AI Advisory · Rung 2 · The Human System
Where AI belongs — and how to govern it
A strong stack is wasted on the wrong problems. Rung 2 is the operating model: where AI creates value, who owns it, and how it's governed.
The real work
Most companies over-focus on tools and under-focus on the operating model
The tool is the easy part. The hard part is deciding where AI actually creates enterprise value, which workflows to prioritize, who owns what, and where a human stays on the hook. Get that right and the build is fast and safe. Get it wrong and you've automated the wrong thing, consistently.
The method · Rung 2
Where does AI actually belong?
Before a single thing gets built, we find the use cases worth building. Six questions pressure-test every candidate — then we rank what’s left on the criteria that decide whether it’s real. Click any question to see what we ask.
WhyWhy does this matter?
- What problem are we actually solving?
- What happens if we do nothing?
- Which driver does it move?
Click any question to drill in.
Then we rank the candidates
The operating model
The right people. Clear roles. Strong execution.
A use case with no owner dies, and AI with no operating model becomes ten disconnected experiments. This names who does what, top to bottom. Click any role to see it.
Trusted AI
Governance is what lets a board say yes
Governance is not the brake on AI - it is what makes it safe to rely on. Five pillars turn around one hub. Click any one to see what it means.
Run in that order
One company, operating as one system
Discovery picks the work. The operating model staffs and owns it. Governance keeps it inside the lines. Run in that order, Rung 2 turns "we should use more AI" into a governed portfolio of owned, high-value use cases — one company operating as one system, not ten experiments.