By transforming the employees’ experience of service desks and other workflow centres, organisations can unlock employee productivity that was previously hampered by waiting on hold, inability to access enterprise services due to password and access problems, and lack of access to knowledge.
Human/AI hybrid workflow approaches blend the strengths of humans and AI to deliver faster, more accurate service on complex workflows that cannot be handled by bots alone. This approach is critical to accelerating those workflows that cannot be addressed by simple conversational AI approaches.
The following represent the main dimensions in which service desks and other workflow providers can pivot to newer, faster, more efficient ways of delivering service to the hybrid workforce.
Portal may or may not exist. Employees call the service desk or call someone they know. Contact point and channel varies by business unit. Employees are confused and can’t find what they need.
Employees serve themselves through the enterprise portal. All departments’ support workflows are available here. Employees find knowledge and get issues resolved quickly, feel happier and can get back to work.
Phone and email dominate. Expensive, time-consuming and inconsistent. Lots of hold music.
Self-service portal is complemented by support through Slack, Teams, WhatsApp and more, enabled by AI. Users get what they want, how they want it.
Time-consuming and requires specialised skills to identify automation candidates. Requires coding skills to automate tasks. Hard to set aside time and budget to get ahead of the curve.
Automation of tasks is point-and-click. Accurate ticket classification means high quality data. Automation stays ahead of demand.
No chatbot agent, or agent that is essentially a glorified menu. Users get frustrated and end up calling the service desk anyway. Initial adoption falls away.
Natural Language Understanding allows the virtual agent to understand a wide variety of utterances and map them onto detailed categories, knowledge articles and workflows. Users find it easier to use the bot than to call or email the service desk.
Service desk agents with varying levels of experience and training have difficulty consistently and accurately categorising tickets. Tickets bounce around different queues looking for the right place to be resolved. Employees get wrong answers, and it takes too long.
Requests are instantly and accurately triaged and classified so they are assigned to the right support team. Tickets get resolved faster with higher quality, users get better service and are happier and more productive.
Once tickets reach the service desk they are handled with manual and error-prone processes. Slow, expensive and error-prone.
AI embedded in the service desk allows AI automate and perform, in machine time, subtasks like classification, diagnostics, knowledge search, action selection and action execution. Service agents do less swivel-chair. Faster and more painless resolution of issues makes both employees and service agents happy.
Knowledge is spread out in different repositories and hard to find for employees and service agents. Alternatively, a big expensive project is required to put all the knowledge in one place. Sucks resources.
Knowledge is indexed across multiple repositories and can be semantically searched using NLU from the service portal or the service desk. Employees can get whatever they need in one place, with more accurate matching of article to search terms
With a hybrid workflow approach employees have a better experience of the service desk, and service desk agents can be more accurate and productive. This frees up time and budget within IT to accelerate digital transformation.
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