AI Adoption
ai-adoption
AI Engineering
Choose which team workflows to hand to AI
Judge six workflows at a fictional home-services company by volume, error cost, checking effort, data, and the people affected, set an automation level and a human checkpoint for each, and choose the first pilot.
Turn an executive's AI mandate into a scoped pilot
Answer a COO who wants AI on every customer email and support costs down by a third: find the goal behind the request, check both targets against the team's figures and rules, and commit to a pilot you can measure.
Measure an AI pilot's quality, cost, and return
Judge a six-week AI order-entry pilot against a team that did not use the tool, count its full cost and quality per order channel, and recommend whether to expand, fix, or stop it with a budget cap and a review date.
Decide whether to build or buy an AI tool
Choose between the AI feature in your finance suite, a specialist vendor, and an in-house build: apply hard gates first, read a pilot on your own invoices, compare three-year cost on one basis, and recommend one option with contract conditions and an exit plan.
Judge whether coding assistants helped your team
Use three quarters of team delivery data to separate what coding assistants changed from a holiday freeze and a migration, check whether code review became the bottleneck, and recommend which seats to renew and whether and how to try agent mode.
Plan an AI rollout across a support team
Plan a staged rollout of AI drafting, knowledge suggestions, and auto-tagging across a fictional retailer's 64-agent support team before peak season. Set the automation level per queue, size each stage against training, QA, cost, and calendar limits, write gates before results, and lead the people side honestly.
