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Company-wide AI adoptionfrom tool selection to training

DLG China · Jun 2026 – now

Claude Code · Tool evaluation · Curriculum

Sole owner: planning, tool evaluation, rollout, course design and delivery

Background

Leadership set a goal of company-wide AI adoption. An earlier attempt to drive it through a single SaaS tool had stalled for nearly a year, and staff still used AI mainly as a chat window, with little effect on day-to-day productivity.

Challenges

Most staff had no working concept of an agent and motivation varied widely; client data security was leadership’s first concern and a precondition for any proposal.

Solution

  1. Discovery: interviewed each team on current AI use and workflow pain points, and traced the stalled rollout to a gap in understanding: people did not know what work an agent could take on.
  2. Rollout strategy: replaced the top-down push of a single tool with a small pilot that produced repeatable examples, followed by a phased rollout to all staff.
  3. Tool evaluation: benchmarked MaaS platforms with data security as the primary criterion; wrote the evaluation report, secured leadership approval, and issued every employee an individual API key.
  4. Curriculum and teaching: designed a course around real business workflows and taught every session; iterated over several rounds of pilot feedback, breaking core concepts into progressive modules and opening with polished real-world demos to hold attention.

Impact

The company-wide course reaches 31 people across 12 cohorts; agents are now part of daily workflows, and several colleagues have built their own skills, such as a copywriter’s tool that collects competitors’ past copy and adapts its tone for her next draft.

Company-wide AI adoption 1.1
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