03 / Services
AI Automation
Copying data from one place to another is not a job.
AI workflow automation connects the tools a business already runs and removes the copy-paste work between them. Deterministic steps like triggers, API calls and retries run in n8n, while AI handles only the judgment steps such as classification and extraction. SpaceAI360 builds these workflows at a fixed price.
Most businesses lose entire days each week to work a machine should do: moving data between tools, formatting reports, chasing follow-ups. We build automation pipelines on n8n with Claude handling the judgment steps classification, extraction, drafting so the pipeline handles real-world messiness instead of breaking on it.
In practice
What ai automation actually does
Every workflow reduces to four stages: trigger, transform, judgment, action. Keeping those stages separate is the single most important architectural decision, because deterministic work belongs in code and judgment belongs in a model. Three of the most common builds:
Intake that files itself
A form, email or upload arrives. Attachments are parsed, images are put through OCR, the model extracts structured fields, code validates them against your database, and clean records post to your ERP or CRM while anything doubtful waits in a review queue.
Reporting that writes itself
Instead of exporting a CSV every Monday, a scheduled workflow pulls from Stripe, your CRM and your database, reconciles the numbers, and posts a written summary to Slack explaining what moved and what needs a decision.
Handoffs that stop falling through
When a deal closes, onboarding tasks are created, the welcome sequence starts, the finance sheet updates and the account manager gets a briefing. The steps that used to depend on someone remembering now run on rails.
Deliverables
What you get
- Automation audit: we map where the hours actually go
- n8n workflows connected to your existing tools
- Claude-powered steps for classification, extraction, and drafting
- Error handling, retries, and alerting not just the happy path
- Documentation your team can maintain
Outcomes
What changes
- Processes that ran on someone’s memory now run on rails
- Same-minute turnaround on intake, routing, and reporting
- Workflows you own and can extend hosted in your accounts
Process
How we build it
Four stages, fixed scope, and working software in week one rather than a discovery phase that produces slides.
Week 0
Automation audit
For one week your team tags any task performed more than three times a day. We score each by frequency times time cost against how much judgment it truly needs. High frequency and low judgment is your automation backlog, already prioritized.
Week 1
Design and schema
We map the process as it actually runs, define input and output schemas for every step, and decide where humans stay in the loop before any building starts.
Weeks 1 to 3
Build in your accounts
Workflows are built in your own n8n instance so your team can read them after handover. Claude handles the judgment steps as tightly scoped calls with schema-validated output.
Weeks 3 to 4
Error handling and parallel run
Idempotency, retries, dead-letter queues and alerting, then a parallel run against the manual process until the workflow matches or beats it for five consecutive business days.
Integrations
What it integrates with
If a system has an API we can connect to it. These are the tools we wire into most often, and the list is not exhaustive.
- n8n
- Google Sheets
- Airtable
- HubSpot
- Salesforce
- Pipedrive
- Gmail
- Outlook
- Slack
- Stripe
- Shopify
- Notion
- Postgres
- Zendesk
- Calendly
Investment
What it costs
Automation builds start at $997 setup plus $297 a month for a single workflow with monitoring. Multi-workflow systems sit at $2,497 setup plus $797 a month. Everything runs in your own n8n instance and your own API accounts, so you keep the systems and the infrastructure relationship if you ever leave.
See full pricing for every tier or estimate your return first.
How long it takes
| When | Focus | What you get |
|---|---|---|
| Week 0 | Automation audit | Prioritized backlog and fixed price |
| Week 1 | Design, schemas and first build | Workflow running on test data |
| Weeks 2 to 3 | Integrations and error handling | Production-grade pipeline |
| Week 4 | Parallel run and handover | Documented workflows you own |
Evidence
Where this has been built
Each build is labelled honestly as an internal build, a solution blueprint or a productized template, and documented end to end.
FAQ
Frequently asked questions
The questions buyers ask about ai automation before booking a call.
Typical stack
Ready to put your business on autopilot?
One call. We map the hours you're losing and quote the system that gets them back scoped and priced before you commit to anything.