# Steve

> Steve extracts and verifies evidence from receipts, photos, documents and call recordings. Its native Open Loyalty integration connects approved evidence to loyalty campaigns and member activity.

Steve handles evidence extraction, configured verification checks, review and delivery. Open Loyalty handles campaign and earning rules. Capability availability is stated on the linked pages; roadmap and early-access workflows should not be treated as generally available.

## Overview
- [Steve](https://meetsteve.io/): Product overview.
- [Integrations](https://meetsteve.io/integrations): Connect Open Loyalty or build with Steve’s API and webhooks.
- [Open Loyalty integration](https://meetsteve.io/integrations/open-loyalty): Connect verified transactions and custom events to native loyalty campaigns.
- [Pricing](https://meetsteve.io/pricing): Current plans and billing information.
- [Book a demo](https://meetsteve.io/book-a-demo): Discuss your evidence and campaign workflow.

## Product capabilities
- [Extraction](https://meetsteve.io/product/extraction): Photos, documents, and audio turned into typed fields with confidence scores.
- [Verification rules](https://meetsteve.io/product/verification-rules): Your standard as declarative rules, with a reason every time one fires.
- [Fraud detection](https://meetsteve.io/product/fraud-detection): Duplicate photos, duplicate purchases, and impossible values caught before payout.
- [Capture quality gate](https://meetsteve.io/product/capture-quality): Blurry, dark, or cropped captures rejected on the spot and never billed.
- [Review queue](https://meetsteve.io/product/review-queue): Exceptions only, evidence beside the verdict, one click to decide.
- [Delivery and API](https://meetsteve.io/product/delivery-api): Sessions, webhooks, SDK, and a native Open Loyalty connection with a delivery ledger.

## Use cases
- [Receipt verification](https://meetsteve.io/use-cases/receipt-verification): Live. Proof of purchase, checked before the reward is paid.
- [Promotions and cashback](https://meetsteve.io/use-cases/promotions-cashback): Live. Consumer promotions that pay out on real, eligible purchases only.
- [Warranty and product registration](https://meetsteve.io/use-cases/product-registration): Live. Serial numbers, dealers, and purchase dates from a photo of the proof.
- [Insurance claims evidence](https://meetsteve.io/use-cases/insurance-claims): Early access. Claim documents and damage photos, extracted and checked against the policy.
- [Shelf and retail execution](https://meetsteve.io/use-cases/retail-execution): Live. Share of shelf, facings, and planogram compliance from a store photo.
- [POSM placement verification](https://meetsteve.io/use-cases/posm-placement-verification): Early access. The right promotional material, on the right product, in the right place.
- [Store and brand compliance](https://meetsteve.io/use-cases/store-compliance): Live. Photo audits against your brand and operating standards.
- [Call script compliance](https://meetsteve.io/use-cases/call-compliance): Live. Disclosures, script steps, and offers verified in every recording.
- [Document data extraction](https://meetsteve.io/use-cases/document-extraction): Live. Forms, invoices, and field documents turned into clean fields.
- [Text and message quality](https://meetsteve.io/use-cases/text-quality): Extraction live. Extract intent and details from messages. Verification is on the roadmap.

## Industries and audiences
- [Loyalty and rewards](https://meetsteve.io/industries/loyalty-programs): Receipt scanning without the fraud, wired into your program.
- [CPG and consumer brands](https://meetsteve.io/industries/cpg-brands): See the shelf and the receipt. Prove execution and reward buyers.
- [Retail and grocery](https://meetsteve.io/industries/retail): Store standards, shelf compliance, and promo verification at scale.
- [Appliances and electronics](https://meetsteve.io/industries/appliances-electronics): Product evidence from showroom displays to warranty registration. Explore model-specific POSM checks.
- [Franchise and QSR](https://meetsteve.io/industries/franchise-qsr): Brand standards verified across every franchisee, every day.
- [Financial services](https://meetsteve.io/industries/financial-services): Disclosures in every call, data from every document.
- [Insurance](https://meetsteve.io/industries/insurance): Claims evidence checked, sales calls verified, fraud caught early.
- [Promotion and loyalty agencies](https://meetsteve.io/industries/agencies): Run receipt campaigns for many brands without a review team per client.
- [Contact centers and BPO](https://meetsteve.io/industries/contact-centers): Script adherence and offer tracking across every agent.

