Automations

End-to-End AI Automations.

Webhook-driven, schedule-driven, CDC-driven. Pipelines that trigger, transform with AI, validate, and deliver — without you watching.

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What this is

Pipelines that run themselves.

Most "AI automation" is a Zapier flow with an OpenAI block bolted on. We build the actual production version: durable queues, retries, observability, and AI steps that are tested against real data.

Every pipeline ships with monitoring, cost telemetry, and a kill switch. Your ops team stops firefighting; the work just happens.

Webhook / Schedule / CDC
TransformLLM stepValidate
Deliver: Slack · Email · API · DB
99.7% uptime · async retries · full observability
Use cases

You need this if…

  • You have a manual process that runs hourly or nightly and absorbs hours of someone's week.
  • You want incoming emails, support tickets, or form submissions triaged and routed automatically.
  • You need to enrich, dedupe, or normalize data flowing between systems.
  • You're tired of low-code tools breaking silently in production.
Approach

How We Build It

01

Audit the flow

We map every input, transformation, and side effect. Edge cases included.

02

Build the pipeline

Durable execution, AI steps with eval gates, and structured outputs at every stage.

03

Operate it

Dashboards, alerts, cost tracking. You see what runs, what failed, what it cost.

Tech stack

Tools We Reach For

A pragmatic stack — not a fashion show. We pick what scales.

HatchetInngestTrigger.devOpenAIAnthropicPostgresSupabaseResendSlack APIWebhook.siteZod

Got a process you're tired of?

Tell us what runs manually today. We'll tell you what it takes to automate it for good.

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