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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, automate the highest-friction steps on n8n or custom code, and stay accountable after launch.
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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.
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.
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.
Process mapping
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
First workflow
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
Edge-case hardening
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
Expansion
Adjacent steps get automated in ROI order, reusing the error handling and monitoring patterns from the first build.
DeliverableWorkflow system covering the full process
Handover or retainer
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
Lead routing and enrichment
Inbound leads get enriched, scored, and assigned to the right owner in minutes, with every touch logged in the CRM automatically.
Approval and escalation chains
Requests move through the right approvers with reminders and escalation rules, instead of dying in someone's inbox.
Document processing
Invoices, contracts, and compliance paperwork get extracted, validated, and filed with an audit trail for every document.
Cross-tool data syncs
CRM, billing, spreadsheets, and Slack stay consistent without a human re-keying the same record four times.
Reporting pipelines
Weekly numbers assemble themselves from your tools instead of from someone's Sunday evening.
Customer lifecycle triggers
Onboarding steps, renewal reminders, and usage alerts fire from real product and billing events, on time, every time.
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
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Walid Boulanouar
View LinkedInIf you're serious about optimizing your operations or scaling smarter, book your spot now. Otherwise please don't waste your time and our time.
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Custom-coded workflows when n8n is not the right fit.
Automation Maintenance
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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.