Title: Autonomous Web Entities
Authors: Leonard Selvaraja Fernando, Sooryah Prasath, Akshay Eti
Year: 2026
Organization: icrewsystems
Type: White Paper
Status: Published

ABSTRACT
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This white paper introduces the concept of Autonomous Web Entities (AWEs) — self-operating digital agents capable of interacting with web services, managing data pipelines, and making decisions within defined operational boundaries. As AI language models and browser automation technologies converge, a new class of persistent, goal-oriented web agents is emerging. We propose a formal architecture for AWEs comprising four layers: the Perception Layer (web interaction and data ingestion), the Reasoning Layer (LLM-driven decision-making with guardrails), the Execution Layer (action execution with verification), and the Memory Layer (persistent state and learning). Through prototype implementations at icrewsystems, we demonstrate AWEs handling customer support triage, automated data reconciliation, and scheduled reporting — reducing manual intervention by 87% for defined workflows. The paper also addresses safety, alignment, and the ethical considerations of deploying autonomous agents on the public web.