What is a best practice when Approaching an automation Effort?
a. Prioritizing cost reduction above all other goals acquiring
b. New resources before starting automation work
c. Improving the current process before automating it
d. Eliminating the need for a technical support team
Answer: The best practice when approaching an automation effort is:
✅ c. Improving the current process before automating it
Expert Explanation:
Before automating any process, it’s crucial to first analyze, refine, and optimize the existing workflow. Automating an inefficient or flawed process can amplify issues rather than solve them, leading to wasted resources and unexpected complications. Organizations that prioritize process improvement before automation achieve higher efficiency, better ROI, and long-term scalability.
Why this is best practice?
Industry Experts Recommend It: According to automation specialists and digital transformation leaders, improving workflows first ensures automation is applied to a streamlined process, maximizing benefits.
Proven Business Outcomes: Studies show that businesses that optimize before automating experience higher success rates and lower implementation costs.
Scalability & Sustainability: A well-optimized process ensures automation supports future growth rather than becoming obsolete or requiring frequent modifications.
Evaluation of Other Options:
❌ (a) Prioritizing cost reduction above all other goals – While cost savings matter, automation should also enhance accuracy, efficiency, and scalability for long-term success.
❌ (b) Acquiring new resources before starting automation work – Investing in new tools before optimizing processes may lead to unnecessary expenses and inefficiencies.
❌ (d) Eliminating the need for a technical support team – Automation can reduce manual effort, but technical support remains essential for troubleshooting, system maintenance, and updates.
Final Takeaway:
Industry leaders emphasize that successful automation starts with process optimization—eliminating redundancies, refining workflows, and ensuring clarity before implementing automation. This approach leads to higher efficiency, better user adoption, and sustainable success.