Vaya-soft · AI automation studio

Grow revenue
without growing payroll.

We design and run AI systems that take over your repetitive operations: lead intake, follow-ups, document processing, reporting. So growing the business no longer means hiring more people to push data around.

30 minutes · we map your 3 best automation opportunities · no obligation

What this looks like in practice
Inbound lead responsenext business day3 min
Invoice & document intake12 h / week30 min / week
Weekly ops reporting5 h of copy-pasteruns itself

Systems shipped for  Vectra (TV Smart) · Spendlex · OnlyFarms.gg

The invisible payroll

You're already paying for this work. Twice.

Somewhere in your company, capable people spend hours copying data between tools, chasing documents, and rebuilding the same report every Monday. You pay for those hours once. Then you pay again when a lead waits a day for a reply, or when an error slips through and only surfaces weeks later. None of that work needs a person anymore.

What we build

Systems that do the work, not demos of it.

Everything below runs inside the tools you already use: your CRM, your inbox, spreadsheets, messengers. There is no new platform for your team to learn.

AI agents

Agents that handle the front line

They qualify inbound leads, answer routine client questions, draft follow-ups, and bring in a human when the conversation actually needs one. Everything they do is logged, and risky steps wait for your approval.

every lead answered in minutes, around the clock
Workflow automation

The end of copy-paste

We connect the tools you already use and automate the handoffs between them: an order becomes an invoice, a form submission lands in the CRM, an email turns into a task. Where a step has to be exact we script it; where it needs judgment we use AI.

10-20 hours a week back per automated process
Knowledge systems

Answers from your own data

A search and Q&A layer over your documents, contracts, tickets, and wikis. Every answer cites its sources, so your team can check it instead of taking it on faith. We've shipped retrieval pipelines like this at 500K+ record scale.

answers stop living in one person's head
Automation audit

Not sure where to start? Start here.

We map your operations, find the processes where automation pays back fastest, and put honest ROI math behind each one. The roadmap is yours whether or not you build any of it with us.

a prioritized plan you could hand to any contractor
Result

Shipped and running in production.

Miras University

The AI rector behind a university's operations

An executive assistant for university leadership. It tracks student and employee statistics, assigns tasks to departments and monitors completion, and turns scattered academic data into answers leadership can act on.

Read the full case study
One systemstudents · staff · tasks · analytics
Figma-to-Code

Figma designs become deployment-ready frontend code

A production pipeline that reads a Figma file's JSON and its rendered pixels together, retrieves the project's own component patterns, and generates frontend code that resolves and renders correctly on the first run.

Read the full case study
~15%misaligned frames, now caught by pixel-diff validation
Race Engineer AI

A voice AI race engineer that answers in under two seconds

A production AI agent that acts as a race engineer during live motorsport sessions. The driver speaks over push-to-talk, an OpenAI agent reads live telemetry through 19 MCP tools, and it answers back in F1-radio style.

Read the full case study
< 2 svoice answer latency · 19 live MCP tools
Vectra · TV Smart

The backend that absorbs a live-TV spike

The distributed backend for an OTT platform serving live TV, VOD and timeshift across the EU. Go runs the latency-critical paths, Redis fronts the hottest data, and MySQL stays shielded from the burst when an event kicks off.

Read the full case study
10k+viewers pressing play in the same minute
OnlyFarms.gg · Content

An automated pipeline for SEO game-wiki articles

Gaming terms go in as a CSV; validated SEO articles come out and publish themselves. Two GPT-4o calls per term, internal links grounded in the live sitemap and checked over HTTP before anything ships.

Read the full case study
20-40 minof writer time per article, automated
OnlyFarms.gg · WoW

An AI assistant grounded in 500K game records

A "chat with your data" assistant over World of Warcraft's structured knowledge base. Two-stage retrieval and per-number validation keep answers grounded in real Wowhead data instead of a confident guess.

Read the full case study
500K+records answered with grounded citations
Indigo

Real-time Upwork job delivery to thousands on Telegram

A Telegram bot that watches Upwork RSS feeds and pushes matching jobs to each user within seconds. Per-user filters, deduplication, and a RabbitMQ pipeline that stays reliable at millions of messages a day.

Read the full case study
Millionsof messages a day, delivered in seconds
Roadmap

The first automation is live by week three.

01
Week 1

Audit

We sit with your team and watch how the work actually gets done. Then we pick the three processes where automation would pay back fastest.

You get: a roadmap with ROI math for each opportunity

02
Weeks 2-3

Pilot

We build one automation end to end and run it inside your real workflow. Before we start, we agree in numbers what success looks like, and you judge the pilot on that metric.

You get: one process running on autopilot

03
Weeks 4-8

Build

We extend the pilot into the full system: more processes, deeper integrations, and approval gates wherever a mistake would be expensive. You see a demo every week, and nothing we build is a black box.

You get: the full system + plain-language documentation

04
Ongoing · optional

Run & improve

We monitor and tune the system, and build new automations as your business changes. Or your team takes over completely; everything is yours and documented either way.

You get: a system that keeps getting better

Risk reversal

If it doesn't work, you don't pay for it.

01

Fixed-price pilot with a success metric

Before we write a line of code, we agree on what "working" means, in numbers. If the pilot doesn't hit that metric, you don't pay for it.

02

You own everything

Code, prompts, infrastructure, documentation: all of it lives in your accounts from day one. We don't run a proprietary platform, so there is nothing for us to hold you hostage with.

03

No lock-in and no forced retainers

Support is optional. If we part ways, everything keeps running and your team has the docs to maintain it. We'd rather earn the next project than trap you into it.

Review

What working with us feels like.

"The pilot paid for itself in the first month. What used to take our ops manager most of Tuesday now happens before she gets her coffee."
[Client name] · [Role, Company]
"We're not a technical team, and that was never a problem. They explained everything in our language and left us documentation we actually use."
[Client name] · [Role, Company]
Questions we always get

The honest answers.

What if the AI makes a mistake in front of our clients?
Anything with real stakes starts behind an approval gate: the system drafts, someone on your team confirms with one click. As trust builds, you decide what gets to run on its own. Everything is logged, so nothing happens silently.
Our data is sensitive. Where does it live?
In your own accounts and infrastructure. We build inside your cloud, and we host in the EU where regulation requires it. Your data is never used to train anyone's models.
We're not a technical company. Will we be able to use this?
That's most of our clients. The systems live inside tools you already use, and you get plain-language documentation plus a handover session. If your team can use email, they can use this.
Our processes are honestly a bit of a mess.
Messy processes are where automation pays back the most, and the audit exists precisely for this. We untangle how the work actually flows before deciding what to automate. Sometimes the biggest win turns out to be simplifying a process rather than automating it as it stands.
What does it cost?
Every engagement starts with the audit, so pricing is based on your actual processes and on savings we can defend with numbers. Pilots are fixed price and scoped to pay for themselves quickly. You'll see the math before you commit to anything.
How fast will we see results?
The first automation goes live in week two or three. If a process can't show measurable results within its first month of running, we'll tell you during the audit, before you've spent any money on it.
Free process audit

Find out what 20 hours a week is worth to your business.

One 30-minute call. We map your three best automation opportunities and put real numbers on each, which is useful even if you never hire us.

We take on a few new builds each quarter so quality doesn't slip, and this form helps us decide who to talk to first. You'll hear back within 24 hours.

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Prefer email? hello@vaya-soft.com