Customer-facing AI needs clear ownership
When AI helps a customer choose a product, resolve a problem or understand a service, its output becomes part of your customer experience. The business needs to know what the tool may say, when a person should step in and who owns the result.
Editorial responsibility: Nardus Oelofse, Chief Consultant.
By Chase & Marshal
Define the customer promise
List the tasks the tool is intended to handle. General product information, order-status explanations and complaint handling involve different information and consequences. Set clear boundaries for matters requiring judgement, approval or access to a customer's account.
Use the same standard you would apply to another customer channel. If staff need an approved source for prices or conditions, the AI experience needs one too. Establish how changes reach the tool and who checks that superseded information is no longer being used.
Design the human handover
A customer should be able to reach a person when the matter falls outside the tool's role. Make the route visible and preserve enough context to avoid forcing the customer to start again. Decide which situations require immediate escalation.
Consider an illustrative supplier using AI to answer delivery questions. Routine service information may be suitable. A missed delivery affecting a customer's production schedule may need a person with authority to make a commitment. The handover should reflect that difference.
Review the information the experience uses
Map what the customer enters, which records the tool can access and what is retained. Collect information that serves a clear purpose. Test whether one customer's details could appear in another interaction and whether staff can explain the handling of information.
The Office of the Privacy Commissioner publishes guidance on applying privacy principles to AI. Use it alongside a review of the particular service and its settings. A provider's general assurance does not explain the way your own customer journey has been configured.
Evaluate outcomes that matter to customers
Review accuracy, unresolved questions, handover quality and the time needed to reach a useful answer. Include complaints and unusual cases in the review. A high number of automated responses does not establish that customers were helped.
Give a named person authority to change or suspend the experience. Keep a record of recurring problems and the decisions made in response. This creates a practical feedback loop between customer service, product information and technology, instead of leaving the channel to operate as a separate experiment.
Questions answered
Should customers be able to speak to a person?
Build an appropriate human route into the experience, particularly for exceptions, complaints and decisions that require authority. The handover should preserve useful context and make the next step clear.
Related
Sources
Sources supporting the factual statements in this article. Findings should be read within their stated dates, geography and scope.
- Helping Kiwi businesses succeed - Business.govt.nz. www.business.govt.nz. Publication date not supplied.
- Office of the Privacy Commissioner | Homedown arrow. www.privacy.org.nz. Publication date not supplied.
Build the right customer handover
We can help define an AI use case, its customer boundaries and the operating responsibilities needed to support it. Start with the customer interaction you want to improve.
