THE APPROACH / WORK IS A HYPOTHESIS

HOW WORKING THESIS
EXAMINES WORK.

Working Thesis starts with the system as it exists today—not with a predetermined AI tool.

The problem comes before the platform. The outcome comes before the automation.

What this means for your business: recommendations are based on how the work actually moves, where it fails, and what a useful result requires.

THE ORDER MATTERS

  1. Business
  2. Work
  3. Problem
  4. Redesigned process
  5. AI / automation / appropriate technology
Historic architectural plan with measured rooms and structural annotations
LOOK CLOSELY AT HOW SOMETHING WORKS. EVIDENCE / REVISION · DAVID L. STINE · 1895 · TOLEDO LUCAS COUNTY PUBLIC LIBRARY / DPLA · PUBLIC DOMAIN (US)

01 / THE METHOD

01

OBSERVE

Understand how the work actually happens.

Follow the work, not just the process document. Look at the information, people, tools, decisions, and handoffs involved.

02

QUESTION

Challenge what has become normal.

Examine assumptions, duplicated effort, and inherited processes. Ask what the work is for—and whether it needs to happen at all.

03

PROPOSE

Develop a better working thesis.

Redesign the process around the intended outcome. Define what changes, who owns it, and what a useful result would look like.

04

TEST

Find out before committing.

Try the redesigned workflow on a small, representative piece of work. Check quality, exceptions, and the effort needed to maintain it.

05

APPLY

Use the appropriate technology.

Introduce AI, automation, or a simpler tool where justified. AI may support analysis, synthesis, research, knowledge retrieval, drafting, decision support, document generation, workflow execution, and repetitive operational work.

06

REVISE

Learn from what actually happened.

Measure the result, listen to the people doing the work, and improve. Every workflow is provisional.

READY TO EXAMINE ONE WORKFLOW?

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02 / THE DIVISION OF LABOR

WHAT AI
IS GOOD AT.

Useful capabilities, when the inputs and review process are right.

  • Finding information
  • Summarizing large information sets
  • Generating first drafts
  • Extracting structured information
  • Identifying patterns
  • Producing recurring reports
  • Assisting research
  • Routing or transforming information
  • Supporting repeatable knowledge work

WHAT SHOULD
REMAIN HUMAN.

Some responsibilities are part of the work—not obstacles to remove.

  • Final judgment
  • Sensitive decisions
  • Relationship management
  • Accountability
  • High-risk approvals
  • Strategic tradeoffs
  • Creative direction where human authorship matters

HAVE A QUESTION ABOUT YOUR SYSTEM?

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Technology is a means.
It is not the strategy.

AN OPEN QUESTION

WHAT WORK SHOULDN’T
YOUR BUSINESS STILL BE
DOING THIS WAY?

Let’s examine it.

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