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Engineering leadership for the agentic age

Taxonomy/Strategy

AI adoption strategy

An AI adoption strategy is the deliberate sequence of decisions an engineering leader makes about where, when, and how agentic tools enter the software delivery lifecycle: which teams pilot first, what guardrails apply before scale-up, and how success is measured before the next team adopts.

Last reviewed Draft, pending editorial review

Common questions

Should we run a top-down mandate or let teams opt in?

Most leaders who have scaled past a first pilot combine both: a mandate to try, paired with team-level choice over which workflows to change first.

How long should a pilot run before deciding to scale it?

Long enough to see the metric move net of the ramp-up dip, typically one full delivery cycle for the team in question.

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