Most of what gets called “AI” inside companies is actually a workflow problem: a series of triggers, transforms, and tools that humans currently click through manually. We automate them, and we match the tool to the complexity of the work rather than defaulting to the most expensive option.
Who this is for
SMB founders losing time to tab-switching and manual data entry. Operations leaders running spreadsheet-driven processes that should not require a human. Engineering teams that need internal tooling shipped without a six-month roadmap slot.
What you get
- Workflow mapped, named, and instrumented before a line of code is written.
- Implementation in n8n or Make for flows your team can maintain visually, or custom code for the cases that need real branching logic.
- Triggers wired to your existing systems: CRM, email, Slack, and webhooks.
- Error handling with retry policy and dead-letter logging so you know when something fails.
- Cost-per-run tracking so the workflow pays for itself visibly.
- Handover and team training so your operations team owns it after day 30.
How we work on this
We spend the first week auditing the workflow and mapping what actually happens versus what the documentation says happens. Those two things are almost never the same. Then we build, ship, and monitor. Most workflows are live in two to three weeks.
Tech stack
n8n when your team wants a visual editor they can extend themselves. Make for marketing-led operations teams. Inngest or Trigger.dev when you need code-first reliability with built-in retries. Plain Python when the workflow needs real branching logic or custom data processing.
When this is the wrong choice
If the workflow requires human judgment at every step, automation will produce more errors than it prevents. We will tell you this after the audit, and we will not build something that makes the problem worse.
Pricing
$1,500 to $5,000 for single workflows. $5,000 to $15,000 for connected workflow suites where multiple systems need to talk to each other. $15,000 to $20,000 for full agentic systems that span departments and require custom orchestration.
FAQ
What is the typical cost-per-run? For n8n and Make workflows, $0.001 to $0.05 per run depending on what the workflow calls. For workflows with AI model calls, $0.01 to $0.20 per run depending on the model and token count. We show you this number before we build.
Who owns the workflow after handover? You do. For n8n and Make workflows, your operations team can edit them directly. For code-based workflows, source code is in your repository with documentation.
What about vendor lock-in? n8n is open source and can be self-hosted. Make is proprietary but exports workflow JSON. For mission-critical workflows we recommend n8n self-hosted or code-based implementations.
How do you handle maintenance? The 30-day post-launch warranty covers anything that breaks. After that, we offer a monthly retainer for ongoing monitoring and updates, or your team takes it over with the documentation we provide.