90 Day Plan¶

First 30 Days¶

Outcome	Actions
Establish trust and context	Meet platform, delivery, risk, and business stakeholders. Inventory existing AI efforts and pain points.
Pick pilot candidates	Score 6-10 workflows by value, data readiness, operational risk, and user adoption path.
Define standards	Create initial templates for agent traces, evaluation cases, approval gates, and rollout criteria.
Baseline metrics	Measure current cycle time, rework, handoff delay, and quality defects for top candidates.

Outcome	Actions
Launch first controlled pilot	Build one narrow workflow with logging, human review, and rollback.
Prove measurable value	Compare pilot output to baseline and collect user trust feedback.
Harden delivery model	Add runbooks, ownership, failure taxonomy, and governance review cadence.
Prepare second workflow	Choose adjacent use case that can reuse the same platform pattern.

Outcome	Actions
Scale responsibly	Graduate the first pilot or stop it based on metrics. Launch the second workflow only if controls hold.
Build enablement	Publish playbook, templates, and decision matrix for new teams.
Executive readout	Report outcomes, costs, risk posture, and next-quarter roadmap.
Portfolio plan	Prioritize next 3-5 workflows with clear ownership and capacity assumptions.