INSIGHTS
A considered view
of what comes next.
NOTES ON INTELLIGENCE, SYSTEMS & THE WORK BETWEEN
Practical thinking from the studio. Questions worth asking, decisions worth examining, and ideas that help connect technical possibility to everyday work.
FEATURED GUIDE / 7 min read
AI agents vs workflow automation: choose the right autonomy
Decide where rules, AI interpretation, or an agent belong in a business workflow, with clear authority, approval boundaries, and evaluation criteria.
Read the guideExplore the working decisions.
Knowledge assistants: set freshness and permission rules
A source approval framework for internal AI knowledge assistants covering document updates, permission changes, deletion, cached answers, and release checks.
Read the perspectiveReliable AI workflows: approvals, retries and recovery
Design AI workflow automation that handles approvals, timeouts, duplicate requests, and partial failure with durable state and an explicit recovery path.
Read the perspectiveYour knowledge needs a system.
Reliable answers begin with clear sources, ownership, and a plan for change.
Read the perspectiveWhat makes an AI pilot useful?
Design a small experiment that can tell you whether a workflow deserves to ship.
Read the perspectiveStart with the work, not the tool.
A practical way to choose the first workflow worth improving with AI.
Read the perspectiveA PLACE TO BEGIN
Three decisions.
Three starting points.
Read with a real question in mind. These guides are intended to help a team prepare for a working conversation, examine a proposal, or decide what evidence it needs next.
Where could this be useful?
If the conversation starts with a tool, bring it back to a piece of work. Look for a repeated task with understandable inputs, an accountable owner, and a result someone can check. Separate the friction caused by moving information from the judgment needed to interpret it.
Bring to the discussionA recently completed task, the source material it depended on, and the person who handled the exceptions.
Map the work before the systemWhat would justify the next step?
If you already have a candidate workflow, turn the idea into a decision you can test. Define acceptable work, consequential mistakes, and the effort needed to review the output. An early result can open the conversation; representative cases and explicit rejection criteria give the team a stronger basis for its decision.
Bring to the discussionOrdinary requests, awkward exceptions, a reviewer with context, and a date on which the team will decide.
Design a pilot that can answerCan people depend on the answers?
If the challenge is scattered knowledge, begin with the sources and their owners. Establish which version takes precedence, who may access it, and how edits or deletions reach the system. Then evaluate whether an answer is supported, relevant to the person asking, and clear about what remains unknown.
Bring to the discussionA bounded source collection, recurring questions, known contradictions, and the people responsible for keeping guidance current.
Build the foundation for useful answersHOW TO USE THESE NOTES
Ideas should survive
contact with the work.
Our perspective is practical: clarify the task, choose a meaningful boundary, and evaluate the result in its real context. The right answer may involve AI, a conventional integration, a clearer process, or a decision to wait.
Use these guides to structure a working session. Bring the people who own the process, examine the assumptions behind the proposal, and adapt the questions to your permissions, responsibilities, and standards. Record what the team decides, who owns the next step, and what evidence would change that decision.
See how this informs our approachTHE NEXT CHAPTER
Move forward.
With intention.
LET’S TALKA complex challenge. A considered response.
Let’s explore what comes next for your business.