An AI automation agency for the work your team retypes every day.

An AI automation agency connects the tools you already use, so data moves between them without anyone retyping it: CRM, email, invoicing, orders and support. We build in n8n, Make or Zapier, with language models from Anthropic or OpenAI where a step has to read a document or an email. Your team sets the rules, and the workflow sends edge cases to a person.

AI automation runs structured workflows: clear triggers, clear rules, the same steps every time. An AI agent reads, judges and chooses between several actions. A simple test: if the steps are the same every time, automate them. If someone has to read, judge and decide, that is agent work. Many projects start with automation and add an agent for the step that needs judgment.

Frequent, rule-based work that crosses two or more systems. The common ones are order sync, invoice matching, lead routing, support ticket triage and month-end reporting. If the same person copies the same fields between the same tools every day, it is a good candidate.

Five steps. A scoping call with the founder. The workflow running on a few of your own records before you sign. One fixed price in writing with a dated schedule, paid in milestones. Launch, with defects fixed inside the build price for an agreed cover period. Then optional support, with each change quoted and approved first.

A workflow between two tools is usually the shortest job. Workflows that read documents, cross several systems or need approval steps take longer. You get a dated schedule with the fixed price after the scoping call, so the timeline is in writing before you commit.

Three answers and a few samples. What starts the work, such as an order email, an invoice or a form. Which systems it touches, such as NetSuite, HubSpot or QuickBooks. How often it happens and who handles it today. Then a few real examples, with names removed if you prefer. A process doc or a short brief helps most: attach it at step 2 of the form and we scope each phase at a fixed price.

No. You describe the current process in plain English. We build the workflow, document every step, and show your team where to see what ran and what failed.

Layer3 Labs puts a single-workflow build at $5,000 to $15,000 and a multi-workflow project at $15,000 to $50,000, in its AI automation agency cost guide updated 2 July 2026. The cost moves with the number of workflows, the tools involved and how much reading or judgment the steps need. FactoryJet quotes one fixed price in writing after the scoping call, paid in milestones.

Only the tools themselves: your Make, Zapier or n8n plan, and AI model usage, both billed to your own accounts at cost with no markup from us. Support from FactoryJet after the defect cover period is optional, quoted per change, and there is no monthly minimum.

Start with one task. Multiply how often it runs each week by the minutes it takes and what that time costs you, then compare that with the build price. We work this out with your own numbers on the scoping call, and we will tell you if the payback is too slow to be worth building.

We build in n8n, Make and Zapier, with models from Anthropic and OpenAI for reading and sorting text. We connect HubSpot, Salesforce and Pipedrive; Shopify, WooCommerce and BigCommerce; QuickBooks, Xero and NetSuite; Zendesk, Gorgias, Slack, Google Drive and Airtable. Any system with a REST API or webhooks can be connected.

Yes. Common builds sync Shopify orders to inventory, shipping and QuickBooks or Xero, tag and route support tickets in Gorgias or Zendesk, and draft replies from live order data. When you want tickets resolved end to end rather than routed, that is an AI customer support agent, which we also build.

Workflows are built from separate connectors. Swapping HubSpot for Salesforce, or QuickBooks for Xero, means replacing that connector while the business rules stay the same. Every connection is documented so the change is a scoped job, not a rebuild.

We connect with API credentials limited to what each step needs, and no credentials are stored in plain text. For medical and financial teams we can run self-hosted n8n inside your own infrastructure, so the data never leaves it.

You do, from day one. The workflows live in your own n8n, Make or Zapier account, and any custom code sits in a repository you own. The prompts are part of that code, written down and versioned in your repository. Credentials are yours, and AI usage is billed to your own Anthropic or OpenAI account with no markup from us. If you stop working with us, everything keeps running and any developer can pick it up.

Yes. The agent reads each order email or PDF attachment, matches the lines to your NetSuite items, prices and customer records, and drafts the sales order. Anything it cannot match, such as an unknown SKU or a price outside the customer's terms, goes to a person with the reason attached. Your team approves the draft before it posts. The same pattern works for SAP Business One, Odoo and ERPNext.

