AI automation agency services that ship workflows and agents to production
Our AI automation services build the n8n workflows and AI agents that take manual work off your team, inside the tools you already run. A single workflow starts in the low four figures and goes live in one to two weeks. We do not call it done until it runs on your real data, and we maintain it after launch. For B2B, SaaS and ecommerce teams in the USA and worldwide.
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Quick answer
An AI automation agency finds the repetitive work in your operations, then builds and maintains the workflows and AI agents that do it. AY Automate audits your workflow, builds it in n8n, Claude Code and your existing stack, tests it on real data, then maintains it. AI goes only where judgment is needed. The rest stays plain, cheaper automation.
Most AI projects stall between demo and production. Read why AI pilots do not reach production, use our production readiness checklist before you ship an agent, or start with AI strategy consulting if you are not sure what to automate yet.
AI automation shipped for teams at
1-2 wks
To ship a single workflow
4-8 wks
To ship a full automation system
$3K/mo
Embedded placement, starting from
$0
Cost of the audit call
What we build with
One opinionated stack, every engagement.
n8n handles the cron jobs, webhooks, and glue. Claude Code is the brain for logic a trigger cannot handle. Nothing gets bolted on that you cannot maintain after we leave.
- 01
Claude Codethe brain · subagents · MCP - 02
Anthropicmanaged agents · runtime - 03
CursorIDE pair-programming - 04
n8ncron · webhooks · glue - 05
E2Bsandboxed compute
Four Ways We Automate Your Operations
Our AI automation agency services break down into four core engagements. Every engagement starts as one of these, then expands once the first workflow proves itself.
Custom Automation
n8n workflows and autonomous agents that handle business logic 24/7, connected to the tools you already run.
Custom Workflow Automation
API integration and workflow engineering that replaces manual handoffs between your systems.
AI Agent Development
Custom agents and internal knowledge bases that execute multi-step work, not just answer questions.
RAG Pipeline Architecture
Private retrieval pipelines that ground AI answers in your own data instead of a public model's guess.
Need an engineer embedded on your team instead of a project delivered to it? See Forward Deployed Engineers and Engineer Placement.
What an AI Automation Agency Automates, by Team
If a person copies, checks or routes the same thing every day, it is a candidate. These are the jobs teams bring to the audit most often.
Sales and lead ops
Lead routing, CRM updates and follow-up that no longer wait on someone reading an inbox.
Customer support
Support triage, message classification and reply drafts a person approves before they send.
Back office and documents
Document handling and field extraction from messy PDFs and emails, written straight into your systems.
Reporting and data sync
Recurring reports and data syncs between the tools your team copies between by hand today.
Internal knowledge
Answers grounded in your own documents and data instead of a public model's guess.
SaaS and ecommerce ops
Onboarding and usage checks for SaaS. Order handling, inventory syncs across channels and customer service for ecommerce.
One workflow, before and after
Here is lead routing with the manual handoffs taken out. The same pattern applies to support triage, document intake and reporting.
Before
4 manual handoffs
- Form submittedLands in a shared inbox
- Someone reads itWhenever they get to itManual
- Copied into the CRMBy hand, field by fieldManual
- Assigned to a repBased on who remembers the rulesManual
- Follow-up sentHours or days laterManual
After
0 copy-paste, 1 AI step
- Form submittedWebhook fires in n8n
- AI classifies the leadThe one step that needs judgmentAI step
- CRM record createdFields mapped, no copy-paste
- Routed to the right repRules you can read and change
- Unsure? A human reviewsLow-confidence leads go to a person
What We Actually Ship
The worry with automation is that it fails quietly and nobody notices for a week. Every build has the same five parts, with error handling, retries and monitoring running under all of them.
01 Trigger
Something happens
- Webhook
- Schedule (cron)
- New email or form
- Row added
02 Workflow logic
n8n runs the rules
- Branching and conditions
- API calls
- Data mapping
- Claude Code for custom logic
03 AI step
Only where judgment is needed
- Classify a message
- Extract fields from a messy document
- Draft a reply
- RAG answers from your data
04 Human review
A person approves the uncertain cases
- Low-confidence results
- Drafts before they send
- Exceptions
05 Your systems
Results land where you work
- CRM
- Database
- Spreadsheets
- Email and Slack
- Private APIs
Runs under every step
Step 03 is where an AI agent or a RAG pipeline comes in. If your team wants to own step 02 itself, start with an AI workshop.
Audit, Build, Maintain. In That Order.
We do not sell a fixed package before we have seen your systems. Every engagement starts with an audit of what is actually happening today.
The loop repeats. Maintenance surfaces the next thing worth automating instead of ending the engagement.
Audit
Days
We map your current workflow: the manual steps, the tools involved, and where an agent or automation actually pays for itself. Output: a scoped plan, not a sales pitch.
