang.
HubSpot, Salesforce, Stripe, Slack, Linear, Asana, Notion, Google Workspace, Microsoft 365, Zendesk, Intercom, QuickBooks, Xero, Twilio, SendGrid. If there is an API, we have wired it. We use webhooks + idempotency keys + retry queues, not "fire and pray".
Tell us about the workflow you want to fix, the bottleneck you want gone, or the product you want shipped. We come back within 24 hours, usually with a few sharper questions.
