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Web & AI

AI integration

AI that cuts repetition, not a marketing stunt

For small and mid-size firms in Serbia: AI chatbots and API integrations only where they pay back through fewer calls, faster replies, and cleaner inquiries. Measurable ROI, controlled token spend.

Send an inquiryWhat AI adds

Problem & solution

Hype bot or an assistant tied to your knowledge?

A generic chatbot sounds modern until it invents your prices. Serious AI integration sits on your knowledge base and clear boundaries.

Problem

Hype bot with no foundation

  • Answers “from thin air” when there is no context about your firm
  • You still write the same FAQ replies by hand every day
  • API keys in the frontend and an uncontrolled token bill
  • Complex cases stall while the bot pretends it knows everything

Solution

KB chatbot + secure API

  • A model trained or steered on your FAQ, pricing, and terms
  • Answers 24/7; unknowns fall back to you
  • Keys on the server, spend limits, and cost tracking
  • Form inquiry classification before messages hit your team

AI makes sense when the same questions burn hours. If there is no repetition, strengthen the site or process instead of forcing a model.

Included

Where AI actually saves time

ROI before hype: answers, lead filtering, and routine automation. Only if it shows up in hours or money.

  • On-site assistant

    Answers repeating questions from your knowledge base, 24/7, in Serbian.

  • Lead filtering

    Gathers context before it reaches you. Fewer dead-end chats, more qualified leads.

  • Models via API

    OpenAI, Gemini, or other models wired into your site or app, with a cost ceiling.

  • Limits and fallback

    A clear knowledge base, and a handoff to contact when the model must not guess.

Checklist

When AI integration actually pays back

  • You get the same questions about services, pricing, and timelines every day

  • You need answers outside business hours without hiring someone

  • Forms should be filtered before the inbox

  • You have a site or web app where a chatbot can live

  • You can prepare a short knowledge base (FAQ, packages, terms)

  • The goal is clear: fewer calls, a faster first reply, or less copy-paste

If AI won’t save time or money, we don’t push it. In a consultation we also say when not to do it.

Process

Process: from filter to measurement

Four steps that separate useful AI integration from an expensive demo.

  1. Use-case filter

    What AI is allowed to do, what must stay human, and whether savings cover build cost plus tokens.

  2. Knowledge base

    FAQ, tone, banned topics, and fallback. Content that keeps the chatbot truthful about your business.

  3. Integrate

    OpenAI, Gemini, or another API on the server. Wired into your site or app, with spend limits.

  4. Measure

    Accuracy checks, mobile UX, token tracking, and comparing resolved inquiries before and after launch.

Investment

Pricing for AI integration

Website chatbot

By scope

Assistant on an existing or new site. Typically 2 to 3 weeks, plus monthly token cost.

Broader AI logic

By scope

Inquiry automation, AI inside a web app, or multiple channels, by complexity and volume.

ROI review

24h

Free viability review, rough build price, and expected monthly API spend.

Next step

Ready for the next step?

Free consultation and a quote within 24 hours. No obligation.

Free quote within 24hView pricing

FAQ

Frequently asked questions