Consistent answers, with a path to a person.
A customer-facing assistant can be configured around approved products, policies and service procedures, cite relevant sources and route questions that need a person.
What most businesses are dealing with.
Customer wait times create friction
Customers often expect timely answers, while queues create frustration for customers and pressure for support teams.
Support demand grows with volume
As customer query volume grows, repetitive questions can place more pressure on support teams.
Inconsistent answers across agents
Different answers to the same question can create customer frustration, brand risk and compliance concerns.
After-hours queries go unanswered
Questions can arrive outside staffed hours, leaving customers waiting for information that may already exist in approved support content.
Capabilities scoped to the use case.
Configured and grounded in your content
Aiden is configured and grounded in your product catalogues, FAQs, return policies, service manuals and any other documentation you provide.
Human escalation
A deployment can route questions outside the approved scope to a person and include relevant conversation context where the connected workflow supports it.
Multi-channel deployment
Supported website, app or internal-tool experiences can be assessed and included in the agreed scope.
Connected product data
Where a supported integration is included, Aiden can use approved product, pricing or availability data from the connected system.
Escalation signals
Implementations can define signals and rules for conversations that should be reviewed or escalated to a person.
Conversation analytics
Where included and appropriately governed, review common questions, knowledge gaps and configured resolution signals.
What this approach is designed to enable.
Ready to see Customer Support AI in action?
Request a free AI roadmap and we'll show you how this solution could work in your specific business.