SteadframePowered by SPOI Systems
Customer experience

AI customer support with a human backstop

Answer routine website questions from approved company knowledge and hand sensitive or uncertain conversations to the right person.

Roles in this workflow
Leon avatarLeonCustomer Service Agent · Website support
Private knowledge and explicit controls
01

Support that knows the business

A useful support employee needs more than a general model. It needs the company's actual policies, product information, delivery terms, and escalation boundaries.

Steadframe retrieves relevant private knowledge for each question and uses confidence controls to decide whether to answer, ask for clarification, or hand the conversation to a person.

02

From website question to resolved conversation

The customer sees a simple chat experience while the business keeps an auditable support workspace.

  • Embed the Steadframe widget on the company website.
  • Connect approved support documents and FAQs.
  • Define topics that always require human review, such as refunds, legal requests, account changes, or personal data.
  • Let the AI answer routine questions and preserve the source trail.
  • Notify the team when a takeover or escalation needs attention.
03

Confidence without a blunt cutoff

Teams can use a confidence threshold or disable routine confidence handoff when the knowledge base is mature. Safety-critical topics still follow explicit escalation rules.

This keeps the system useful without pretending every question should be automated.

04

What to measure

Support quality matters more than raw answer volume.

  • Questions resolved without human takeover
  • Escalation reasons and repeated knowledge gaps
  • Time to first useful answer
  • Conversation outcomes after a human joins
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