AI automation consulting
AI automation consulting that ends with an AI system in production, not a deck
Most consulting ends with a slide deck and a vendor list. We set up in hours, put your first AI system into daily use inside the first month, and keep it running. The engineers who advise you write the code and answer the alert when something breaks. From $3K a month. Cancel anytime.
Free 30-min call. No pitch, no slides.
Our partnership starts at $3K a month.
Built for 60+ companies. See the client list.
Free audit: your automation gaps and AI search visibility
Quick answer
AY Automate provides AI automation consulting: workflow mapping, build-versus-buy decisions, a first AI system in production with monitoring, and ongoing maintenance, delivered by senior engineers on a monthly partnership from $3K a month. Typical timeline: set up in hours, first system in production inside the first month. Our partnership starts at $3K a month.
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What it is
What AI automation consulting covers here
The job is deciding which workflows deserve automation and which do not. A workflow is worth automating when it repeats often, touches several systems, and has a clear definition of done. We weigh your candidates on those three things, plus the cost of a wrong answer, and tell you which one to build first.
Then we build it. Consulting that never touches production tends to recommend architectures nobody has to operate. Because we run what we build, the advice accounts for retries, credentials, monitoring and who gets paged.
The usual alternatives stop earlier. A roadmap engagement hands you a report and a separate build vendor. An hourly freelancer stops when the billing stops. Here the engineers who advise you write the code, the monthly partnership covers upkeep, and you cancel anytime. If you cancel, you keep the build.
If the honest answer is that a spreadsheet macro or an existing feature in your tooling solves it, we say so and stop there. We fit companies serious about putting AI systems into daily operations. For a single small task, a freelancer fits better.
Fit check
Is this the right fit?
Where this wins
Teams that know they lose hours to manual work but not where
We interview the people doing the work, trace the handoffs between systems, and pick the first workflow to build, with hours and risk written down.
Companies burned by an AI pilot that never shipped
We audit what was built, keep what works, and turn the pilot into something with monitoring and an owner.
Leaders choosing between build, buy and no-code
A written recommendation per workflow, with the maintenance cost of each option stated, not just the build cost.
When NOT to use this
- You want a strategy deck with no build attached. A fractional AI leader fits better, see the strategy page.
- The process is not defined yet. Automating an undefined process locks in the confusion, so we start by mapping it.
- You already know the workflow and only need it built. Skip consulting and book a build audit directly.
How it works
How an AI automation consulting engagement runs
One pick-and-prove cycle. The first system earns the right to expand, so we do not plan ten before shipping one.
- 01
Discovery interviews
Week 1We talk to the people who do the work and map the systems, access and handoffs each workflow touches.
DeliverableWorkflow inventory with owners and systems
- 02
Pick the first workflow
Week 1Each candidate is weighed on frequency, integration effort, cost of error and expected hours saved.
DeliverableA clear first pick and a build, buy or skip call
- 03
First system build
Weeks 2 to 4One workflow end to end, sample data first, with a person checking the important decisions.
DeliverableWorking system with error handling and retries
- 04
Run and harden
By day 30We run it on your own cases, watch how it fails, and add monitoring and alerts.
DeliverableSystem in daily use, runbook and alerting
- 05
Next workflow or handoff
The engineer on your account picks the next workflow, or your team takes this one over with documentation.
DeliverableNext build, or a handoff pack
Typical timeline
Set up in hours, first system in production inside the first month
Stack we build with
n8n · Claude · OpenAI · Python · TypeScript · PostgreSQL · Supabase
Use cases
Workflows we usually find first
Document intake and matching
Invoices, delivery notes and forms read, matched and routed, with exceptions sent to a person.
Sales research and CRM upkeep
Pre-call research, CRM updates and lead scoring done before the rep opens the account.
Reporting and status updates
Numbers pulled from several systems into one weekly report without anyone copying cells.
First 30 days
What you have after 30 days
A concrete result at the end of the first month, not a promise of one later.
