{"schemaVersion":"ready-scan.discovery-surface.v1","id":"urn:readyscan:corpus:buyer-question:feld-ai-gmbh-q140070925-answer-8356bd91d519a56becf4","key":"buyer_question:feld-ai-gmbh-q140070925-answer-8356bd91d519a56becf4","kind":"buyer_question","slug":"feld-ai-gmbh-q140070925-answer-8356bd91d519a56becf4","canonicalUrl":"https://readyscan.ai/corpus/buyer-question/feld-ai-gmbh-q140070925-answer-8356bd91d519a56becf4","machineUrl":"https://readyscan.ai/discovery/corpus/buyer-question/feld-ai-gmbh-q140070925-answer-8356bd91d519a56becf4.json","datePublished":"2026-10-18","dateModified":"2026-10-18","materialFingerprint":"fnv1a64:4015de0d26ccdedc","membershipFingerprint":"fnv1a64:11cd4bdb0114d0a1","relatedEntitySlugs":["feld-ai-gmbh-q140070925"],"relatedSurfaceKeys":["buyer_question:feld-ai-gmbh-q140070925-answer-149aead425cf9a080e73","buyer_question:feld-ai-gmbh-q140070925-answer-237a32f43f2ac927b5a6","buyer_question:feld-ai-gmbh-q140070925-answer-24072801948f36614958","buyer_question:feld-ai-gmbh-q140070925-answer-2faebb0abc284647a1cd","buyer_question:feld-ai-gmbh-q140070925-answer-3e6e418a8d6ee0d405c4","buyer_question:feld-ai-gmbh-q140070925-answer-5176e30f0996ccf409a2","buyer_question:feld-ai-gmbh-q140070925-answer-5f2759e96d7b11a2eb38","buyer_question:feld-ai-gmbh-q140070925-answer-601df4670fdabd1c94d1","buyer_question:feld-ai-gmbh-q140070925-answer-923c479bee36563d2273","buyer_question:feld-ai-gmbh-q140070925-answer-a6f8cc5396e2ba27d513","buyer_question:feld-ai-gmbh-q140070925-answer-ae83d4ebef7d5913aa65","buyer_question:feld-ai-gmbh-q140070925-answer-c75fa41701717ce2a908","evidence:feld-ai-gmbh-q140070925","relationship:feld-ai-gmbh-q140070925-products-and-services"],"sourceIds":["ready-scan-subjects"],"provenance":[{"snapshotId":"feld-ai-gmbh-q140070925-content-52745b81c5a716cb-snapshot","sourceId":"ready-scan-subjects","sourceRecordId":"Q140070925","sourceRevisionId":"Q140070925:content:c904e2d91ed9b35a","sourceContentHash":"fnv1a64:0c4a70d780f27693","recordRevisionId":"Q140070925:content:c904e2d91ed9b35a","recordContentHash":"fnv1a64:31c6cac6db5d33ea","sourceCanonicalUrl":"https://feld.ai/","sourceModifiedAt":"2026-10-18T13:07:02.855Z","observedOn":"2026-10-18","permission":{"basis":"public_information","evidenceUrl":"https://feld.ai/"},"attributionUrl":"https://feld.ai/"}],"quality":{"method":"same_kind_unique_trigram_floor","minimumUniqueTrigramRatio":0.3,"status":"passed"},"title":"How do I calculate the ROI of a document process?","summary":"Cited source answers across 1 active corpus record.","question":"How do I calculate the ROI of a document process?","answers":[{"entitySlug":"feld-ai-gmbh-q140070925","entityName":"feld.ai GmbH","answer":"“Cost per result instead of cost per token: (unit cost per document + cost of manual rework) × volume, compared with your current process costs. What matters are measured model costs for your document mix and precision that actually reduces rework. feld.ai runs this calculation with you in the first call, based on your real document mix.”","sourceUrls":["https://feld.ai/en/solutions/ai-agent-roi/"]}]}