Technical practice
How would you prioritize AI opportunities across AMS, enterprise platforms, mobile and enterprise operations?
What to coverSuggested preparation: Describe criteria such as client value, repeatability, delivery feasibility and expected operational impact. Explain how you would compare opportunities and decide what enters an offering roadmap.
How would you translate a client's managed-services challenge into an AI offering?
What to coverSuggested preparation: Start with the service problem and a measurable outcome, then explain how you would define the use case and value proposition. Address how the solution could scale beyond one client without losing relevance.
When would you use generative AI, agentic AI or intelligent automation in service delivery?
What to coverSuggested preparation: Compare the kinds of work each approach could support and when a simpler approach may suffice. Discuss reliability, human oversight and operational fit as evaluation trade-offs rather than assuming every task needs AI.
How would you develop an executive-level business case for an AI-enabled managed service?
What to coverSuggested preparation: Connect the client's baseline challenge to expected productivity, cycle-time, quality or cost outcomes. Explain assumptions, investment and delivery costs, and how you would test whether the projected value is achievable.
How would you build a roadmap from an initial AI use case to a scalable managed-services offering?
What to coverSuggested preparation: Describe how you would sequence validation, offering definition and wider adoption. Explain what evidence or delivery constraints would cause you to revise the roadmap.
How would you structure a service catalog for AI-enabled managed services?
What to coverSuggested preparation: Explain how you would define each offering's scope, intended outcomes and boundaries so sales and delivery teams can use it consistently. Discuss the trade-off between reusable catalog entries and client-specific needs.
How would you approach pricing and commercial modeling for a new AI-enabled offering?
What to coverSuggested preparation: Relate pricing choices to the service scope, cost to deliver, client value and uncertainty in expected results. Explain how you would examine commercial viability without assuming a particular pricing model is already in place.
How would you take an AI offering from concept to scaled adoption across sales, solutioning, delivery, governance and operations?
What to coverSuggested preparation: Clarify what each group needs to validate and where handoffs could create friction. Describe how you would resolve a mismatch between a promising proposition and the ability to deliver it consistently.
How would you measure and troubleshoot value realization after launch?
What to coverSuggested preparation: Define baselines and track the posting's outcomes, including productivity, cycle time, service quality, cost and renewal support. If results fall short, explain how you would distinguish adoption issues from weaknesses in the solution or original business case.
How would you decide whether an emerging AI capability warrants a change to an existing offering?
What to coverSuggested preparation: Compare its potential client value and competitive differentiation with integration effort and delivery impact. Explain what evidence would justify a roadmap change rather than adding technology for its own sake.
Behavioural practice
Tell me about a time you influenced a senior client stakeholder on a transformation decision.
What to coverSuggested preparation: Use situation, action and result to show the stakeholder's concern, how you framed the business case, and what changed. Keep the example grounded in your actual experience.
Describe a time you aligned sales, solutioning and delivery teams around an offering or client opportunity.
What to coverSuggested preparation: Use situation, action and result to explain the conflicting priorities, how you reached a workable decision, and the effect on delivery or adoption. Focus on your contribution rather than attributing the outcome solely to yourself.
Tell me about a managed-services or operational transformation you helped lead.
What to coverSuggested preparation: Use situation, action and result to explain the starting service challenge, your role in the change, and the measured operational outcome. If results were mixed, explain what you learned and adjusted.
Describe a time you had to reprioritize a roadmap because the expected value or feasibility changed.
What to coverSuggested preparation: Use situation, action and result to show the new evidence, the trade-offs you made, and how you communicated the decision. Explain the consequence for stakeholders and the offering or service.
Tell me about a time measured outcomes did not match a proposed business case.
What to coverSuggested preparation: Use situation, action and result to explain how you identified the gap, worked with relevant teams to investigate it, and responded. Distinguish what was measured from what had only been assumed.