Context assembly leak
Assumes 10 minutes of context gathering for each repeat question before the agent can answer.
ZERO Generative AI Models - Private encrypted storage + browser and backend PII controls
Estimate the annual budget leaking through repeated support questions, context gathering, agent churn, and low self-service resolution. Then use your ticket history to find the customer wording and FAQ drafts worth fixing first.
Model three leaks most teams feel but rarely measure: context assembly, repetition-driven attrition, and the self-service opportunity hiding in repeat questions.
Start with a B2B SaaS support baseline. Tune the assumptions to match your queue.
Directional budget exposed by the assumptions below. This is not a forecast of what the Resolution Audit will save.
Assumes 10 minutes of context gathering for each repeat question before the agent can answer.
Assumes 70% of attrition is tied to repetitive frontline support load and a $46,000 replacement cost.
Shows the annual ticket cost affected if findable help-center pages move repeat questions from 14% to 40% self-service resolution.
Upload your 30-day ticket export. The Snapshot shows whether repeat questions are actually there, which customer wording is missing, and one review-ready FAQ draft built from resolved replies.
Opens in your mail app with the breakdown above, addressed to Juan. Send it and get a first read on which leak your ticket export would confirm.