We design and build the agents that do the busywork, so your team spends its hours on the parts that need a human.
Six things, done properly and wired into the tools you already run. No platform to adopt. The work lives where it already happens.
Hand-offs, approvals and follow-ups that currently need someone to remember them. We connect the steps so records move, notifications fire and nothing falls between two inboxes. n8n · Make · Zapier · custom services
Agents that read, decide and act inside your systems: triaging a ticket, drafting the first reply, updating the right field, and knowing when to hand back to a person. Claude · retrieval · tool-use · guardrails
Move and clean data between systems on a schedule you can trust. Checks catch the bad rows before they reach a report, and alerts fire when something upstream changes. Postgres · dbt · warehouse loads
The small app your team keeps asking for: a dashboard, a review queue, an admin panel. Built around the actual process, not a spreadsheet held together with hope. web app · dashboards · admin panels
We read your actual bill and usage, cut the idle spend, right-size what's over-provisioned, and set the alerts so a runaway cost never lands as a month-end surprise. AWS · GCP · Azure · cost & usage audits
You invested in AI and the payback is murky. We measure what your models and agents actually return, set the KPIs that matter instead of vanity metrics, and hand you a plain list of what to fix, cut, or double down on. usage & cost audit · KPI framework · optimization roadmap
Most engagements ship a first working automation within two to three weeks. Order matters here: each step depends on the one before it.
We shadow the real process: the clicks, the copy-paste, the exceptions. Then we write down exactly what happens today, edge cases included.
We build the automation against your real tools and data, in small pieces you can see working, so there are no surprises at the end.
It goes live behind a check, running alongside the manual process until the output matches and your team trusts it.
We monitor it, fix what breaks upstream, and improve it as the process changes. You get the logs; we get the pager.
Two live client builds, written up in full. Neither client is named yet, because we don't have written permission. The mechanics are exactly as built.
Every wholesaler order was raised by hand, one line at a time, before the vans went out. Now the morning's demand is pooled, priced across 4 portals at once, and placed on a single click, with a person still approving the batch.
From one order at a time to one look and one click. Read the build →
Three service lines in one project tool, and no screen that showed which projects were quietly on their fourth revision. We rebuilt the delivery system around approval gates and a dependency graph so rework can't hide.
Every automation built and staged, none switched on until the pilot has run. Read the build →
Vedolya is a small automation studio. We don't sell a platform or a licence. We build the specific system your operation needs, wire it into the tools you already trust, and stay on to run it. Automation is only worth it if it keeps working after we leave the room.
The things people ask before they start. If yours isn't here, just ask.
We build software that does your team's repetitive work: reconciling invoices, triaging support tickets, keeping data in sync, running first-pass reports. It plugs into the tools you already use, so nobody has to learn a new platform. We build it, run it, and you own it.
A freelancer builds a flow and moves on. When it breaks upstream, it becomes your problem. We map the real process first, build it properly, then keep it running: monitoring, fixes, and changes as your process evolves. Zapier is one of our tools, not the whole answer.
You own it. Everything runs in your own accounts and infrastructure, on your keys, and you keep the code. There is no Vedolya platform to stay subscribed to. If you ever want to take it fully in-house, you can.
We start with a fixed-price audit of one process, so you see the plan and the expected time saved before committing to more. Then a fixed-price first build, usually two to three weeks. If it works, most clients move to a monthly retainer where we operate and expand it. Pricing tracks scope, and the audit tells you exactly what you're getting.
It runs in your environment, on your credentials. We don't hold your data on a Vedolya server. Agents get least-privilege access and ask a human before doing anything irreversible.
We watch it. When an upstream tool changes or a step fails, we get the alert and fix it, and you get the logs. That is the point of the retainer: automation is only worth it if it keeps working after launch.
The ones you already run. We commonly build with n8n, Make, Zapier, Postgres, dbt, and the major AI models, on AWS, GCP, or Azure. If your stack is unusual, we work with it rather than around it.
Tell us the process that's eating your week.
Book a 20 minute callNothing to prepare. If you would rather just write, email hello@vedolya.com.
