Is Your AI Giving Your Team More Capacity? Five Measures That Matter
An AI demo can look impressive, but the real test comes during the workday: are customers getting answers sooner, and is your team spending less time searching and re-entering information? These five measures show whether AI is making a practical difference.
AI can produce an impressive demonstration. The real test comes during the workday: are customers getting answers sooner, and is your team spending less time searching, checking, and entering information?
For manufacturers, these five measures can help show whether AI is making a practical difference.
1. Time to deliver a complete customer response
Measure how long it takes to resolve a request, including any necessary technical research, pricing, and availability checks.
A quick acknowledgment is useful, but customers need an answer they can act on. Widge connects technical documentation with live ERP information to help employees assemble that response faster.
2. Hours spent entering purchase orders
Track the time your team spends reading incoming POs, copying details, and preparing orders in the ERP. Include review and correction time.
Widge processes PDF and Excel purchase orders and prepares orders for human review and submission. Measuring the full workflow shows whether automation is freeing up time.
3. Questions resolved without an escalation
Track how often sales and support employees can answer a customer using available information without asking engineering or a senior colleague.
Widge makes documented product knowledge easier to access, with source references employees can check. The goal is to reduce routine interruptions while preserving expert review for questions that need it.
4. Time for new employees to work independently
Identify a set of common customer requests and track how long a new hire needs to handle them accurately with limited assistance.
Access to technical answers and operational information can help newer employees become productive sooner and reduce the coaching burden on experienced staff.
5. Errors and rework
Monitor order corrections, repeated customer contacts, and work that needs to be redone because information was missing or incorrect.
Faster processing should also produce reliable results. Review mistakes and exceptions to understand where better source information, clearer rules, or human judgment is needed.
Start with a baseline
Choose one workflow and record its current performance before introducing AI. Compare similar requests afterward, accounting for differences in volume and complexity. Include the time people spend reviewing AI-prepared work.
That gives you a clearer picture of the capacity gained and where further improvement is needed.
Bring us a workflow that consumes your team's time. We'll help identify how Widge could improve it and which measures would demonstrate the value.
See how Widge answers your team's questions
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