Building Trustworthy AI Ticket Resolution
Trust is earned through citations, confidence scoring, audit trails, and human approval. Build the workflow before scaling automation.
Trust is not a feature flag. It is the cumulative effect of a workflow that consistently shows its work.
For AI support, that workflow has four pieces: source retrieval, citation, confidence scoring, and human approval.
Designing for review, not for autonomy
Early-stage SaaS teams should design their AI support stack for review first. The agent should be the customer of the AI, not the bystander.
If a draft is not good enough to approve, the system should make it easy to flag the gap. Missing documentation, ambiguous policy, conflicting sources. These signals are the most valuable output of the system in its first months.
Building support AI you can actually trust?
SupportGraph turns docs and ticket history into a product knowledge graph for source-backed AI replies. Early access is open.