Abstract image

ATL BPM + AI Architecture Plugin

An operational plug-in for enterprise workflows that merges Business Process Management (BPM) and AI with embedded transparency, explainability, and human validation.

Features:

  • AI-Augmented Process Discovery

  • Human-in-the-Loop Governance

  • Generative AI Integration (LLMs, RAG)

  • Modular compatibility with tools like ServiceNow, dbt, and Azure

Ideal for: CIOs, digital transformation leads, operations managers.

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Work image
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Year

2025

Client

(NDA)

Services

UI Design, Development

Project goals

A plug-and-play AI layer that integrates directly with your BPM tools, bridging AI and operations with built-in governance and modularity.

At its core, the solution fosters symbiotic collaboration between humans and machines. It empowers organizations to drive efficiency and effectiveness in operational processes, while embedding ethical checks and transparency layers to ensure responsible AI deployment.

Key Features:

  • AI-Augmented Process Discovery & Automation: Detect and optimize workflows using autonomous agents and AI decision frameworks.

  • Human-in-the-Loop Governance: Ensure all AI-driven actions are subject to ethical validation and human review to maintain trust, transparency, and inclusivity.

  • Transparency & Explainability Layer: Integrated modules for explainable AI and audits to support regulatory compliance and build stakeholder confidence.

  • Generative AI Integration: Utilize LLMs and generative models for creative augmentation enhancing rather than replacing human roles.

  • Modular Architecture Layering: Supports advanced AI pipelines including RAG (Retrieval-Augmented Generation), neural networks, and ensemble learning, making the system highly adaptable to evolving enterprise needs.

This model redefines automation not as a tool or replacement, but as a force for human augmentation strengthening decision-making, enhancing trust, and enabling more equitable and resilient organizations.

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