01 / Vision
What better outcome becomes possible?
Name who benefits, what improves for them, and which tradeoffs matter. Include outcomes that today’s workflow cannot deliver.
Durable design for value delivery
Keep the outcome clear.
Let the workflow evolve.
AI capabilities keep changing. The design of work needs a clear purpose, explicit boundaries, and evidence that it is helping.
Effective Enterprise AI explores how people and AI can deliver better outcomes together. Begin with the value someone needs, reconsider how the work could happen, and use feedback to decide what to keep, change, or stop.
Explore the approach
The whole delivery system
Design beyond the individual task.
A faster task can move the delay into someone else’s queue. A useful result can still create costly review or rework. Look across the people, information, decisions, and dependencies that determine whether value reaches its recipient.
Sometimes the right change is AI assistance within an existing workflow. Sometimes the workflow needs redesign. And sometimes AI makes a worthwhile outcome possible for the first time. Choose the simplest arrangement that can do the job.
02 / Path
What should change first?
Choose a bounded change within your authority. Identify dependencies and decide what evidence would justify continuing, revising, or stopping.
03 / Means
What will make it work?
Design the roles of people, AI, information, and tools. Make ownership, evaluation, recovery, and feedback part of that design.
These perspectives inform one another. Experience with the work can change the path and reveal a better vision.
Two tests of effectiveness
Test the work.
Then test the value.
The workflow test
Was the result acceptable within the boundaries of authorized work?
Examine quality, correctness, permissions, resource use, and recoverability as the situation requires.
The value-delivery test
Did it improve the outcome for the recipient?
Look at waiting, downstream review, rework, cost, and other consequences. Some evidence arrives later and requires a person’s judgment.
A passing evaluation is evidence. The recipient’s experience tells you whether your measures are asking the right questions.
Put the idea to work
Start with one bounded workflow.
Choose work with manageable consequences. Make the intended improvement and the conditions that must hold explicit before changing how it runs.
Name the outcome and its recipient.
What would improve, and how would you know?
Find the boundaries and the people who own them.
What must be protected? Who depends on the current arrangement, and who can authorize a change?
Try a bounded change and examine its effects.
Compare the result with the current approach. Keep, revise, or stop the change based on evidence from the work and its recipients.
A developing body of knowledge
Principles that can be questioned.
Practices that can be tested.
Durable design means adapting execution without losing purpose or control. Outcomes and constraints can change too, but those changes should be deliberate and traceable.
This website will hold the reusable concepts, practices, evidence, and limits. Articles will explore particular arguments and applications, growing alongside that knowledge.
The approach is under development. Its usefulness must be demonstrated in bounded cases, with observations distinguished from hypotheses.