Workflow Design
We design ideal business processes that go beyond task-level implementation of AI (use AI) and instead enable collaboration with AI (with AI).
- Phase:
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- Evaluation
- Implementation
Issues in Workflow Design
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Issue 01 Difficulty in Selecting AI Implementation Targets
Uncertainty around which processes would benefit most from AI or automation technology leads to stalled prioritization.
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Issue 02 Failure to Drive Operational Transformation
While AI tools are being introduced at the task level, their use has yet to drive operational transformation.
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Issue 03 Fragmented Optimization
Despite promoting the implementation of AI, waste and inefficiencies persist.
Features
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Features 1
Identification of Key AI Implementation Areas
We model and organize current business processes to pinpoint areas where AI implementation can deliver the greatest value.
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Features 2
Workflow-Level Transformation
We design AI implementation policies for workflows that combine multiple tasks to drive large-scale operational change.
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Features 3
Elimination of Waste and Inefficiency
We rebuild workflows from the ground up using AI, ensuring operations free from waste or inefficiencies.
Support Process
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step 1
Information Gathering on Current Business Operations
Collect necessary information on current operations via process inventories and interviews.
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step 2
Business Process Modeling
Model current business processes using BPMN, the international standard for flow diagramming.
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step 3
Identification of AI Implementation Areas
Pinpoint inefficiencies and areas where generative AI can have a significant impact on current operations.
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step 4
Design of Ideal Workflows
Design ideal business processes as workflows that span multiple tasks.
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