Layer 06: AI Enhancements: scaling support through AI assistance

AI Enhancements is the sixth and final layer of The 6 Layers of Support Maturity. Here we explore why turning on AI before the other 5 layers are in place causes more problems than it solves. Then we see why AI on top of structured systems delivers the best results.

Many leaders are under pressure to add AI, or see it as the magic bullet to solve growing support pain, ticket overloads, and dropping CSAT. But if you just add AI on top of a poorly structured support system, it will quickly amplify what already doesn't work.

If your agents are already struggling with tickets lacking context, routed to the wrong place, with no clear rules or knowledge base to call on, then an AI agent will not solve all of those problems. It will expose those, at scale, and fast.

However, if you have built solid foundations, following the previous five layers of The 6 Layers of Support Maturity framework, then adding the AI layer on top can unlock speed, consistency, and scale that would normally be impossible to deliver without adding significant headcount.

There are two key areas where AI can be used to enhance support - customer facing AI agents, and internal assistance for your human agents.

Customer facing AI agents:
Adding an AI agent to directly serve customers can help to handle high volume, reduce workload and improve response times.
But crucially it depends on knowledge quality and defined escalation paths.

Most importantly it must be well designed to know when it cannot help, and when is the right time to hand over to a human agent.

The best AI systems are not the ones that try to answer everything, rather those that know when to stop.

Furthermore, AI agents should not be seen as a replacement for support teams, rather as a force multiplier for a well designed system, to assist teams with handling first level enquiries and to relieve the pressure around support volume peaks.

Internal AI agent assistance:
Besides customer facing AI, we can also utilise AI assistance for your human agents, and this is supported in most ticketing systems.

An AI assistance layer can help agents to deliver consistency by automated triage, suggesting knowledge articles, improving writing styles and anchoring responses to your businesses tone of voice.

Furthermore, it can help to turn ticket replies into knowledge articles to be used to answer future questions.

With customer facing and agent assistance AI layers, your support can become scalable without losing quality.

In conclusion, support maturity isn't about working faster or adding more fancy tools - it's about building structured and scalable system, layer by layer, that won't break as demand grows.

Most teams start with AI because it is visible. The best teams earn it by building the layers underneath. That is the difference between automation that works and automation that fails at scale.

The 6 layers of Support Maturity:

Learn about the 6 layers of support maturity
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