Loading service...
AI automation consulting
AI automation consulting from the people who also build it and keep it running
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.
- Ranked by payback
- First workflow in production
- Monitoring and maintenance included
Trusted by teams at
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 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.
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 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.
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 an AI automation consulting engagement runs
One pick-and-prove cycle. The first workflow 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
Scoring and ranking
Week 1 to 2Each candidate is scored on frequency, integration effort, cost of error and expected hours saved.
DeliverableRanked opportunity list and a build versus buy call
03
First workflow build
Week 2 to 4One workflow end to end, sandbox or sample data first, with a person checking the important decisions.
DeliverableWorking workflow with error handling and retries
04
Run and harden
Week 4 to 6We run it on real examples, watch how it fails, and add monitoring and alerts.
DeliverableLive workflow, runbook and alerting
05
Handoff or maintenance
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
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.
What you have after 30 days
A concrete result at the end of the first month, not a promise of one later.
Week 1
Workflow inventory
Every candidate workflow written down with its owner, systems and current effort.
Week 2
Ranked plan
A prioritized list with a clear first pick and the reasoning behind the order.
Week 3 to 4
First workflow running
Built and tested on real 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 and exclusions
In scope
- · Workflow interviews and system mapping with the people who do the work
- · A ranked opportunity list with hours, risk and integration effort per item
- · Build versus buy recommendation per workflow
- · The first workflow built, tested on real examples and monitored
- · A handoff your team can run, or a maintenance plan with us
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 from comparable work
Achieved results only. Clients that have not agreed to be named are described instead.
A MedTech company
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.
A finance team at a food-industry company
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.
An advertising agency with a three-person creative team
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.
How this is priced
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.
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 system
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.
Embedded engineer
From $60,000/year
A dedicated engineer building and maintaining the work inside your team, instead of a scoped project.
Book a free audit call
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
Opportunity Map
Implementation Path
Fast Follow-Up
“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
Video Call
Phone Call
In-Person
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.
30min
CalGoogle Meet
Usually responds in 1 hour
No commitment required
Recommended services
AI Automation Agency
The flagship page: audit, build, monitor and maintain automations that run every day.
Business Process Automation Consulting
Map, redesign and automate a process end to end.
AI Implementation Services
Take a chosen AI use case into production and keep it running.
AI Strategy and Fractional CAIO
Senior AI leadership on a fractional basis for roadmap and vendor decisions.
FAQ
AI automation consulting questions
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.
Do you recommend n8n, code, or another tool?+
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.
What does it cost?+
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.
Who owns what you build?+
You do. Workflows, code and documentation live in your accounts and repositories, so you are never locked in to us for maintenance.
What happens after the first workflow ships?+
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.