Ticketing
Support technology improvement
Find a support workflow problem, choose a proportionate technology change and check its effect on customers.
Improve support technology by finding a specific point where customers or agents lose time, changing the workflow part that causes it, and checking the result. A new platform is one possible outcome.
Define the problem
Describe the work in terms an agent and customer would recognise. “Agents enter an order reference in three places before answering a delivery enquiry” is more useful than “the system is inefficient”. Identify where the request begins, who owns the next reply, what information is needed and where progress stops.
Review relevant cases across the channels involved, including ordinary enquiries, exceptions and handovers. Ask agents which information they had to find or enter again, and inspect what customers had to repeat. Keep those observations separate: a faster agent step may leave the customer's task unchanged.
Choose a baseline before changing the workflow. Depending on the problem, it might be the share of eligible cases needing a manual transfer, repeat contact about an unresolved issue, or customers' reported ease of getting help. State the eligible cases, period and counting rule.
If the proposed change involves AI, first audit the AI tools already in use and the tools available in current software packages. This can reveal whether the capability is already available before the team considers integrating another tool.
Check whether the proposed capability can work with the technology and information the team already uses. Integration with existing technology is a recognised barrier for small and medium-sized businesses adopting AI, so identify that dependency while defining the problem rather than treating it as a later detail.
Key Challenges in AI Adoption for Australian SMEs
- Integration with existing systems
- Recognised as a major barrier for SMEs adopting AI
- Cost of implementation
- High upfront investment deters many small businesses
- Lack of skilled staff
- Limited internal expertise hampers effective AI deployment
Pre-Change Audit Checklist for AI Integration
- Audit existing AI tools in useCheck what AI capabilities are already embedded in current software.
- Verify compatibility with current tech stackEnsure proposed AI solution integrates with existing platforms and data sources.
- Assess data quality and accessConfirm customer data is accurate, secure, and accessible for AI processing.
Match the change to the cause
| Finding | First change to consider | When a larger change may be justified |
|---|---|---|
| Agents repeatedly write the same approved answer | Improve the answer or use an agent-applied template | The current workspace cannot supply information or controls the answer requires |
| Cases move between teams without a clear owner | Agree on ownership and improve the handover | The system cannot show the agreed responsibility |
| Automation rules change the same case in conflicting ways | Narrow or retire the conflicting rules | The required decision cannot be maintained reliably in the current setup |
| Agents cannot see verified customer information | Repair the lookup and its fallback | The required data cannot be supplied safely or dependably |
These are possibilities to investigate, not diagnoses for a particular team. Separate a process gap from a configuration gap and a product limit. Give the process an owner even when software carries out part of it.
AI-enabled support can take different forms, including analytics for monitoring and diagnostics, chatbots for basic enquiries, automated ticketing, and knowledge bases or self-service. Match a capability to the specific work that is failing; the presence of a tool does not establish that it addresses the cause.
Assess the customer experience as well as the efficiency gain when considering automation. Geeks2U notes that AI can improve efficiency and reduce operating costs, but generic responses and tedious chatbot conversations can frustrate users; customer feedback can help identify where a human-centred approach is needed.
Make the change accountable
Record the affected cases, intended customer result, proposed change, owners and fallback. State what happens to cases outside the change. If an automated route cannot classify a request, a monitored queue still needs to receive it.
Before wider use, check the proposed path with safe, invented cases: a typical case, a missing-information case, an exception and a later customer reply. Inspect the final owner, next action and customer message. If replacement is proposed, include the work of moving active cases, retaining usable history and keeping a reply route during the switch.
Connect the change to the people it is intended to help and the outcomes they should experience. Protiviti advises linking a technology business case to anticipated outcomes and clearly defined personas, and considering financial, operational and business benefits together; its excerpt notes that modernisation efforts can add value in three or more related categories.
Decide from the customer result
Compare the same type of case before and after the change using a stated period and counting rule. Check the intended measure and possible side effects. Shorter handling time does not establish that customers stopped repeating details, waiting for another team or contacting support again.
If asking customers about ease, keep the question, scale and delivery point consistent. Report how many eligible customers received and answered it, and examine relevant case histories alongside the responses. Record whether to keep, revise or reverse the change, who owns the next action and when the result will be checked again.
Customer comments can add detail that a single score does not capture. A service survey can use open-ended questions to encourage customers to explain their experience, including what made getting help easier or harder.
In this guide
- Auditing repetitive work before adding another support toolTrace repeated agent actions, identify their causes and decide whether a workflow change, existing feature or new tool is justified.
- Removing conflicting support automation rulesTrace conflicting rules through a support case, assign each decision an owner and check the ticket path after a narrow change.
- Evaluating a new platform after a process reviewTurn process-review findings into a keep, extend or replace decision, with requirements and transition work made visible.
- Measuring whether a support technology change reduced customer effortDefine the affected customer journey, ask about ease, check repeat work and compare outcomes without overstating causation.
