Lab and Policy Groups

Definition

A practical post-workshop structure: create two working groups simultaneously — one focused on experimentation and one focused on governance. Running them in parallel prevents the common failure where either innovation stalls waiting for policy, or policy chases runaway experiments after the fact.

The Two Groups

The Lab — a small, cross-functional group with a mandate to experiment. They test AI tools on real work, document what works, identify what breaks, and generate usable evidence. Low stakes, reversible scope, short feedback loops. Their job is to produce organizational learning, not just productivity.

The Policy Group — a small group with a mandate to establish guardrails. They answer: what can we use AI for? What requires human review? What data must not touch external systems? What constitutes acceptable output quality? Their job is to make the governance explicit enough to communicate — not to lock everything down.

Why Both Together

Organizations that only run a lab end up with inconsistent, ungoverned experimentation — the shadow AI economy formalized. Organizations that only run a policy group end up with rules written by people who have not used the tools, which produces either over-restriction or policies that miss the actual risks.

The two groups inform each other. Lab findings surface the real governance questions. Policy decisions define the boundaries within which the lab can move faster.

What to Pay Attention To

• Whether the lab has real decision-making authority or is just a demo exercise
• Whether the policy group is connected to legal, HR, and IT — or operating in isolation
• Whether findings from both groups are being shared with the broader organization or staying siloed
• Whether the cadence is fast enough — monthly cycles, not quarterly reports

Connections

Govern Shadow AI to Innovation Adoption Gap

Sources

• [inferred from workshop design — consistent with organizational ambidexterity literature and change management practice]

Tags: implementation, governance, experimentation, operating cadence