Awalim Groupعوالِم قروب

Agentic AIذكاء اصطناعي وكيل

An agent acts; a chatbot suggests

The first suggests text; the second changes state inside your system. We build the second — with explicit limits, a full log, and a human in the approval loop on every decision with a financial or legal effect.

Teams repeating definable manual work: data entry, classification, answering questions from documents.

Route Pathالمسار

What you receive, and in what order

The diagram is drawn from the deliverables list itself — it cannot differ from it.

01 A written task definition 02 An evaluation set and its 03 An agent running inside yo 04 The ability to swap the mo
1. A written task definition 2. An evaluation set and its 3. An agent running inside yo 4. The ability to swap the mo

Scopeما يشمله

The areas we cover

  • Document extraction: invoices, receipts and contracts from an image into structured fields
  • Knowledge systems that answer from your documents, with a citation on every answer
  • Workflow automation across your systems, stopping at the human decision points
  • Evaluation and governance: accuracy measured before launch, and a log for every decision

Deliverablesما نُسلّمه

What stays in your hands after we finish

  • A written task definition and permission boundary
  • An evaluation set and its results before deployment
  • An agent running inside your system with a decision log
  • The ability to swap the model without a rebuild

Next stepالخطوة التالية

Start with a short call

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