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veles

// AI Automation

AI automation that ships in weeks, not quarters

Custom AI automation built around the tools you already use, by a small senior team in Belgrade. No no-code shortcuts, no six-month roadmaps. Production-grade AI that earns its place in your stack and stays out of the way.

What we build

Veles is a custom AI automation agency. We design and ship intelligent systems that handle the repetitive, error-prone work in your business: order intake, customer messaging, scheduling, lead qualification, document processing. Your people do the work that actually requires them.

Every project is bespoke. We don't resell a no-code stack with a markup. We write real code, run real reviews, and ship production-grade AI automation that you can trust with revenue-critical workflows.

Typical deliverables:

  • AI agents that read incoming messages on WhatsApp, Instagram, email, or your own channels, draft responses, and route the hard ones to humans
  • Workflow automation that connects your CRM, scheduling, billing, and analytics into one operating layer
  • AI-assisted dashboards that pull data from messy sources and surface the three numbers that matter today
  • Custom integrations with the SaaS tools you already pay for (HubSpot, Notion, Slack, Salesforce, Calendly, ManyChat, your own back-office systems)
  • Document and ticket processing: extracting structured data from PDFs, emails, and customer messages without manual review

How it works

Four short stages, end-to-end usually inside 2-8 weeks depending on scope:

1. Discovery. A 30-minute call to understand the workflow, the volume, and what "good" looks like. We follow up with a written summary so we agree on the problem before anyone writes a line of code.

2. Scope and estimate. We map the project into milestones, identify the integrations, and give you a concrete estimate. No tiered pricing pages. Every AI workflow we build varies in scope, so we estimate each one honestly. See our scoping methodology.

3. Build. A small senior team works in weekly sprints. You get a live demo each week. You can ask for changes mid-build without paperwork. The system goes through internal review before it ever touches your customers.

4. Launch and operate. We deploy to production, monitor the first weeks closely, and stay available for adjustments. If something starts behaving oddly six months in, we are the people who fix it, not a stranger who never saw the original build.

Why custom AI automation (and not just Zapier)

No-code tools like Zapier, Make, and n8n are excellent for simple integrations between SaaS products. We use them ourselves where they fit. They fall apart when the problem involves any of these:

  • Custom AI logic that has to make a judgement call (which messages need a human, which can be auto-replied)
  • High-volume processing where per-task pricing makes a no-code stack 10× more expensive than custom code
  • Data that lives in non-SaaS systems: your own database, a legacy ERP, a spreadsheet your finance team actually trusts
  • Anything that has to integrate with WhatsApp Business at scale, where the official API is the only viable path
  • Compliance-sensitive work where you need to know exactly what the system did and why

Veles fills the gap between "I duct-taped this in Zapier" and "I need a six-month enterprise consulting engagement." Custom AI built fast, owned by you.

Who we work with

Our best fits are operators who already know AI automation will help them. They just need someone who can actually build it without disappearing for three months.

  • SMB owners in Serbia and across Europe who are growing past the point where the founder can keep doing all the operational work
  • E-commerce and B2B operators drowning in customer messages on WhatsApp, Instagram, or email
  • SaaS founders who need an AI feature shipped into their product without hiring a full ML team
  • Sales and recruitment teams spending hours on tasks that an AI agent could surface or filter first

If you have a problem that "should be automated by now," we should probably talk.

// Proof from production

Already running in production

// FAQ

Frequently asked

What is AI automation, exactly?
AI automation means using artificial intelligence (language models, agents, classifiers) to handle work that previously needed a person. It is broader than a chatbot. It includes intelligent routing, document parsing, lead qualification, decision-support dashboards, and process orchestration. The "AI" part lets the system handle ambiguity. The "automation" part is what makes it scalable.
How is custom AI automation different from no-code tools like Zapier or Make?
No-code tools are great for simple "when X happens, do Y" workflows between SaaS products. They struggle with high volume, judgement-based decisions, non-SaaS data sources, and anything WhatsApp-related at scale. Custom AI workflows are real code we write to your exact requirements. They cost more upfront and less over time, and they do things no-code physically cannot.
How long does an AI automation project take?
Most projects we ship are 2-8 weeks end-to-end. Smaller integrations (a single AI agent on one channel, a focused dashboard) land closer to 2-3 weeks. Larger systems (multi-channel agents with custom CRM integration, ongoing operate-and-tune) run 6-8 weeks. We give you a concrete timeline at the end of Discovery, before any code is written.
Will the system work with the tools we already use?
Yes, that is the whole point. We build around your existing stack instead of asking you to migrate. We have integrated with HubSpot, Salesforce, Notion, Slack, Calendly, ManyChat, the official WhatsApp Business API, the Instagram Graph API, custom Postgres databases, and the back-office systems most agencies pretend do not exist. If your stack is unusual, we will tell you straight before we quote.
How much does AI automation cost?
We do not publish tiered pricing because every custom AI build varies too widely. A focused single-channel AI agent is meaningfully cheaper than a multi-channel automation with CRM integration. After a 30-minute discovery call, we write up a concrete estimate with milestones, not a vague "starting from" number. See our scoping methodology for how we get from your idea to a number we both trust.
How do you handle data privacy and security?
We treat customer data as a trust signal, not a checkbox. All projects run with TLS in transit, restricted access on the build side, and configurable data retention. We are GDPR-compliant out of the box (we are based in the EU). For sensitive workloads we run inference on-premise or via privacy-preserving providers. Your data never trains anyone else's model. Specifics get nailed down in the data processing addendum we sign before any production data moves.
Can AI automation work for a small team?
Especially for a small team. The teams that benefit most from AI automation are the ones where the founder or operator is the bottleneck, answering messages, scoping orders, triaging tickets. AI moves that bottleneck. Big enterprises have whole departments to absorb inefficiency. Small teams do not. Custom AI is how a five-person company starts operating like a fifty-person one.
What happens after launch?
We do not vanish. The first two weeks after launch we monitor closely, tune thresholds, and fix the edge cases that only show up in production. After that, we are available for ongoing operate-and-iterate work at a predictable monthly rate. Or you can take the system fully in-house and call us when something needs an upgrade. Either way, the code is yours, documented, and built to be maintainable.

How we estimate

No tiered pricing because every custom AI build varies. After Discovery we map the workflow into milestones, identify the integrations and the hard parts, and give you a concrete estimate with no surprises. The methodology is the same whether the project is two weeks or two months.

See our scoping methodology →

Talk to us about your project

A 30-minute call is enough to know if AI automation is the right fit for what you are building. We will tell you straight if it is not.

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