AI Integration / 02

AI that pays back.

Not a PR project. Not «we have ChatGPT too». Specific processes, measurable ROI, open-source models without blocks.

Send a message →
PROBLEM

Most AI projects don't ship.

Companies spend 6 months on «AI strategy», build a chatbot demo, and ship nothing. Or they bolt OpenAI onto something and pray. Result: zero measurable ROI, lots of slides.

AI pays back fastest where humans currently do repetitive tasks with clear rules. Support, lead-gen, document parsing, internal search, analytics. Open-source models (DeepSeek, Qwen, LLaMA) are now competitive with GPT-4 at 10-15× lower cost.

APPROACH

One process — pilot in 6-8 weeks — measure — scale.

  1. / 01

    Process audit

    We find where humans currently waste time on repetitive tasks with clear rules. AI pays back there — not in «strategy».

  2. / 02

    Pilot on one process

    Pick one: support, lead-gen, document parsing, or internal search. 6-8 weeks to a working MVP with measurable impact.

  3. / 03

    Deploy and integrate

    DeepSeek/Qwen via Together.ai or your own GPU. Plugged into your CRM, Slack, Telegram, knowledge base — whatever you use.

  4. / 04

    Metrics and scale

    Dashboard with real KPIs. If it works — expand to the next process. If it doesn't — we say why and stop.

WHAT WE BUILD

Real scenarios, not demos.

24/7 chatbots

Close 60-80% of typical tickets across web, Telegram, WhatsApp. With agent escalation.

Lead qualification

AI reads the inquiry, asks follow-up questions, scores, files into CRM with a summary. Conversion +20-35%.

Document parsing

PDF/scan → structured JSON. Invoices, contracts, deeds. 50 docs/day instead of 15.

Internal search (RAG)

AI assistant over your knowledge base. Onboarding time 4 weeks → 1.5 weeks.

Natural-language analytics

«Show me sales by region this quarter» → SQL → charts → anomalies. Analyst focuses on better questions.

Voice assistants

Call center AI. Picks up calls, routes, answers standard questions.

FAQ

What gets asked.

How does this work for non-English?
Well. DeepSeek-V3 and Qwen 2.5 handle Russian, Chinese, and most languages at GPT-4o quality. We've tested on business tasks — subjectively indistinguishable.
What does inference cost?
DeepSeek-V3 via Together.ai: ~$7/month for a standard support chatbot. On your own GPU: ~$1/month. GPT-4o for comparison: ~$70/month.
Is our data safe?
Open models can be deployed on your infrastructure. Data never leaves your environment. For US/EU data-residency, we deploy to AWS/GCP regions you specify.
How long until we see results?
Pilot on one process: 6-8 weeks. Then expansion: another 4-6 weeks. Measurable ROI in 3 months.
We've never used AI — where do we start?
30 minutes. Tell us which processes eat your team's time. We tell you what's actually worth automating first, what comes later, and what never should.

Which process do you want to automate?

30 minutes, free. Describe the work — we'll tell you if AI can actually close it, what it costs, and how fast it pays back.

Send a message →