AI customer assistants: when they make sense and how to introduce them safely
When an AI customer service assistant delivers real value for an online store, what the risks are, and how to introduce one with quality control.
Topic
When AI assistants and tools make sense, how their quality is evaluated and how data is protected.
When an AI customer service assistant delivers real value for an online store, what the risks are, and how to introduce one with quality control.
Consultant-led formats with a clear scope that we usually start with.
WorkshopScoped individually
A structured session with leadership and key teams on where AI makes sense, where it does not, and which first step to take.
AssessmentScoped individually
A consultant-led assessment of your data, processes, systems and team, with an opportunity map and a prioritised written plan.
WorkshopScoped individually
A workshop with your team on whether your documents and data suit an AI assistant with retrieval (RAG) and what must be prepared.
ReviewScoped individually
A review of the rules, roles and controls for your AI systems: risk, human approval, data, evaluation, documentation and monitoring.
Describe your task and we will suggest a suitable scope and engagement model.