Unbreakable workflows. Zero manual touch.
The multi-step work that quietly eats your team's week runs itself - correctly, every time, with no one in the loop.
The capability, defined.
This is the foundation of the ladder, and it is not about saving a few hours a week. It is about building unbreakable pipes between the tools you already use - a webhook fires, an LLM reads and decides, an API executes - so the repetitive, multi-step work that quietly eats your team's week simply happens on its own, correctly, every time.
Not Zapier. Not a Make scenario. Not a no-code toy that snaps the first time an input looks weird. It's engineered, event-driven workflows - deterministic where the path is known, an LLM where judgment is needed - that live in your repo and actually hold up in production.
What this costs you today.
The work is repeatable, the steps are clear, and a person is still doing all of it by hand - because the no-code tool couldn't carry the real logic.
The anatomy of the system.
A workflow is only as good as what happens when something goes wrong at 2am. We build five layers, and four of them exist purely so the system never breaks silently.
Engineered, not prompted.
We start with the simplest thing that works and add LLM reasoning only where the path has to be decided at runtime - built on Claude Code, the Claude Agent SDK, n8n, Railway, Vercel, Cloudflare, and Supabase.
What this looks like in the wild.
The reliability that ships.
How every major webhook provider delivers - which is why idempotency, not optimism, is the load-bearing wall of any workflow we ship.
The production-standard retry budget with exponential backoff before an event hits the dead-letter queue - so transient failures self-heal instead of dropping work.
The baseline an event-driven workflow runs at - no shift, no PTO, no Monday-morning backlog - versus the working hours a manual process is capped at.
↳ Industry benchmarks and engineering standards, not Anfloy client metrics - we report your real numbers once you're live.
Named tools, and why.
The model is fungible - the system is the moat. Here's what we build it on, and the reason each earns its place.
Why not just use Zapier?
Zapier and Make are excellent for trigger-action plumbing. They are not built for reasoning, real personalization, or anything you actually own. Once the logic gets real, the no-code tax gets expensive.
The honest fit check.
B2B teams drowning in repeatable, multi-step busywork - lead ops, support, finance, RevOps - who've outgrown Zapier's ceiling and want workflows they own outright, running on their own infrastructure.
If your process changes shape every week and has no stable inputs, or you genuinely just need three simple trigger-action zaps, a no-code tool is the cheaper honest answer - we'll tell you so rather than over-engineer it.
The honest answers.
How is this different from Zapier or Make?
Those are no-code connectors built on static if/then rules - excellent for simple plumbing, brittle the moment a workflow needs judgment. We engineer custom event-driven workflows with real LLM reasoning at the decision points, idempotency and retries so they don't break silently, and reach into any API - not just pre-built connectors. And the code lives in your repo, not trapped in someone's UI behind a per-task fee that scales with your volume.
Do we own it, or are we renting from you?
You own it, completely. The workflow code ships into your repository and runs on your accounts, your keys, your infrastructure. Built once, yours forever - it keeps running with or without us, there's no Anfloy platform to be locked into, and no per-task tax. If you ever want to bring it fully in-house, the whole thing is already there, documented and yours.
What happens when it breaks?
It's built so a break is loud, not silent - which is the whole point. Every run has retries with exponential backoff and jitter, a dead-letter queue for events that keep failing, and alerting that pages a human when something's actually wrong. You get full logs and traces of what fired and why, so when a downstream API has an outage the work waits and self-heals instead of vanishing. We can also operate it for you, or hand you the runbook.
How long does a workflow take to ship?
Most single workflows go live in 1-5 days. We scope tightly, build on a stack we already run in production, and deploy to infrastructure you own - so you're not waiting on a quarter-long project to stop doing the busywork. More complex multi-system orchestrations take longer, but we ship in working increments, not one big-bang launch at the end.
Does it run on our infrastructure?
Yes. We deploy to your accounts - typically n8n on Railway or your own cloud, with secrets in your vault and the code in your repo. Nothing routes through an Anfloy server, your data stays in your perimeter, and for sensitive workloads we self-host the whole thing so it never leaves your network. You hold the keys from day one.
What can actually be automated - and what shouldn't be?
Anything repeatable with clear inputs that a person is doing by hand: lead routing, invoice chasing, support triage, candidate screening, reporting, onboarding, data sync. If it has a defined trigger and a defined outcome, it's a candidate. What shouldn't be automated is work that needs human relationship, genuine novel judgment every time, or has no stable shape - and we'll tell you honestly when a workflow is the wrong tool rather than sell you a brittle one.