AI in customer service

We design it to assist with specific, well-defined tasks. Non-standard cases requiring judgment or verification should always go to the right person. We set the scope of automation to make customer support easier and faster.

We can use approved internal documentation, product descriptions, and your knowledge base. We agree on who is responsible for keeping them up to date. When data from systems is needed, we set up access restricted to the agreed purpose and permissions.

Yes. That is why we restrict its scope, test typical and edge-case questions thoroughly, and build in clear escalation paths to a human. Grounding responses in your company's vetted materials helps maintain quality, but it does not eliminate every mistake.

We can build such an integration provided your system exposes the required data. This requires proper user verification so that customers only ever receive information relevant to their own order.

Before deployment, we select the provider, define the scope of data, and confirm processing terms. We design the flow to limit both the collected information and who can access it. The exact details depend on the chosen solution and your organisation's compliance requirements.

We establish quality and efficiency metrics, such as answer accuracy, resolution time, and handoff rates. We also factor in tool running costs and the effort needed to maintain the knowledge base.