Lead routing and enrichment
New leads from forms, chat or ads are enriched with company details, scored, assigned to the right rep in your CRM and announced in Slack, within minutes instead of whenever someone checks.
n8n · Make · Zapier · AI models
AI Automation Agency: Workflows That Give Your Team Hours Back
As an AI automation agency, we find the repetitive work slowing your team down and build workflows in n8n, Make or Zapier that handle it, with AI steps only where a task needs reading, sorting or writing.
Wix Legend Partner · 2,000+ projects since 2014 · 1,400+ client reviews
What does an AI automation agency do?
An AI automation agency designs and builds workflows that move information between your business tools automatically, using AI models for steps that need judgment, like sorting emails, reading invoices or summarizing calls. It suits teams losing hours every week to copy-paste admin, manual follow-ups and reports assembled by hand.
AI workflow automation we build
Email and inbox triage
Incoming email is sorted into sales, support, billing or noise, key details are pulled out and a draft reply is prepared for a person to approve and send.
Document processing
Invoices, purchase orders, applications and contracts become structured data. Each extraction is checked against rules (do the totals add up, does the PO exist?) and anything uncertain goes to a review queue.
Automated reporting
Numbers are pulled from Google Analytics 4, ad platforms, your CRM and your store, then summarized in plain English with what changed and why it might matter, delivered every Monday.
CRM hygiene
Duplicate contacts merged, company names and job titles standardized, missing fields filled and stale deals flagged, so your pipeline reports reflect reality.
Content workflows
Briefs turned into first drafts, webinars cut into social posts, spec sheets turned into product descriptions. A person always approves before anything is published.
Website and store triggers
Form submissions, orders and bookings on Wix, WordPress, Webflow or Shopify kick off onboarding emails, invoices, tasks and follow-ups. On Wix sites we often connect through Velo webhooks and backend code.
n8n, Make or Zapier: choosing a platform
We work across all three, plus custom code, so our recommendation follows your needs rather than a preferred tool.
| Zapier | Make | n8n | |
|---|---|---|---|
| Best for | Quick setup and the widest app catalog | Visual, multi-branch scenarios | Complex logic, AI agents, self-hosting |
| Easiest for your team to edit | Yes | With some training | Best for technical teams |
| Hosting | Cloud | Cloud | Cloud or self-hosted |
| Billing unit | Tasks | Credits | Executions (cloud); self-hosted Community Edition is free, you pay for the server |
| AI capabilities | AI steps and Zapier Agents | AI modules and agents | AI Agent and LangChain-based nodes |
If you already pay for one platform, we usually build there. Our Zapier experts favor it for simple flows your staff will maintain; as Make.com experts we pick Make when a process branches in many directions; and we act as your n8n automation agency when you need heavy logic, AI agents or data kept on your own servers. At high volume, a small custom service in Node.js or Python can be cheaper to run.
Where the AI goes inside a workflow
Most of a good workflow is plain automation: triggers, lookups, filters and updates that behave the same every time. AI models handle the few steps that involve language, like classifying, extracting, summarizing or drafting.
We make those steps dependable by requiring structured output, setting confidence thresholds and sending low-confidence items to a human review queue. A typical flow: new email arrives → AI classifies it and extracts details → rules route it → CRM updates → anything uncertain waits for a person.
Most of a good workflow is plain automation: triggers, lookups, filters and updates that behave the same every time. AI models handle the few steps that involve language, like classifying, extracting, summarizing or drafting.
We make those steps dependable by requiring structured output, setting confidence thresholds and sending low-confidence items to a human review queue. A typical flow: new email arrives → AI classifies it and extracts details → rules route it → CRM updates → anything uncertain waits for a person.
The ROI of AI automation, honestly
The math is simple: hours saved per week × working weeks × loaded hourly cost, minus build cost, platform fees, AI usage and maintenance.
Illustrative example, not a client result: a coordinator spends 5 hours a week keying in invoice data. Automation handles most invoices and flags the rest, saving about 4 hours a week. At a loaded cost of $35 an hour, that's roughly $7,000 a year (4 × 50 × $35). If the build and running costs come in well under that, it pays back within the first year. If the task only takes 30 minutes a week, it probably won't.
What ROI estimates usually miss: time spent reviewing flagged items, fixes when a connected app changes its API, and platform fees that grow with volume. We include all three, plus harder-to-price benefits like faster lead replies and fewer keying errors.
When simple automation without AI is better
AI adds cost, a little latency and some unpredictability. Skip it when:
- The inputs are already structured. Form fields and order data don't need a language model to read them.
- The rules are clear. "If the state is California, assign to the West team" is a filter, not an AI task.
- Numbers must be exact. Totals, taxes and prices are calculated in code, never by a language model.
- Volume is huge and each task is trivial. Per-call AI costs add up quickly.
- Mistakes are costly and nobody can review. Plain rules are fully predictable and easy to audit.
A useful test: if you could write the rule on a sticky note, you don't need AI for that step.
Why choose Wix Engine as your AI automation agency
We build where your data starts
Since 2014 we've delivered 2,000+ website and app projects on Wix, WordPress, Webflow, Shopify and custom stacks. We know how form, order and booking data is structured at the source, which is where many workflows break.
