Process design
Your processes were not designed for AI
Why adding AI to an inherited workflow often preserves the very constraints the technology could remove.
Read the articleInsights
Practical thinking for making AI work.
Clear answers for leaders deciding where to start, how to implement, what to measure, and where people remain responsible.
Flyte perspectives
Answer the operating questions first.
Original guidance for moving from broad AI ambition toward specific work, decisions, and evidence.
AI readiness
What should an AI and workflow audit actually give you?
Replace a list of tools and ideas with a current-state view, ranked priorities, a future workflow, and a practical first move.
Read the articleValue and measurement
How do you know whether AI is improving the business?
Measure the workflow through cash, capacity, quality, risk, adoption, and the full human effort required.
Read the articleResponsible implementation
Where should human judgment remain?
Place human review where consequence, ambiguity, standards, and accountability require a person to decide.
Read the articleQuestions worth examining
Useful AI work starts with operating choices.
These perspectives focus on the decisions a company must make before tools become part of dependable work.
What should the process become?
AI can change the sequence, preparation, and coordination of work. The old process is a source of evidence, not a fixed design.
Where does judgment belong?
Consequential decisions need named owners, clear context, visible exceptions, and authority that does not disappear inside a tool.
What will make the change usable?
A workflow becomes real when the people operating it understand the boundaries, can recover when it fails, and know what good work looks like.
Apply the thinking
Bring one process into view.
If an article describes work your company is facing, use that question to begin a more specific conversation about the workflow in front of you.