## Articles
- [POSM compliance: the right material on the right product](https://meetsteve.io/blog/posm-compliance-product-placement): How brands can verify POSM against product models, artwork versions, and placement rules, with photo evidence and a practical AI pilot.
- [Sweepstakes and prize draws: how to verify entries](https://meetsteve.io/blog/receipt-lotteries-poland-ocr-verification): How to verify entries for sweepstakes, prize draws, and receipt lotteries: check evidence, apply campaign rules, and resolve exceptions before the draw.
- [Why mystery shopping and field audit companies are adding AI verification, and what it actually catches](https://meetsteve.io/blog/mystery-shopping-ai-photo-verification): Field research runs on photos, receipts, and checklists, and QC checks a sample. What changes when every submission is verified, and where AI helps or does not.
- [AI-generated fake receipts are a promotions problem now, not just an expense-report one](https://meetsteve.io/blog/ai-generated-fake-receipts-promotions): Image models now produce convincing receipts from a prompt. Expense vendors noticed first; cashback and loyalty promotions are the softer target. What still catches them.
- [Receipt fraud detection for loyalty programs and cashback promotions: a field guide](https://meetsteve.io/blog/receipt-fraud-field-guide): Duplicates, altered totals, reprints, screen photos, generated images. The receipt fraud patterns in loyalty and cashback programs, and the check that catches each one.
- [Receipt OCR is not receipt verification. What AI receipt verification adds to a promotion.](https://meetsteve.io/blog/receipt-ocr-vs-receipt-verification): OCR tells you what a receipt says, not whether it qualifies, whether you have seen it before, or whether the total is real. Where extraction stops and verification starts.
- [Franchise compliance audit AI: from a quarterly inspection to every shift, in QSR and retail franchises](https://meetsteve.io/blog/qsr-franchise-compliance-audits-ai): Franchisors audit brand standards a few times a year and see a prepared store. Verifying every shift's photos and invoices shows the store as it actually runs.
- [Receipt verification costs: a model for processing, review, and rejected uploads](https://meetsteve.io/blog/receipt-verification-cost-model): Build a receipt verification cost model using campaign volume, review rate, handling time, integration work, and rejected captures.
- [Proof of purchase versus proof of installation: what each photo can establish](https://meetsteve.io/blog/proof-of-purchase-vs-proof-of-installation): Compare receipts, invoices, serial labels, and installation photos—and avoid asking one image to prove facts it cannot show.
- [Verifying installer claims with an invoice, serial label, and installation photo](https://meetsteve.io/blog/installer-claims-invoice-label-photo): A pilot design for installer incentive claims using purchase documents, product labels, installation photos, rules, and human review.
- [Call script compliance AI: checking every mystery call and every recorded call against the script](https://meetsteve.io/blog/mystery-calls-script-compliance-ai): Mystery calling and call QA both listen to a sample. AI call script compliance checks every recording for the greeting, the disclosure, and the offer, with excerpts.
- [Pet-care loyalty across retailers: the receipt evidence workflow](https://meetsteve.io/blog/pet-care-loyalty-cross-retailer-receipts): How pet-care brands can verify cross-retailer purchases, product variants, pack sizes, and repeat-purchase evidence before loyalty rewards.
- [Merchandising compliance photo verification: proving the display was installed, in every store, from the photo](https://meetsteve.io/blog/posm-installation-proof-photo-verification): Field teams install POSM in thousands of stores and brands check a sample. Photo verification checks every installation against the brief and flags the ones that do not match.
- [Running receipt verification for multiple agency clients](https://meetsteve.io/blog/receipt-verification-multiple-agency-clients): A practical operating model for agencies managing client-specific receipt rules, review queues, integrations, and campaign reporting.
- [From verified receipt to loyalty transaction: retries without duplicate rewards](https://meetsteve.io/blog/receipt-loyalty-api-retries-duplicate-events): Design receipt-to-loyalty delivery so timeouts, retries, reviews, and duplicate events do not award the same purchase twice.
- [Cashback promotion receipt validation: running one buy-anywhere campaign across every retail chain](https://meetsteve.io/blog/cashback-promotions-across-retail-chains): A CPG cashback promotion should work at any store that sells the product. Receipt validation makes that possible without retailer integrations and keeps the payout budget from fraud.
- [Receipt rejection UX: retake, review, or reject?](https://meetsteve.io/blog/receipt-rejection-ux): Design clear receipt-upload outcomes for unreadable evidence, uncertain fields, ineligible purchases, and suspected duplicates.
- [Open Loyalty receipt scanning: verified receipts become points with no review team in the loop](https://meetsteve.io/blog/open-loyalty-receipt-scanning-integration): Open Loyalty receipt scanning: extraction, SKU validation, duplicate and fraud checks in Steve, then campaign rules and points in Open Loyalty.
- [Duplicate invoice claims: what counts as the same purchase?](https://meetsteve.io/blog/duplicate-invoice-claims): Design duplicate checks for invoice-based incentive claims without blocking legitimate repeat purchases or relying on image hashes alone.
- [A clean roof, a cleared gutter, a photo: photo verification for insurer home maintenance rewards](https://meetsteve.io/blog/home-maintenance-photo-verification-insurers): Property insurers can cut water and storm claims by rewarding maintenance. How photo verification rules make home maintenance rewards workable when the only proof is a photo.
- [Invoice verification for contractor and dealer incentive claims](https://meetsteve.io/blog/invoice-verification-contractor-dealer-incentives): A practical workflow for extracting and checking dealer or contractor invoices before an incentive platform approves a claim.
- [Build or buy a receipt verification API? A practical architecture guide](https://meetsteve.io/blog/build-or-buy-receipt-verification-api): Compare building and buying receipt extraction, quality checks, duplicate controls, review operations, webhooks, and loyalty delivery.
- [Receipt-to-SKU matching: abbreviations, bundles, and lookalike products](https://meetsteve.io/blog/receipt-to-sku-matching): How to turn ambiguous receipt line items into defensible product matches for loyalty and promotions, including uncertainty and human review.
- [Insurance loss prevention rewards: paying policyholders to change their tyres, and verifying that they did](https://meetsteve.io/blog/insurance-prevention-rewards-tyre-change): Insurers want fewer claims. A prevention rewards program pays for the winter tyre change or the service visit and verifies each one from a receipt or a photo.
- [How to evaluate receipt verification software: a practical scorecard](https://meetsteve.io/blog/how-to-evaluate-receipt-verification-software): Build a representative receipt test set and measure extraction, product matching, duplicate detection, review load, and decision quality.
- [Receipt scanning loyalty programs for brands: know who buys your product without integrating a single retailer POS](https://meetsteve.io/blog/receipt-based-loyalty-for-manufacturers): Manufacturers sell through retailers and never see the buyer. A receipt scanning loyalty program turns any till receipt into a verified transaction and a known customer.