Start with one process ↓
AI Automation Studio

AI automation engineering for growing businesses

We find one repetitive, manual process in your business and turn it into a working AI-powered automation — usually in one to two weeks, starting with a fixed-price pilot.

Production Automations

Two different automations. Both live right now.

Not slideware — pick either one below and watch a real AI call run end to end in the next few seconds.

01

AI Lead Qualification ● LIVE

The problem

Interested visitors often leave before a business can respond. This automation qualifies intent in real time and alerts the owner when human follow-up matters.

The automation architecture

Visitor message Claude + knowledge base Intent detection Lead capture card Instant owner alert

Here, the "CRM" is a Telegram alert to the owner's phone. In a real engagement, this step routes into whatever you use — CRM, inbox, or spreadsheet.

View architecture reference on GitHub →

Try it yourself, right now

Click the chat bubble bottom-right and ask something like "how much does a pilot cost?" — you'll see the same detection and hand-off logic run live.

💬 Try the widget →

What's actually measurable, right now

~3 sec
Typical reply timemeasured on this live system
24/7
Always-on coverageno human watching the chat
~1 week
Spec to productionfor this exact pipeline

These are facts about this demo system, not promised results for your business — every engagement gets scoped and measured on its own.

02

Intelligent Document Processing ● LIVE

The problem

Invoices and intake forms still get typed into spreadsheets by hand at small businesses. It's slow, and a typo in a total often isn't caught until reconciliation costs money.

The automation architecture

Document Claude (vision extraction) Structured JSON Rule-based validation Approve → notify

Validation here is plain code, not another AI guess.
It re-checks that line items sum to the subtotal and the totals add up. In a real engagement, an approved record writes into your accounting software or CRM — the same hook used for notifications above, just pointed elsewhere.

View architecture reference on GitHub →

Try it yourself, right now

Pick a sample invoice below — Claude reads it and returns structured JSON in real time, then validates the numbers before you approve it.

What's actually measurable, right now

~5 sec
Typical extraction timemeasured on this live system
Every total
Code-verifiedre-checked deterministically, never just trusted
1 click
Approve → notifysame hook as the leads above

These are facts about this demo, not promised results for your business. Only two fixed samples run here, on purpose — real engagements are scoped for your actual documents and volume.

How it works

A simple, low-risk way to bring AI into your workflow without a big upfront commitment.

1

Scope one process

We map a single process with a clear input and output — for example, "a request comes in and needs to be triaged and answered."

2

Ship a working pilot

We build and deploy a real, working automation on that one process — fixed price, usually live within one to two weeks. Pilots typically start at $1,500, final price set after a short scoping call.

3

Scale what proves out

Once the pilot is proven useful, we extend it to more cases and hand it off, or keep supporting it as you grow.

What we build

A few examples of the kind of processes that make a good first automation.

Lead & inbox triage

Incoming messages and requests are read, classified, and routed or drafted automatically.

Document processing

Extract structured data from contracts, invoices, or forms and push it wherever it needs to go. See it live above →

Meeting-to-action pipelines

Turn call notes or transcripts into summaries, follow-ups, and tasks in your existing tools.

Custom integrations

Connect your CRM, spreadsheets, or messaging apps to AI services so information flows without manual copy-paste.

Commonly connects with tools like

Make n8n Zapier HubSpot QuickBooks Stripe Telegram PostgreSQL

Built for production — server-side validation · rate limiting · human approval · secrets protected · containerized deployment

Independent engineering studio

Engiqa is an independent engineering studio — you work directly with the engineer who scopes, builds, and deploys your automation: Oleg Trebunski. No account managers, no handoffs.

Have a process worth automating?

It runs through a small version of the same AI classification you saw above, and comes directly to me for review.

Prefer to talk? Book a 15-min call · or email hello@engiqa.com