Workflow Integration and Solution Design

• Topic 01

  Identifying Good Candidate Tasks for AI

  45 questions
• Topic 02

  Designing Human + AI Workflows

  45 questions
• Topic 03

  Integrating Claude with Existing Tools and Data

  45 questions
• Topic 04

  Standardising Team Workflows and Reusable Prompts

  45 questions
• Topic 05

  Measuring Impact and Return on AI Workflows

  45 questions
• Topic 06

  Scaling from Individual Use to Team Adoption

  45 questions

A few questions from this unit, with the answer and a full explanation. The complete bank is available when you start practising.

1. Which of the following is a strong enabler of successful team adoption of AI?

   • A
     Keeping the approach secret from most staff
   • B
     Leaving everyone to figure it out alone
   • C
     Mandating use with no explanation
   • D
     Visible leadership sponsorship together with training and shared resources
     Correct answer
   Explanation

   Adoption is driven by enablers such as executive sponsorship, training, champions, shared assets, clear use cases, and psychological safety. Licences or mandates without support do not create sustained use. Key takeaway: sponsorship, training, and shared resources are strong adoption enablers.

2. Two managers assess the same complex legal-review process. One says 'automate it all', the other says 'AI can't touch it'. What is the most balanced, correct position?

   • A
     The 'AI can't touch it' manager is right because law is sensitive
   • B
     The correct answer is to alternate the two approaches each month
   • C
     Both are all-or-nothing errors; the process should be decomposed so AI assists suitable steps like summarising precedents while lawyers retain the high-stakes judgements
     Correct answer
   • D
     The 'automate it all' manager is right because efficiency matters most
   Explanation

   Both extremes ignore that a process is a mix of steps with different suitability. The balanced approach decomposes it, automating or augmenting low-risk sub-steps while keeping high-stakes legal judgement with accountable humans. Key takeaway: reject both extremes and apply AI step by step.

3. Why might a one-off task not be worth building a dedicated AI workflow around?

   • A
     One-off tasks can never be done with AI at all
   • B
     One-off tasks are always too risky for AI
   • C
     The setup effort may exceed the benefit, because a one-time task cannot spread that cost across repeated uses
     Correct answer
   • D
     Rare tasks are automatically confidential
   Explanation

   Building a reusable workflow has a fixed cost that only pays back through repetition. A single-use task offers no repetition to amortise that cost, so the effort may not be justified even if the tool could help ad hoc. Key takeaway: one-off tasks rarely justify workflow-building investment.