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AI Automation Agency
Most automation dies two weeks after the demo. We design, build, and maintain automation systems around one rule: if it cannot survive real data, real volume, and real failure, it does not ship. Strategy, n8n build, AI agents, and post-launch maintenance under one roof.
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An AI automation agency replaces repetitive manual work with systems that run on their own: lead routing, reporting, document handling, support triage, data syncs between the tools you already use. The AI part matters where judgment is involved, like classifying a message, extracting data from a messy document, or drafting a reply for human review.
The difference between a script and an automation system is everything around the happy path: error handling, retries, monitoring, rate limits, and a clear answer to "what happens when the API is down". That surrounding engineering is most of our work, and it is the reason our automations are still running months after launch.
We are tool-honest: n8n where it is the fastest reliable path, custom code where the workflow needs more control, and no AI at all where a plain rules-based flow does the job cheaper.
Ops teams drowning in glue work
Copy-pasting between CRM, sheets, email, and Slack. This is the highest-ROI automation there is, and usually the first thing we ship.
SaaS teams automating their own product ops
Onboarding sequences, usage alerts, billing edge cases, support triage. Automation that touches your customers has to be reliable, which is our specialty.
Companies with one person who knows the process
When a workflow lives in someone's head, we map it, automate the mechanical parts, and leave the judgment calls with the human.
Every engagement follows the same discipline: map the real process first, automate the highest-friction step, wrap it in monitoring, then expand. No big-bang rollouts.
Automation audit
We map your current workflow end to end and score each step by frequency, friction, and rule-clarity. Fuzzy judgment calls stay human.
DeliverablePrioritized automation map with effort estimates
First workflow
The single highest-ROI step gets automated first, with error handling, retries, and idempotency from day one.
DeliverableOne production workflow with monitoring
AI layer
Where the workflow needs judgment, we add AI with guardrails: output checks, confidence thresholds, and human-review queues for low-confidence cases.
DeliverableAI steps with eval set and fallback paths
Expansion
Adjacent steps get automated in order of ROI, reusing the patterns and infrastructure from the first build.
DeliverableAutomation system covering the full process
Handover or retainer
Your team gets documentation and a working session, or we keep monitoring and maintaining the system on a retainer.
DeliverableRunbook, alerts, and a maintenance plan
Typical timeline
First workflow live in 1-2 weeks; full automation systems typically 4-8 weeks
Stack we build with
n8n · Claude (API) · Supabase · Custom TypeScript / Python · PostHog
Lead capture and routing
Enrich, score, and route inbound leads to the right owner in minutes instead of days, with every touch logged in your CRM.
Document and compliance workflows
Extract, validate, and file the paperwork that used to eat afternoons, with an audit trail for every document.
Support triage
Classify, prioritize, and draft responses for review. The team handles the hard cases; the queue stops growing.
Reporting pipelines
The Monday-morning numbers assemble themselves from your tools instead of from someone's weekend.
Marketing operations
Campaign data syncs, content publishing pipelines, and personalization feeds that run without a human pressing buttons.
Internal tool glue
The unglamorous syncs between CRM, billing, spreadsheets, and Slack that quietly cost hours every week.
A 30-minute call: we map your workflow, identify the highest-friction manual steps, 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 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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FAQ
Focused single-workflow builds start in the low four figures and ship in one to two weeks. Full automation systems with AI steps, monitoring, and integrations typically run four to eight weeks and are scoped after the audit call, because the honest answer depends on how many systems the workflow touches.
A freelancer builds the happy path. We build the happy path plus error handling, retries, monitoring, and documentation, and we stay accountable for the system after launch. That difference is invisible in the demo and decisive in month three.
No. AI adds cost and variance, so it only goes where judgment is involved: classification, extraction from messy input, or drafting for human review. Deterministic steps stay deterministic.
Yes. We connect the CRM, database, spreadsheets, email, Slack, and private APIs you already run rather than forcing a new stack. Most builds are integration-heavy by design.
Either a clean handover with documentation and a working session for your team, or a maintenance retainer where we watch the monitors, handle API changes, and extend the system as your process evolves.