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A practical path for teams that want to move beyond AI experiments.

The T-W-O Project stays grounded in a serious idea about work. These engagements turn that idea into a method for identifying, redesigning, and prototyping AI-native workflows.

A concise path from AI interest to workflow redesign.

What services does The T-W-O Project offer?

The T-W-O Project offers AI-Native Workflow Bootcamps, Workflow Opportunity Reports, and AI-Native Workflow Sprints for teams that want to move beyond AI experiments.

How do teams choose the first workflow to redesign?

Teams start with real workflow submissions and evaluate them by business value, AI feasibility, risk, frequency, and reusability. The best first workflow is important enough to matter and bounded enough to redesign, test, and learn from.

What is a Workflow Opportunity Report?

A Workflow Opportunity Report reviews participant-submitted workflows, scores them on business value, AI feasibility, risk, frequency, and reusability, then identifies top candidates and next-step pilots.

What is an AI-Native Workflow Sprint?

An AI-Native Workflow Sprint is a 2-4 week engagement to select one workflow, map the current process, redesign it with AI, tools, and human judgment, and build a lightweight prototype or demo.

1

AI-Native Workflow Bootcamp

What happens

  • Interactive session
  • Hands-on workflow redesign exercises
  • Collection of real workflow submissions
  • Team discussion and reflection

What you leave with

  • Shared understanding of AI-native workflows
  • Initial workflow ideas
  • Candidate workflows for deeper analysis

2

Workflow Opportunity Report

What happens

  • Review participant-submitted workflows
  • Score workflows on business value, AI feasibility, risk, frequency, and reusability
  • Identify top opportunities
  • Recommend next-step pilots

What you leave with

  • Executive-ready opportunity map
  • Top workflow candidates
  • Recommended pilot roadmap

3

AI-Native Workflow Sprint

What happens

  • Select one workflow
  • Map the current process
  • Redesign it with AI, tools, and human judgment
  • Build a lightweight prototype or demo
  • Define evaluation criteria and implementation roadmap

What you leave with

  • Redesigned AI-native workflow
  • Prototype or demo
  • Human-in-the-loop design
  • Evaluation rubric
  • Implementation plan

If your team is ready to move beyond AI experiments, book a meeting.