Case Studies · Deliberate Adoption
Governed rollouts with measurable results.
A library of rollouts from companies around the world.
Morgan Stanley built an evaluation framework before AI reached 98% of advisor teams
Governance was the reason adoption scaled, not the thing slowing it down.
Read the casePKO Bank Polski built its own AI voice assistants instead of outsourcing them
Fifty million customer conversations later, the bank still controls the models handling them.
Read the caseAllegro tested its AI shopping assistant on 600,000 users before rolling it out to everyone
The pilot ran for months before the feature reached the platform's full user base.
Read the caseWalmart built a sandbox instead of banning AI outright
Employees got a controlled space to experiment first - then the company built a real tool around what actually worked.
Read the caseKlarna's AI assistant handled 2.3 million customer conversations in its first month
Not a pilot - a rollout, measured, with numbers attached.
Read the caseMorgan Stanley's AI could save advisors 10-15 hours a week
Not about replacing the advisor - about removing the paperwork around them.
Read the caseBCG consultants using AI closed most of the gap with trained data scientists
AI can widen what someone is capable of - but only as far as they can judge whether the output is right.
Read the caseBCG found AI made consultants 40% better - and 23% worse, depending on the task
The same tool, the same firm, two opposite results. The task was what mattered.
Read the caseDevelopers using GitHub Copilot finished a task 55.8% faster
A controlled study, one specific task - but a real, measurable productivity signal.
Read the caseAlior Bank's voicebot won an international award for measurable, not just flashy, results
The judging criteria weren't novelty. They were call-time reduction and automation rate.
Read the caseWhere does your organization sit in these stories?
Most companies are closer to getting this right than they think.
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