To uncover the real operational need for adding AI to an existing contact centre, you must look past the technology hype. You need to identify specific friction points, cost drivers, and data gaps in your current setup. [1, 2, 3]
Here are the top 15 questions to audit your existing infrastructure and discover if AI is truly necessary.
Current Technology & Infrastructure
- What specific software vendors handle your current routing, telephony, CRM, and ticketing?
- Where do data silos exist that prevent a single view of the customer?
- What are the licensing costs and contract end dates for your current systems?
Operational Pain Points & Efficiency
- Which routine, repetitive questions consume the highest volume of agent time?
- At what specific points in the customer journey do users abandon self-service?
- How much time do agents spend searching internal databases during a live call?
- What manual, post-call administrative tasks take up the most agent time?
Performance Metrics & Cost
- What are your current baselines for Average Handle Time (AHT) and First Contact Resolution (FCR)?
- What is your cost-per-contact across voice, email, chat, and social channels?
- How many interactions are abandoned entirely due to long queue wait times?
Customer & Agent Experience
- What are the top three complaints found in your CSAT or NPS survey feedback?
- What is your annual agent turnover rate, and what drives their exit?
- How do you currently identify and support frustrated customers in real-time?
Data, Insights & Quality Assurance
- What percentage of total customer conversations does your QA team manually review?
- How do you currently track emerging trends or sudden spikes in product issues?










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