Built to survive real use
Every workflow gets error handling, retries, alerts to a named person and logs. You also receive documentation and a short run-book explaining what each automation does.
Your accounts, your workflows
Automations live in platform accounts registered to your business, not ours, and once the project is paid in full the workflows, prompts and documentation are yours.
How we automate a process
- 01
Free 30-minute call
List the tasks that eat your week. Detailed proposal within 24 hours.
- 02
Process mapping and ROI ranking
We document current steps, estimate hours involved and rank candidates by payback.
- 03
Build with error handling
Workflows are built and tested on sample data, with review queues where AI is involved.
- 04
Parallel run
The automation runs alongside your manual process for a short period so we can compare results.
- 05
Launch and monitor
Alerts and logs go live and we watch the first weeks closely.
- 06
Monthly care (optional)
Fixes when connected apps change, plus new workflows as you find more to automate.
Tools & technologies
automation platforms
- n8n (cloud and self-hosted)
- Make
- Zapier
ai models
- OpenAI
- Claude (Anthropic)
- Gemini
common connections
custom code
- JavaScript and Node.js
- Python
- REST APIs
- webhooks
- Docker for self-hosted n8n
Work
Automation work
E-receipts issued automatically for every online purchase A client selling pricing plans on a Wix site needed a fiscal receipt for every sale. We connected the site to the eParagony.pl e-receipt API: each pricing-plan purchase now generates an e-receipt automatically, and the customer gets the receipt link by email. Nobody on the team issues receipts by hand. It's a rules-based workflow rather than an AI one, but it's built the way we build AI automations: a clear trigger, an API call and a confirmation the customer receives.
AI chatbots on live Wix sites We've also built custom AI chatbots for Canada Medical Notes, US Medical Notes and Sharon Homes, written with Velo and custom elements on Wix. See our AI chatbot work →
What clients said
- Workflow automation
“The developer successfully automated our sales-to-fiscal workflow. Every pricing plan purchase on the website now triggers automatic e-receipt generation via the eParagony.pl API. Additionally, he set up an automated email that delivers the online receipt links directly to clients. Great work. Thanks!”
bbartosz299Poland · via Fiverr
How much does AI automation cost?
AI automation projects start from $3,000.
What affects the price:
- Number of workflows and steps a two-step notification is quick; a 30-step process with branches is not.
- Systems involved well-documented APIs are faster to connect than legacy tools.
- AI steps and review queues each AI step needs prompt design, testing and an exception path.
- Hosting self-hosting n8n adds server setup and maintenance.
Running costs are billed to your own accounts: the platform subscription, AI model usage and, for self-hosted n8n, a server. We estimate them before you commit.
You can work with us on a fixed price per workflow or bundle, a monthly retainer for monitoring and changes, or hourly for small tweaks. Send us your list of repetitive tasks for an estimate within 48 hours.
FAQ
Frequently asked questions
How much does an AI automation agency charge?
Pricing depends on the number of workflows, systems and AI steps involved, and projects start from $3,000. We quote fixed prices per workflow or bundle, offer monthly retainers for upkeep, and bill platform and AI usage fees to your own accounts. Send us your task list and we'll return an estimate within 48 hours.
Which is better for AI automation: n8n, Make or Zapier?
It depends on who maintains it and how complex it is. Zapier is the easiest for non-technical teams and connects to the most apps. Make handles branching scenarios visually. n8n suits complex logic, AI agents and companies that want to self-host. We recommend based on your volume, budget and team.
Is n8n free to use?
The self-hosted n8n Community Edition is free to use under n8n's fair-code license, with no per-execution fees; you pay for the server and the time to maintain it. n8n's cloud plans are paid and billed by workflow executions. We help you compare the true cost of each option for your volume.
What business processes can be automated with AI?
The best candidates are repetitive, high-volume and language-heavy: sorting email, extracting data from invoices and forms, routing and enriching leads, summarizing calls, tagging tickets, cleaning CRM data and writing routine reports. Tasks that need exact calculations or clear rules are better automated without AI.
How do you calculate the ROI of business process automation?
Multiply the hours saved each week by working weeks and your loaded hourly cost, then subtract the build cost, platform fees, AI usage and maintenance. Include the time people spend reviewing flagged items. If payback takes longer than a year or two, the process may not be worth automating yet.
What happens when an automation breaks?
It alerts a named person immediately instead of failing silently. Every workflow we build includes error handling, automatic retries for temporary failures and logs showing what happened. Most breakages come from a connected app changing its API, which our optional monthly care plan covers.
Is our data safe in automated workflows?
We connect apps with scoped credentials, keep secrets in each platform's credential store, use paid AI API tiers that don't train on your data by default and avoid sending sensitive fields to AI steps unless they're needed. For strict data requirements, self-hosted n8n keeps workflow data on your own servers.
Send us the tasks that eat your week
Book a free 30-minute call. We'll point out what's worth automating, what isn't, and send a detailed proposal within 24 hours.
Sohaib Mehmood
Owner & CEO
Wix Legend Partner · 2,000+ projects since 2014 · 1,400+ client reviews