Automate the work
Custom automation that runs your business logic around the clock
One senior engineer directing a fleet of AI agents to design autonomous systems around your process, so your people can focus on the work only humans should do. Built on n8n and custom code, tested against real cases before production.
Free 30-min call · You leave with a workflow roadmap, not a sales deck
Teams we ship for
logos à fournir : clients citables
The new AI software engineering
Coding changed. Engineers stopped being the bottleneck.
The bottleneck moved to orchestration. Claude Code is the brain, MCP plugs into your stack, and one senior engineer reviews every line the agents ship. See how we build, automate and ship on every engagement.
- 01Claude Codethe brain · subagents · MCP
- 02Anthropicmanaged agents · runtime
- 03CursorIDE pair-programming
- 04n8ncron · webhooks · glue
- 05Supabasedata · memory · retrieval
Every system we ship stands on the same three pillars.
Whether the build is a single workflow or a multi-agent system, the engineering underneath does not change: production n8n, agent logic that acts on its own, and execution that never waits for office hours.
n8n, production-grade
Workflows with custom nodes, retries and real error handling, self-hosted or cloud, whichever keeps your credentials where you want them. Built to survive the messy path, not just demo on the happy one.
Autonomous agents
Multi-step logic that executes without manual triggers: the system decides, acts and logs, and asks a human only when it should. Every action leaves a trace you can audit later.
24/7 business logic
Cron, webhooks and queues, so the process runs at 3am the same way it runs at 3pm, and shouts at someone when it does not. Day and night, not just business hours.
Why custom AI automation beats off-the-shelf tools.
Generic automation platforms limit you to templates and task caps. When your processes are not generic, you need workflows built for your logic, your data and your scale.
Off-the-shelf platforms hand you a template and a per-task bill, and the closest template is still the wrong shape. One senior engineer directs a fleet of AI agents, using n8n and custom code, to build the system around your rules and your data, tested against real cases before it touches production.
Four phases, whether it is one workflow or a multi-agent system
The same four phases apply whether the build is a single n8n workflow or a multi-agent system.
Audit
We map the current process end to end, find where time and accuracy leak, and score which steps are worth automating first. Free, and yours to keep.
Build
We design the workflow or agent logic in n8n or custom code, matched to what the process needs instead of a fixed template.
Integration
We connect the automation to your CRM, database and internal tools, and test it against real cases before it touches production.
Support
We monitor the automation after launch, fix edge cases as they show up, and extend it as the process changes.
Where custom automation replaces manual work
These are the recurring places we find hours of manual work hiding, across the teams we build for.
E-commerce operations. Order routing, inventory sync and return processing wired between storefront and fulfilment, so nobody retypes an order and stock counts never go stale.
Agency delivery. Client onboarding, reporting and status updates assembled from the tools you already run, without a project manager copying data between four of them by hand.
SaaS onboarding. Account provisioning, welcome sequences and usage alerts fired by webhook the moment a signup or upgrade lands, not when someone happens to check the dashboard.
Internal reporting. Numbers pulled from every system into one dashboard or document on a schedule, with no export, no re-import and no afternoon lost rebuilding the same spreadsheet.
Data entry elimination. Form parsing and API syncs replacing the person who retypes the same information into a second system, with validation on the way in so bad data stops early.
Support and success. Ticket routing, escalation logic and follow-ups handled by an agent that reads the customer's history first, and hands over to a human when the stakes call for one.
What we build, and what it changes.
We map your value chain, find the choke points, and replace them with automation built to hold up under real load.
| Focus area | What we build | Outcome |
|---|---|---|
| n8n expertise | Custom nodes, error handling and scalable execution | Production-grade workflows |
| Autonomous agents | Multi-step logic that runs without manual triggers | Business logic on autopilot |
| Bottleneck elimination | Process mapping and targeted automation | Measurable ROI, fewer errors |
Custom automation vs the alternatives.
Three routes teams take when the manual work piles up. Each one breaks somewhere, ours included: here is where.
| Approach | What you get | Where it breaks down |
|---|---|---|
| No-code templates | Live the same week for one simple, single-tool task | Cracks as soon as the logic branches, a conditional step appears or a third system joins the flow |
| Hiring in-house | An owner on payroll for automation and its upkeep | Months to recruit, expensive to keep senior enough to build past scripts, and one resignation away from unowned automations |
| Custom automation (our approach) | A system shaped by your logic, wired into the stack you already run, tested before launch | A higher upfront cost than a template, and a scoping call before we can size it honestly |
Real results, measured on live systems.
View all case studiesEvery number below was measured on the live system after we shipped it, not estimated from a template.
Built for complexity, built to scale.
Your business logic is not simple, so the workflows we ship are not simple either. They are engineered for the messy version of the process, the one with exceptions.
One workflow instead of dozens of manual steps
Conditional branches, retries, webhooks and deep integrations with your existing stack are the default, not an add-on. That is what lets a single n8n system absorb dozens of manual steps, and keep running when one of them fails instead of silently dropping the job.
Ready to automate?
Start with the free 30-minute audit: we map your biggest bottlenecks and show exactly where n8n and autonomous agents return the most hours. Pricing is scoped after the audit, sized to what your process actually needs, and the roadmap is yours to keep either way.
The stack behind every automation we ship
We do not reinvent the stack for every project. Every engagement runs on the same proven set of tools, swapped only where your systems require it.
Claude Code
The reasoning model behind agent decisions and tool calls
Anthropic
Managed agent runtime for long-running, autonomous tasks
MCP
The protocol that connects agents to your APIs and tools
Cursor
IDE pair-programming where the engineer reviews every diff
n8n
Workflow orchestration for cron jobs, webhooks and handoffs
Supabase
The data layer for agent memory, logs and private retrieval
Vercel
Deployment and hosting for agent-facing apps and dashboards
GitHub
Version control and review for every agent we ship
Everything runs in your accounts and your repositories. Self-hosted where data control matters. [Engagements précis à valider]
Get your questions answered
Get answers to common questions about our automation process, pricing, and results.
We map your current workflow, identify the highest-friction manual steps, and show which processes are worth automating first. You leave with a roadmap, not a sales deck.
See what your team
can hand to AI
A free 30-minute call. We map one workflow together and you leave with a plan you can use, with or without us. Meeting us at the AI Summit Barcelona on September 22? Grab your slot here.
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