How do you prevent the AI from providing inaccurate information?
Our systems are built around your approved business content, knowledge and rules. We establish clear boundaries around what the assistant can and cannot answer, then test it against expected scenarios and failure cases before deployment. When reliable information is not available, the assistant should not invent an answer.
What happens when the AI cannot answer a question?
The conversation does not have to end there. The assistant can recognise when human expertise is more appropriate, capture the relevant context and guide the customer toward the appropriate member of your team. The result is a more informed handover — not a dead end.
How long does implementation take?
Implementation timelines depend on the complexity of the solution, the knowledge required, the integrations involved and the overall scope. We prioritise thorough testing and optimisation so the system is ready for real customer interactions before deployment.
What do you need from our team?
We manage the implementation process from discovery through deployment. Typically, we need access to the content and systems you already use, an understanding of your business processes and a designated person who can review and approve the experience. You do not need to build the AI yourself.
Who owns the AI system and the information it uses?
Your business retains ownership of its business knowledge, customer information and leads. Specific data handling, integrations and third-party platform arrangements are defined clearly as part of the project scope.
How is the investment determined?
Every implementation is different. The investment depends on the scope of the solution, level of customisation, integrations, workflows and ongoing requirements. Rather than place your business into a generic package, we first understand your requirements and provide a clear written scope based on the solution you actually need.