Business Process Inventory

We support the creation of a hierarchical business process inventory. We evaluate the current workload and implementation complexity to identify and prioritize tasks suitable for AI application.

Phase:
  • Evaluation
  • Implementation
Business Process Inventory

Issues in Frontline Implementation of Generative AI

  1. Issue 01 Lack of Transparency in Business Operations

    Operations are not sufficiently visualized and have become black boxes.

  2. Issue 02 Limited Bandwidth of Frontline Staff

    Staff with deep operational knowledge are too busy to participate in process mapping.

  3. Issue 03 Inability to Select Target Processes

    While many tasks show potential for efficiency gains with generative AI, a lack of clear criteria makes it difficult to pinpoint which tasks to tackle first.

Features

  1. Features 1

    Proven Format

    We leverage a proven business process inventory format based on extensive implementation experience to accurately visualize the complete scope of business operations.

    Proven Format
  2. Features 2

    Flexible Hands-On Support Models

    We drive the streamlining of business processes through direct consultant intervention on the ground, without imposing heavy burdens on your operational teams.

    Flexible Hands-On Support Models
  3. Features 3

    Workload Visualization and Complexity Assessment

    We evaluate current workload and AI implementation complexity to identify areas where a significant reduction in workload is achievable with minimal difficulty.

    Workload Visualization and Complexity Assessment

Support Process

  1. step 1

    Definition of Promotion Policies and Inventory Scope

    Determine the policies and inventory scope for which teams to involve and at what level of granularity to organize business processes.

  2. step 2

    Task Breakdown and Workload Mapping

    Break operations down into hierarchical tasks and assess the current workload for each.

  3. step 3

    Prioritization of AI-Applicable Processes

    Determine which tasks to prioritize for AI implementation by evaluating their current workload and implementation complexity.

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