Build
Scoped in audit
We build the automation or agent in n8n, Claude Code, and your existing stack, sandboxed first, with real usage tested before it touches production.
Deploy
Scoped in audit
We ship into your systems, not a demo environment. You see it running on real data before we call it done.
Maintain
Ongoing
Automations break when APIs change and edge cases appear. We keep watching after launch instead of handing you a workflow and disappearing.
Single workflow
1-2 weeks
Full automation system
4-8 weeks
Both ranges are timed during the audit call, not a fixed quote sight unseen.
Automations break when APIs change. See Automation Maintenance & Support for what the maintain step covers.
Still comparing options? See our breakdown of the best AI automation agencies for what to check before hiring one.
What Automation Actually Costs, By Path
The three real numbers already on this page, side by side.
The in-house figure is an annual cost (from this page's own pricing copy above: $150,000+ salary plus roughly $30,000 in benefits for a US in-house hire). Embedded placement is priced monthly, starting from $3K/month, so it is not charted against an annual figure. The single-workflow figure is a one-time build cost for one focused automation, not a yearly number, shown here for scale only, not a like-for-like comparison.
Real Automation, Real Outcomes
No invented statistics. Every number below is from a published case study.
Saved €10K in Fines
Legal & Compliance Automation
95% Tasks Automated
Marketing Operations Automation
24/7 Resolution
Customer Support Automation
Client Reviews
Real Results from 30+ Companies
Elie Salame
COO · Adstronaut.io
Elie Salame
COO · Adstronaut.io
AI Automation Agency vs In-House vs Freelancer vs DIY
Most AI automation agencies quote a package before they have seen your systems. An honest look at the four ways to get automation built, so you can pick the one that fits your stage.
| In-House Hire | Freelancer | No-Code DIY | AY Automate | |
|---|---|---|---|---|
| Upfront cost | $150,000+ salary plus ~$30,000 benefits | Lower hourly rate, but scope creep is common | Lowest cash cost, highest time cost | Custom, scoped after an audit, no fixed package |
| Time to first workflow | Weeks to hire, then ramp-up time | Days to start, quality varies by person | Days, if you already know the no-code tool | Audit in days, first workflow scoped on the same call |
| Ongoing maintenance | Depends on the person staying | Usually not included, re-hire per fix | You maintain it yourself | Included as an explicit line item |
| Complex, multi-system logic | Depends entirely on the hire's skill level | Depends entirely on the freelancer's skill level | Breaks down past simple triggers | Built for multi-step, multi-system workflows by design |
| Accountability | You manage the output | You manage the output | You own every failure | We stay accountable through the build and after launch |
No-code DIY tools are a legitimate starting point for a single simple trigger. They tend to break down once a workflow needs conditional logic across more than two systems, which is the point most of our clients come to us.
Every engagement, no exceptions
What Is Included in Every Build
Monitoring wired in from day one
Failures surface as an alert, not a silent broken workflow a client discovers first.
Error handling and retries
The happy path plus what happens when an API changes or an input is malformed.
Documentation and handover
Your team can read what shipped, not just click a button and hope it keeps working.
Accountability after launch
A maintenance retainer or a clean handover, never a workflow dropped and abandoned.
How AI Automation Agency Engagements Are Priced
We do not sell fixed packages sight unseen. Pricing is scoped to what you actually need, based on our current engagement types.
Single workflow
Low four figures
One focused workflow, live in one to two weeks, with error handling, retries, and monitoring built in from day one.
Full automation system
Scoped after audit call
AI steps, monitoring, and integrations across multiple systems, typically four to eight weeks. There is no fixed package because the scope depends on how many systems and how much logic is involved.
Embedded engineering placement
From $3K/month
If you need a dedicated engineer building and maintaining automation full time inside your team, that is placement pricing, starting from $3K/month. A US in-house hire runs $150,000+ in salary plus roughly $30,000 in benefits.
Whichever model fits, the first call is free and the audit tells you the real number before you commit to anything.
Teams who chose the audit over the pitch
+45 founders and operators
“The team is super fast - sometimes we had to slow them down. We managed to scale the company without investing into hiring.”
Elie Salame
COO, Adstronaut.io
When an agency fits
- Your workflow touches more than two systems or needs conditional logic.
- You want the audit, the build, and the maintenance from one accountable team.
- You would rather scope a real number than commit to a fixed package sight unseen.
When it does not
- You have one simple trigger a no-code tool alone can already handle.
- You need a full-time engineer embedded in your team, not a scoped project. See Forward Deployed Engineers instead.
- You are not ready to give access to the systems the automation needs to touch.
Find the first automation worth building
Bring your slowest process. We tell you what to automate, what to skip, and what the first build looks like.
Related
- AI automation consultingA scoped roadmap before any build.
