Claude can draft the reply. Your team owns the relationship.
Put customer context and a human decision around every AI-assisted response.
Read the field note ↗
USA
SFG field intelligence
Practical thinking at the intersection of operations, information, responsible AI, and adoption. Written to improve a decision—not fill a feed.
Explore the library
Put customer context and a human decision around every AI-assisted response.
Read the field note ↗Start with a recurring handoff. Build with the people who do the work, and test the result.
Read the field note ↗A renewal recommendation needs trusted contract evidence and a person with authority to act.
Read the field note ↗Model usage is one cost. Integration, retries and human review belong in the same picture.
Read the field note ↗More control is an option. Operating it well takes people, skills and a clear business reason.
Read the field note ↗The right model for one task may be wrong for the next. Make the exceptions visible.
Read the field note ↗Ownership, controlled access and repeatable evidence turn a demonstration into a decision.
Read the field note ↗Choose around your people and process, then compare technology on the same real work.
Read the field note ↗Automation can make an unstable workflow fail faster, farther, and with less visibility. Improvement has to come first.
Read the field note ↗Boards do not need to become model engineers. They do need decision-grade evidence about value, accountability, information, risk, and adoption.
Read the field note ↗A serious pilot is designed to answer an investment question. Everything else is a demonstration.
Read the field note ↗How to use the library
Each field note connects a leadership question to the operating evidence, ownership, controls, and adoption conditions required for action. Use the library to challenge a proposal, shape a pilot, or identify what must be understood before technology is selected.
Expose constraints, rework, failure demand, ownership, and the real customer journey before automating it.
02Connect governed information, measures, lineage, and accountability to the decisions leaders and teams must make.
03Bring security, privacy, responsible AI, accessibility, oversight, and fallback paths into the operating design.
04Translate evidence into a governed delivery path with accountable sponsors, benefits, capability, and scale decisions.
Executive signal
Use executive discovery to explore the operating, governance, information, and adoption implications behind a current transformation priority.