EQAAB
Services

Conversational AI consultants in Romania

We work as conversational AI consultants in Romania, including Bucharest, on assistants grounded in a specific workflow -- support, internal knowledge, and document handling -- rather than AI added for its own sake. Chatbots, retrieval over your own data, and automation stay scoped to what the model can reliably do, with human review where accuracy requires it.

Business Challenges We Address

  • Manual document review, data entry, or classification consuming staff time
  • Customer support volume that a well-scoped assistant could reduce
  • Unstructured data (PDFs, emails, forms) that needs to become structured data
  • A desire to use AI, without a clear picture of where it would actually help

Capabilities

  • Design conversational AI for customer-facing support, lead qualification, and internal assistants scoped to a specific knowledge base
  • Develop intelligent document processing pipelines (extraction, classification)
  • Implement retrieval-augmented generation (RAG) systems over your own data
  • Build AI agents that automate multi-step internal workflows
  • Add recommendation logic based on your product or catalog data
  • Integrate AI providers (OpenAI and others) into existing applications

Typical Deliverables

  • Production AI feature integrated into your existing product or workflow
  • Evaluation results showing accuracy on your actual data, not benchmarks
  • Human-in-the-loop review interface where accuracy requires oversight
  • Documentation of prompt logic, data flow, and model dependencies

Technology Stack

OpenAILangChainVector databasesPythonFastAPINode.js

Our Approach

  1. 01

    Identify the specific workflow the AI feature is meant to improve

  2. 02

    Test feasibility against real samples of your data before committing to scope

  3. 03

    Build a human-review step wherever incorrect output has real consequences

  4. 04

    Measure accuracy and cost on production-representative data

  5. 05

    Roll out gradually, monitoring output quality after launch

Relevant Industries

SaaSHealthcare AdministrationFintechProfessional Services

Related Case Studies

AI Solution

AI Document Intelligence Platform

A representative concept for a RAG-based system that extracts and classifies information from large volumes of enterprise documents.

Frequently Asked Questions

No -- accuracy depends on the quality and structure of your data, and we won't promise a number before evaluating it. We test against real samples early so you know what to expect before full build-out.

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