Touchcompass

AI-assisted bookkeeping needs a review surface that explains what evidence and rule produced a suggestion. Touchcompass attaches a plain-language rationale to each proposed categorization and gives the accountant a controlled correction path. The supplied research confirms structured-generation tooling and official accounting interfaces, and finds no direct transaction-explainability sidecar. It does not establish that one explanation format works across ledgers or that a correction can safely retrain a model. Source document, extracted fact, rule, suggestion, explanation, accountant review, reversal command, provider acknowledgment, ledger readback and future model behavior remain separate. The explanation must be reconstructable from preserved evidence; fluent text is not enough. A user correction becomes labeled feedback only after authorization and never silently changes global behavior. Posted, reconciled, closed-period, tax-sensitive and multi-entity transactions require stricter handling. The product does not judge employees or vendors and does not call a suggestion compliant, correct or audit-ready. Success means reviewers can understand, accept or reject suggestions faster with fewer unexplained destination mismatches—not that the AI replaces accounting judgment.

An AI bookkeeping vendor, accounting platform team or CPA firm that needs reviewable transaction suggestions and controlled correction evidence.