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Workflow Automation Agency
Anyone can wire two apps together. The hard part is a workflow that keeps running when the API times out, the data arrives malformed, and the volume triples. We map your process, ship the highest-friction step first on n8n or custom code, and have it live in 1 to 2 weeks with retries and failure alerts from the first commit. After launch, you get a runbook or we stay on and watch the monitors.
Free 30-min call. No pitch, no slides.
A focused single-workflow build starts in the low four figures and ships in one to two weeks.
Built for a sample of 40+ named companies. See the client list.
Quick answer
AY Automate is a workflow automation agency that maps business processes and builds production workflows on n8n and custom code, with error handling, monitoring, and ongoing maintenance. Typical timeline: first workflow live in 1 to 2 weeks; multi-step workflow systems typically 4 to 8 weeks.
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What it is
A workflow automation agency turns a manual business process into a system that runs itself: lead handoffs, approval chains, document processing, data syncs between the CRM, billing, spreadsheets, and Slack. The goal is not to remove people from the process. It is to remove the mechanical steps so people only handle the judgment calls.
The difference between a connected app and a production workflow is everything around the happy path: retries, idempotency, dead-letter queues, alerting, and a documented answer to "what happens when this step fails at 2am". That surrounding engineering is most of the work and most of the value, and it is exactly what quick integration jobs skip.
We are tool-honest about how we build. n8n covers most workflows fastest and keeps them editable by your team. When a workflow needs more control, tighter performance, or logic n8n handles badly, we write custom TypeScript or Python. And when a process is too unstable to automate yet, we say so and tell you what to fix first.
Most agencies in this category are platform resellers first: they sell you a Zapier or Make subscription and call the setup the service. We are engineers first. The workflow itself is the deliverable, not a license fee, and it is built to survive the API change, the traffic spike, and the malformed record that a template-based setup was never tested against.
Fit check
Teams running processes across five-plus tools
When one record has to move through CRM, email, sheets, billing, and Slack by hand, the copy-paste tax is the clearest automation ROI there is.
Companies with workflows that already broke once
A Zapier or n8n flow that silently failed and cost you data or a customer. We rebuild it with the error handling it should have had from day one.
Ops leads who need the process out of one person's head
We map the workflow, automate the mechanical steps, and document the rest, so the process survives a resignation or a vacation.
How it works
Same discipline every time: map the real process, automate the single highest-friction step first, wrap it in monitoring, then expand. No big-bang rollout that automates everything and breaks everywhere.
We walk the workflow end to end with the people who run it, and score each step by frequency, friction, and rule-clarity. Judgment calls stay human.
DeliverablePrioritized workflow map with effort estimates
The highest-ROI step ships first, with retries, idempotency, and failure alerts from the first commit, not as a later hardening pass.
DeliverableOne production workflow with monitoring
We feed the workflow real historical data, find where it breaks, and build explicit handling for malformed input, rate limits, and downstream outages.
DeliverableDocumented failure modes and recovery paths
Adjacent steps get automated in ROI order, reusing the error handling and monitoring patterns from the first build.
DeliverableWorkflow system covering the full process
Your team gets a runbook and a working session, or we keep watching the monitors and handling API changes on a retainer.
DeliverableRunbook, alerting, and a maintenance plan
Typical timeline
First workflow live in 1-2 weeks; multi-step workflow systems typically 4-8 weeks
Stack we build with
n8n · Claude (API) · Supabase · Custom TypeScript / Python · PostHog
Use cases
Inbound leads get enriched, scored, and assigned to the right owner in minutes, with every touch logged in the CRM automatically.
Requests move through the right approvers with reminders and escalation rules, instead of dying in someone's inbox.
Invoices, contracts, and compliance paperwork get extracted, validated, and filed with an audit trail for every document.
CRM, billing, spreadsheets, and Slack stay consistent without a human re-keying the same record four times.
Weekly numbers assemble themselves from your tools instead of from someone's Sunday evening.
Onboarding steps, renewal reminders, and usage alerts fire from real product and billing events, on time, every time.
Free 30-min call. No pitch, no slides.
A 30-minute call: we map your process, identify the steps costing the most hours, and tell you honestly which ones are worth automating and which are not.
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
A focused single-workflow build starts in the low four figures and ships in one to two weeks. Multi-step systems that touch several tools typically run four to eight weeks. We scope after the audit call because the honest answer depends on how many systems the workflow touches and how messy the data is, not on a rate card.
For a simple two-app sync, you probably should, and we will say so on the call. The gap shows up on workflows that matter: a freelancer builds the happy path, while we build the happy path plus retries, monitoring, documentation, and someone accountable when an API changes in month three.
Both, chosen per workflow. n8n is the default because it is fast, reliable, and your team can read the flows. We drop to custom TypeScript or Python when a workflow needs performance, complex branching, or logic that fights the visual editor.
Yes, and we design for that. Handover includes a runbook, alert setup, and a working session with your team. If you would rather not own it, we run a maintenance retainer and watch the monitors for you.
Anything that changes weekly, runs rarely, or requires judgment without a clean review path stays manual. Part of the audit is telling you which steps fail that test. Automating the wrong step costs more than not automating at all.
n8n by default, because it is self-hostable, your team can read the flows, and it does not meter you by task the way Zapier and Make do at volume. We will build on Zapier or Make instead when a client already runs one and switching costs more than it saves. The platform is a means to a reliable workflow, not the pitch.
Related but different. RPA usually means bots clicking through a legacy UI because there is no API. Most of what we build talks to APIs directly, which is faster and more stable. When a system genuinely has no API, we will say so and scope UI-level automation honestly rather than pretend every process fits the API-first model.
Ask what happens when the workflow fails at 2am, not just how fast they can wire two apps together. A workflow automation agency worth hiring can show you retries, idempotency, alerting, and a real answer for what breaks first at higher volume, plus which platform they would not recommend for your case. If every answer is "yes we can build that," that is the gap that costs you later.
A workflow automation agency turns a manual business process into software that runs on its own, such as lead handoffs, approval chains, document processing and data syncs between your CRM, billing, spreadsheets and Slack. The work includes the parts around the happy path: retries, idempotency, alerting and a documented answer for what happens when a step fails.
A single workflow typically goes live in one to two weeks. A multi-step system covering a full process usually takes four to eight weeks. We ship the highest-value step first, then harden it against real historical data before expanding, so you have something working in production early instead of waiting for one big rollout.
Time with the people who run the process today, and access to the tools the workflow touches. During process mapping we walk the workflow end to end with them and score each step by frequency, friction and how clear the rules are. Steps that need judgment stay with your team.
Yes. A workflow that already failed silently and cost you data or a customer is a common starting point. We review what exists, keep what works, and rebuild the fragile parts with the error handling, deduplication and alerts they should have had. If the process itself is unstable, we tell you to fix that first.
Yes, where the task is classification or extraction rather than a final decision. We use the Claude API for steps like reading invoices, sorting requests or enriching records. Output that falls below a confidence threshold goes to a person for review. Judgment calls with real consequences stay human.
Teams whose process changes every week, teams that want the cheapest one-off integration with no ownership after delivery, and teams automating something that runs a few times a month and takes minutes by hand. In each case the build cost will not pay back. A checklist or a stable process comes first.