- AI implementation servicesFrom pilot to running system.
- Client workThe full client portfolio with results.
Free AI agent audit
Find which AI agents your tools could run
We read your site and detect the CRM, helpdesk, marketing and workflow tools you already run. You get the AI agents those tools could support. A work email shows the full list of opportunities.
Use Claude Code, Cursor or Codex? Paste this into your agent
Fetch https://www.ayautomate.com/SKILL.md and run its AI agents check on my site: detect my current tools and list which AI agents I could run on them.
Ready to Automate the Work That Is Slowing You Down?
Book a free audit call. We will map what is worth automating first and give you a scoped number, not a sales pitch.
Book a 30min Free Strategy Call
In this call, we'll walk through your project scope, timeline, and goals - so we can both check if we're a fit. No obligation, no slide deck, just a working session.
Don't want a call? Email walid@ayautomate.com
“The team is super fast - sometimes we had to slow them down. We managed to scale the company without investing into hiring.”
Elie Salame
COO, Adstronaut.io
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Automation Audit
Share your use case, then schedule the call directly on this page.
Free · You keep the scoped plan either way
Recommended services
Custom Automation
n8n workflows and autonomous agents for business logic that runs 24/7.
Custom Workflow Automation
API integration that replaces manual handoffs between systems.
AI Agent Development
Custom agents and internal knowledge bases for complex, multi-step work.
Forward Deployed Engineers
An embedded engineer instead of a scoped project, when that fits better.
FAQ
AI Automation Agency Questions
What is the difference between an automation agency and an AI automation agency?+
An automation agency connects tools with rules: when this happens, do that. An AI automation agency adds model steps where a rule cannot decide, like reading a support message to classify it or pulling fields out of a messy invoice. In practice most of a good build is still plain workflow logic. AI is one or two steps inside it, not the whole system.
When does a workflow need an AI agent instead of plain automation?+
When the next step depends on judgment over messy input and cannot be written as a rule. Routing a form by a dropdown value is plain automation. Reading a free-text request, deciding what it is and drafting a reply is agent work. We build the agent only for that part, keep the rest deterministic, and send low-confidence cases to a person for review.
What is an AI automation agency, and how is AY Automate different?+
An AI automation agency builds the workflows and agents that remove manual work from your operations. At AY Automate one senior engineer directs a fleet of AI agents, so you get one accountable builder for strategy, build and post-launch support instead of three separate vendors.
Do you build custom workflow solutions or use templates?+
Custom. We scope your actual systems in an audit, then build on n8n and code where templates fall short. Pricing is scoped after the audit, not sold as a fixed package.
How do I hire an AI automation agency?+
Start with the audit call: a real agency scopes your actual systems before quoting a number, rather than selling a fixed package sight unseen. Check that they can show working builds, not just slides, and that they stay accountable after launch through a maintenance retainer or handover documentation.
What does an AI automation agency do?+
An AI automation agency, sometimes called an AI automation company, replaces repetitive manual work with systems that run on their own: lead routing, reporting, document handling, support triage, data syncs between the tools you already use. AI matters where judgment is involved, like classifying a message or extracting data from a messy document. We are tool-honest: n8n where it is the fastest reliable path, custom code where the workflow needs more control, and no AI at all where a plain rules-based flow does the job cheaper.
Is an AI automation agency the same as a workflow automation agency?+
Yes, same service, different vocabulary. Both describe an agency that designs and builds systems to remove manual work from your operations. We use n8n for the workflow logic and add an AI agent only where judgment is actually needed, like classifying a message or drafting a reply for review, not everywhere by default.
What does an AI automation agency cost?+
Focused single-workflow builds start in the low four figures and ship in one to two weeks. Full automation systems with AI steps, monitoring, and integrations typically run four to eight weeks and are scoped after the audit call, because the honest answer depends on how many systems the workflow touches. If you need a dedicated engineer embedded full time instead of a scoped project, placement pricing starts from $3K/month. A US in-house hire typically costs $150,000+ in salary plus roughly $30,000 in benefits.
How is an AI automation agency different from hiring in-house?+
An in-house hire costs $150,000+ in salary plus benefits and takes weeks to recruit before they start producing. An agency engagement starts with a scoped audit, builds against your existing stack, and you are not carrying a full-time salary, payroll taxes, or a hiring pipeline for a role you may only need part of the time.
How is this different from hiring a freelancer?+
A freelancer builds the happy path. We build the happy path plus error handling, retries, monitoring, and documentation, and stay accountable for the system after launch. That difference is invisible in the demo and decisive in month three.
Do you use AI in every automation?+
No. AI adds cost and variance, so it only goes where judgment is involved: classification, extraction from messy input, or drafting for human review. Deterministic steps stay deterministic.
