AI for business

AI implementation for real business processes

Sales and support AI assistants on WhatsApp and Telegram, document and application processing, product description generation, AI inside your CRM. Built on GPT, Claude and Gemini — connected to your actual data, not a generic chatbot.

Discuss a pilotSee examples
  • Contract & NDA
  • Reply within 24 hours
  • Code and data are yours
  • 5+ projects on long-term support
This is for you if

Does this sound familiar?

  • Managers reply to customers two hours later — and the customer already bought from a competitor
  • Staff manually re-key data from invoices, delivery notes and forms
  • You want to "add AI" but aren't sure what actually pays off
  • You need to process hundreds of texts: product descriptions, articles, reviews, support messages
What you get

What's included — the actual deliverable

01

AI sales assistant

Replies on WhatsApp / Telegram / your website in seconds, qualifies the lead, logs it in the CRM, hands off to a rep.

02

AI support

Answers 60-80% of common questions from your knowledge base; the rest goes to a human with a ready summary.

03

Document processing

Extracts data from invoices, delivery notes, applications, résumés — into your CRM, ERP or a spreadsheet.

04

AI inside your CRM

Conversation summaries, next-step suggestions, auto-filled records, call-quality scoring.

05

Content generation

Product descriptions, articles, emails — in your tone and rules.

06

Review & control

AI-text detection, plagiarism checks, moderation.

Stack & integrations

OpenAI GPTAnthropic ClaudeGoogle GeminiRAG / vector searchNode.jsPostgreSQL + pgvectorWhatsApp API
How it works

Steps and timeline

  1. 012-3 days

    Find the use case

    We look at your processes and pick one scenario with a clear payoff in money or hours.

  2. 022-3 weeks

    Pilot

    A working assistant or robot on real data, in a limited scope, with quality metrics.

  3. 032-4 weeks

    Rollout

    Integration into the CRM and messaging, team training, human-escalation rules.

  4. 04ongoing

    Iteration

    We monitor answer quality, retrain on new data, add scenarios.

Case study

What this looks like on a real project

platform — catalog
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Media · Business
246K reach$375
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Research / academic publishingEurope

Academic platform with AI text review

A digital ecosystem for academic publications: author, publisher and institution portals, a full editorial workflow. Built-in plagiarism and AI-generation detection, automatic journal matching, and integrations with major identifier and indexing systems.

3
portals for different roles
10+
external integrations
AI + plagiarism
text checks
AI detectionRAGPlatformIdentifiers
Price & timeline

Rough pricing, so you know what you're looking at

Price
pilot from $3,000 · rollout from $6,000
Timeline
2-3 weeks to a working pilot

An exact estimate follows a short call, usually within 24 hours, and is fixed in writing before work starts.

Discuss a pilot

What affects the price

  • 1Volume and quality of your data (knowledge base, conversation history)
  • 2Number of channels and integrations
  • 3Security requirements: cloud models or your own infrastructure
FAQ

About ai for business

Can't find the answer — email us.

Does our data end up inside OpenAI?

Data sent via API isn't used to train the models. For sensitive data, we can deploy an open-source model on your own infrastructure.

How is this different from a button-based chatbot?

The assistant answers real questions against your documents, prices and stock, holds a conversation, and hands off to a human when unsure. Button menus are a 2015 pattern.

How accurate is the document processing?

On standard invoices and delivery notes, 95-99% with human review of flagged fields. We measure exact accuracy during the pilot, on your documents.

Contact

Discuss a pilot — describe the task

Two sentences are enough: what you need and by when. We'll come back with an approach, timeline and rough price.

it@rinolens.comWe reply within a business day
  • Contract & NDA
  • Reply within 24 hours
  • Code and data are yours
  • 5+ projects on long-term support
Budget (optional):

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Discuss a pilot