Compliance is your legal team's call, and we build so they can sign off. Personal data stays in accounts you control, and self-hosted n8n can run on servers in the EU. The AI Act's transparency rules (Article 50) apply from August 2026, per the European Commission's AI Act page (digital-strategy.ec.europa.eu/en/policies/regulatory-framework-ai). Under them, a customer talking to an AI agent must be told it is a machine. We build customer-facing agents to say so, and each step is logged.

Data automation moves records between systems and cleans them on the way, so nobody retypes or reconciles by hand. FactoryJet builds these pipelines: Shopify orders into QuickBooks or Xero, CRM records synced with an ERP, and reports pulled from several tools on a fixed day. AI is added only where a step reads a PDF, a scan or an email. Tell us which systems hold the data and we scope it on the first call.

Most commerce automation covers the same jobs: orders and stock synced between the store, the warehouse and accounting, replies to order and returns questions drafted from live order data, abandoned cart and review follow-ups, product data clean-up, B2B quotes and scheduled sales reports. FactoryJet builds these on Shopify, WooCommerce and BigCommerce, and builds stores too, so the store and its automations can be planned together.

Simple linear zaps work well for basic triggers. An agency helps when steps need to read documents, branch on judgment or cross several databases. We can tidy an existing Zapier setup, or move high-volume tasks to n8n where per-task pricing gets expensive.

Five questions. Which of our current tools will run this? Who owns the workflows and the accounts? What happens when a third-party API changes? Is the price fixed or hourly? Can you show it working on our own data before we sign? Our list of the best US AI automation agencies compares 14 firms, including us.

Yes. Our list of the best AI automation agencies in the US compares 14 firms, FactoryJet included, grouped by the buyer each one suits: small businesses, mid-size operations teams, online stores and agencies that need white-label help. Each entry was checked on the firm's own site. To widen it, add the partner directories that Make and Zapier run, then send the same one-page brief to three firms and compare their questions.

Look for a firm whose examples are back-office chains, not chatbots or marketing funnels. FactoryJet works on order handling, daily bookkeeping, and purchase and sales order workflows, often inside an ERP such as Odoo, NetSuite, SAP Business One or ERPNext. Ask any operations specialist which systems it has connected before, and ask to see one workflow running on your own records before you sign.

Company-wide programs need things a single project does not: single sign-on, change control, audit logs and a named owner for every workflow. Global consultancies such as Deloitte and IBM Consulting run programs at that scale. FactoryJet suits an enterprise team that wants one department's workflow designed, built and supported, such as order intake or invoice matching, with self-hosted n8n inside your own infrastructure when the data has to stay there.

Mid-sized firms usually outgrow single zaps first: one order or invoice now crosses a CRM, an ERP and an accounting tool. FactoryJet builds those custom workflows in n8n, Make or Zapier and connects HubSpot, Salesforce, NetSuite, QuickBooks, Xero and Shopify. Our list of US AI automation agencies names other firms that work at this size, so you can compare at least three before you choose.

An agentic workflow is one where AI reads the situation, picks the next step and acts in your systems inside limits you set, such as drafting a sales order for a person to approve. Hire a firm that builds custom agents, not only tool connections, and ask it to show one running with its logs. FactoryJet builds both, and every workflow sends anything unclear to a person with the reason attached.

Start with one task rather than a whole program. Write down what starts it, which tools it touches and how often it happens, then send that page to a few agencies and compare the questions they ask back. FactoryJet runs the first call with the founder, tells you whether the task needs AI at all, and shows the workflow running on your own records before you sign.

Yes. Agencies usually need one of two things: a partner who builds a client's workflow under the agency's name, or support for automations the agency already runs. FactoryJet takes both as projects, and white-label work is welcome. Each build has a written scope and one fixed price, and support after launch is quoted per change, and there is no monthly minimum.

If you are weighing offshore help, the question that matters is how the work fits your working day. FactoryJet works remotely with agencies and schedules calls in US business hours. Every build runs against a written scope with dated milestones, payments are tied to those milestones, and every workflow is documented, so your own team can follow what was built without waiting on us.