Can I just use a no-code tool myself instead of hiring an agency?+
For a single simple trigger, yes, a no-code tool alone can work. Most teams come to an agency once the workflow needs conditional logic across more than two systems, error handling, or an AI agent making decisions, which is where DIY no-code setups tend to break down.
How long does an AI automation agency engagement take?+
A single focused workflow is typically live in one to two weeks. A full automation system, with an AI layer, monitoring, and integrations across multiple tools, typically takes four to eight weeks and is timed during the audit call.
Can you work with our existing tech stack?+
Yes. We connect the CRM, database, spreadsheets, email, Slack, and private APIs you already run rather than forcing a new stack. Most builds are integration-heavy by design.
What happens after the automation ships? Do you maintain it?+
Either a clean handover with documentation and a working session for your team, or a maintenance retainer where we watch the monitors, handle API changes, and extend the system as your process evolves.
Is an AI automation agency the same as an AI agent development company?+
They overlap. Agent development is one of the services an automation agency delivers, building autonomous agents for complex logic, alongside workflow automation, API integration, and RAG pipelines. If you already know you need an agent specifically, our AI agent development page covers that scope in detail.
What's the difference between an AI automation agency and an automation consultant?+
A consultant typically advises and hands you a recommendation. An agency scopes the audit, then builds and ships the system itself. We do both under one team: the audit call is the consulting step, and the build plus maintenance is the agency work, instead of a hand-off between two separate vendors.
Do you work with companies in the USA, or only internationally?+
Both. Every engagement is remote-first: the audit call, the build, and ongoing maintenance happen over video and your existing tools. We work with teams across the USA on US business hours and with international teams the same way, so location does not change the engagement.
Are you a B2B AI automation agency, or do you also build consumer apps?+
B2B. Our engagements automate internal operations and customer-facing workflows for companies, not consumer social apps. Most clients are SaaS platforms, ecommerce operators, agencies, and internal operations teams removing manual work from processes their own staff or customers run into daily.
Do you build automations for SaaS and ecommerce companies specifically?+
Yes, alongside other B2B teams. SaaS companies typically automate onboarding, usage checks, and support triage. Ecommerce operators automate order handling, inventory syncs across channels, and customer service. Both run through the same audit, build, maintain model as every other engagement.
Is this different from IT automation or CRM automation specifically?+
No, it's the same underlying work described with different vocabulary. IT systems and CRM automation are two of the systems we connect into a workflow, alongside your database, spreadsheets, email, and internal APIs, scoped to your engagement.
How do I find the best AI automation agency for my business?+
Pick the one that scopes your systems before it quotes, shows working builds instead of slides, and stays accountable after launch. Ask how they handle errors, retries and monitoring, and who fixes the workflow when an API changes. If the answer is a fixed package sold before anyone has seen your stack, keep looking. Our comparison of AI automation agencies lists what to check.
What is the smallest project I can start with?+
One focused workflow. It starts in the low four figures and is typically live in one to two weeks, with error handling, retries and monitoring built in. Most teams start there, see it run on their own data, then expand into a full system with AI steps once the first workflow has proved itself.
What happens if the automation does not work?+
We do not call a build done until it runs on your real data inside your systems. Every build is tested in a sandbox first, then shipped with error handling, retries and monitoring. After launch you choose a documented handover or a maintenance retainer, where we watch the monitors and fix breakage when an API or edge case changes.
What does an AI workflow automation agency build first?+
The workflow the audit shows pays for itself fastest. That is usually lead routing, reporting, document handling, support triage or a data sync between two tools your team copies between by hand. AI is added only at the steps that need judgment, like classifying a message or pulling fields out of a messy document.
Is an AI implementation agency different from an AI automation agency?+
Mostly the name. Both should take AI from idea to a system your team uses every day. The hard part is production: IDC data reported by bex.co in September 2026 puts about 88% of enterprise AI proofs of concept as never reaching production. We scope, build, deploy into your systems and maintain, so the work does not stop at a demo.
Who is an AI automation agency not a good fit for?+
Teams with one simple trigger a no-code tool already handles, teams that need a full-time engineer embedded rather than a scoped project, and teams not ready to give access to the systems the automation must touch. In those cases we will say so on the audit call and point you to Forward Deployed Engineers or a DIY setup instead.
Which tools do you build automations with?+
n8n for triggers, webhooks and workflow logic, Claude Code and custom code for logic a trigger cannot handle, and RAG pipelines when answers must come from your own data. We connect into the CRM, database, spreadsheets, email, Slack and private APIs you already run instead of moving you onto a new stack.
Do you work in languages other than English?+
Yes. We deliver engagements in English, French and Arabic, remote-first over video and your existing tools. The audit, build and maintenance steps are the same in every language, and a French version of this page is linked above for teams who prefer to read the scope in French first.