Support conversations
Help customers and employees describe a request, find relevant information, and work toward a useful next step.
Support that understands the request and knows where to go next. We build AI assistants grounded in your knowledge, connected to your tools, and designed to work alongside your team.
Illustrative conversation. No messages are sent or records changed.
Your team should spend less time finding the same policy or asking for information twice. Give the assistant the context to help, and your people the control to take over.
Which requests arrive most often?
Where does the right answer live?
Which actions need approval?
Who takes over when a case gets complex?
Discuss your support workflowThe knowledge, tools, and review paths behind an assistant your team can work with.
Help customers and employees describe a request, find relevant information, and work toward a useful next step.
Retrieve information from approved knowledge, with references your team can inspect and maintain.
Connect conversations to the records and actions available through your existing tools and APIs.
Pass the conversation, relevant sources, and reason for escalation to the person taking over.
Define which actions the assistant can prepare, which need review, and where access should stop.
Design for the channels your team needs, with chat, email, or voice integrations scoped to your systems.
Connect approved documentation, policies, and business records. Design responses that point back to their sources and ask for help when the available context is incomplete.
Address changes require a check of the order’s dispatch status.
EXAMPLE SOURCE · SECTION 02“I can check the order status first. If the order is still eligible, I’ll prepare the change for review.”
Some requests need experience, discretion, or access the assistant should not have. Make that transition clear, with the useful details ready for the person taking over.
Customer needs an address change
Order status and policy checked
Dispatch timing needs confirmation
Support specialist reviews eligibility
A focused delivery process, from understanding the conversation to introducing the assistant.
Review common questions, policies, knowledge sources, and the cases your team handles most often.
Define what the assistant can answer, the actions it can prepare, and the boundaries for human review.
Integrate the agreed tools and test representative conversations, missing information, and escalation paths.
Launch with a focused scope, gather feedback, and improve knowledge and behavior as real requests arrive.
Tell us what your team handles.
Let’s talk it through
It can help interpret requests, retrieve relevant knowledge, collect missing details, and prepare actions in connected systems. We scope the assistant around your actual support process and the permissions available.
We assess the APIs, authentication, record access, and handoff options in your current tools. Where supported, the assistant can look up relevant information and prepare updates within your existing process.
The assistant should ask for clarification or route the request to a person. We define escalation rules and preserve useful context, so your team can continue the conversation without starting again.
We use approved knowledge sources and representative test conversations to evaluate responses. Source retrieval, action permissions, and human review points are designed together; no AI system can guarantee every answer is correct.
The channel mix depends on your requirements and the integrations available. We can plan chat, email, and voice workflows, then agree on a focused first release rather than launching every channel at once.
During discovery we agree on knowledge ownership, source updates, and the maintenance process. Support scope and ongoing improvements are defined as part of the engagement.
Bring your common requests, your tools, and your knowledge.
We’ll help you find the right first use case.