How would you approach the challenge of integrating AI into a traditional business model that has been resistant to technological change?

Example Answer

I would first ask why the business is resistant. Concerns may reflect unreliable past tools, integration costs, accountability, job changes or limited data rather than lack of understanding. Interview frontline staff as well as executives and map the existing workflow before proposing AI.

Choose a narrow, reversible pilot tied to a real problem, with a non-AI baseline and an accountable sponsor. For a support assistant, start with drafts for review, an explicit escalation path and clear data-handling limits. Agree how staff are trained and how their work changes; do not promise that automation cannot affect staffing.

Define success using correctly resolved cases, time including review and rework, customer complaints and full operating cost. Usage describes adoption but is not sufficient evidence of value. Gather feedback from users who decline or struggle with the pilot, not just enthusiasts.

Share results and limitations plainly, retain a workable fallback, and expand only after the agreed evidence and operational requirements are met. If the pilot adds work or fails the need, adjust or stop it. Staff participation and honest consequences are part of change management.