Day 1
Set up
Access, accounts and the engineer on your account, set up in hours.
Week 1
Workflow inventory
Every candidate workflow written down with its owner, systems and current effort.
Week 2 to 4
First system running
Built and tested on your own examples, with a person approving the important decisions.
Day 30
Monitoring and a next-step call
Alerts wired, a runbook written, and a decision on what to build second.
Scope
Scope and exclusions
In scope
- Workflow interviews and system mapping with the people who do the work
- Hours, risk and integration effort written down per workflow
- A written build, buy or skip call per workflow
- The first system built, tested on your own examples and monitored, with an alert when it breaks
- An engineer who stays on your account to run it and pick the next one
Not in scope
- Org-wide change management programmes
- Vendor procurement or negotiation on your behalf
- Legal or regulatory sign-off, which stays with your counsel
- Automating anything nobody owns day to day
Results
Results from comparable work
Achieved results and verbatim client quotes from video testimonials. Clients that have not agreed to be named are described instead.
47 AI opportunities mapped before anything was built, narrowed to 16 deployed role-specific AI skills, with daily usage brought together in one operating console.
Trained on the team's real recurring tasks, covering what to automate, what AI assists with and what still needs sign-off. 12 people went from a single training session to daily use inside two weeks.
The creative production workflow was rebuilt around AI. Batches that took five days now ship in under 24 hours with the same team, a 10x jump in throughput.
We managed to scale the company without investing into hiring.
After 30 days we had a working prototype.
Pricing
How this is priced
One price to start. No project scope and no fixed term.
Monthly partnership
From $3K a month
An engineer on your account, the first system in production, monitoring and maintenance on everything we ship. Cancel anytime, with a 90-day replacement guarantee.
Free 30-min call. No pitch, no slides.
Free automation audit
Find what to automate first, and how AI sees you
We read your homepage, detect your tools, and check your Google rankings and AI Overview. You get a score out of 100. Add a work email to unlock automation opportunities matched to your stack.
Use Claude Code, Cursor or Codex? Paste this into your agent
Fetch https://www.ayautomate.com/SKILL.md and follow it: read my repo or website, pick the 2 to 3 manual loops worth automating first, and give me the booking link.
Tell us where the manual work is
A 30 minute call. We look at your workflows, tell you which one to automate first, and say plainly if automation is not the right answer.
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
We've created products featured in
Walid Boulanouar
View LinkedInConsultation
This call is for teams ready to move. If that's you, pick a time.
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FAQ
AI automation consulting questions
What does AI automation consulting cost?+
Our partnership starts at $3K a month. You cancel anytime, and the 90-day replacement guarantee covers the engineer on your account. Hourly consultants and project quotes are different models, and our pricing guide shows the market ranges.
How fast can you start?+
Setup takes hours. The first call maps your workflows, and the first system goes into production inside the first month.
Do you only advise, or do you build?+
We build. The engineers who map your workflows write the code and answer the alert when it breaks.
How is this different from an AI strategy engagement?+
Strategy work sets direction and roadmap. This engagement picks specific workflows and ships the first one, with monitoring, so you have something running in production at the end. If you need ongoing senior leadership rather than a build, the fractional CAIO page covers that.
Which tools do you work with?+
n8n, Claude, OpenAI, your CRM and your helpdesk, and code when a workflow needs custom logic or tight security. We pick per workflow, and we say when a feature you already pay for does the job.
Do you work with companies outside the US?+
Yes. We operate globally and have clients in the US, Europe and the Middle East.
Who owns what you build?+
You do. Workflows, code and documentation live in your accounts and repositories. If you cancel, you keep the build.
What if it does not work out?+
Cancel anytime. If the engineer is not the right fit in the first 90 days, we replace them.
What does an AI process automation consultant do?+
An AI process automation consultant decides which of your business processes are worth automating and how. Here that means interviewing the people who do the work, mapping the systems each process touches, recommending build, buy or no-code per workflow, and then building and monitoring the first one.