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AI automation consulting
Most consulting ends with a slide deck and a vendor list. Ours ends with one workflow running in production, monitored, with a ranked list of what to automate next. The same senior engineers who advise on the plan write the code and answer the alert when something breaks.
Free 30-min call. No pitch, no slides.
A single focused workflow starts in the low four figures.
Built for a sample of 40+ named companies. See the client list.
Quick answer
AY Automate provides AI automation consulting: workflow opportunity mapping, build-versus-buy decisions, a first production workflow with monitoring, and ongoing maintenance, delivered by senior engineers. Typical timeline: two weeks to a ranked plan, four to six weeks to the first workflow in production. A single focused workflow starts in the low four figures.
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What it is
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 score 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.
If the honest answer is that a spreadsheet macro or an existing feature in your tooling solves it, we say so and stop there.
Fit check
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 produce a ranked list with hours and risk attached.
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.
How it works
One pick-and-prove cycle. The first workflow earns the right to expand, so we do not plan ten before shipping one.
We talk to the people who do the work and map the systems, access and handoffs each workflow touches.
DeliverableWorkflow inventory with owners and systems
Each candidate is scored on frequency, integration effort, cost of error and expected hours saved.
DeliverableRanked opportunity list and a build versus buy call
One workflow end to end, sandbox or sample data first, with a person checking the important decisions.
DeliverableWorking workflow with error handling and retries
We run it on real examples, watch how it fails, and add monitoring and alerts.
DeliverableLive workflow, runbook and alerting
Your team takes it over with documentation, or we keep monitoring and fixing it under a maintenance plan.
DeliverableHandoff pack or maintenance agreement
Typical timeline
Two weeks to a ranked plan, four to six weeks to the first workflow in production
Stack we build with
n8n · Claude · OpenAI · Python · TypeScript · PostgreSQL · Supabase
Use cases
Invoices, delivery notes and forms read, matched and routed, with exceptions sent to a person.
Pre-call research, CRM updates and lead scoring done before the rep opens the account.
Numbers pulled from several systems into one weekly report without anyone copying cells.
First 30 days
A concrete result at the end of the first month, not a promise of one later.
Week 1
Every candidate workflow written down with its owner, systems and current effort.
Week 2
A prioritized list with a clear first pick and the reasoning behind the order.
Week 3 to 4
Built and tested on real examples, with a person approving the important decisions.
Day 30
Alerts wired, a runbook written, and a decision on what to build second.
Scope
Results
Achieved results only. 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.
Pricing
We do not sell fixed packages sight unseen. The number depends on how many systems the work touches, and the audit call tells you that number before you commit to anything.
Low four figures
One focused workflow live in one to two weeks, with error handling, retries and monitoring built in from day one.
Scoped after an audit call
AI steps, monitoring and integrations across several systems, typically four to eight weeks. No template price, because scope drives the cost.
From $60,000/year
A dedicated engineer building and maintaining the work inside your team, instead of a scoped project.
Free 30-min call. No pitch, no slides.
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.
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 LinkedInThis call is for teams ready to move. If that's you, pick a time.
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FAQ
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.
Whichever fits the workflow and your team. n8n suits many cross-system workflows and we build on it often, see our n8n agency page. When a workflow needs custom logic or tight security, we write it in code. The recommendation states the maintenance cost of each option.
A single focused workflow starts in the low four figures. Full systems across several tools are scoped after an audit call, because the number depends on how many systems are involved. The first call is free.
You do. Workflows, code and documentation live in your accounts and repositories, so you are never locked in to us for maintenance.
You choose. Your team runs it from our handoff pack, we maintain it under a support plan, or we build the next workflow on the ranked list.