BlackLine Recognized in Report on Top AI Use Cases for Accounts Receivable Automation in 2025
BlackLine (Nasdaq: BL) has been recognized in Forrester's Report on Top AI Use Cases for Accounts Receivable Automation in 2025, highlighting the company's capabilities in three key areas: Collection Management, Explainability and Transparency, and Model Bias and Inaccuracy.
The report emphasizes BlackLine's approach to training AI models with diverse data sets and continuous monitoring of prediction accuracy through human reviews. The company's AR Intelligence solution is specifically noted for its ability to forecast invoice payments and provide transparent AI outputs through visualizations and dashboards.
BlackLine's technology aims to help organizations reduce days sales outstanding (DSO), improve working capital performance, and increase cash forecasting accuracy while maintaining transparency in AI-generated insights. The company's future focus includes automating preparer and collector roles while enhancing reviewer and approver functions.
BlackLine (Nasdaq: BL) è stata riconosciuta nel Rapporto di Forrester sui principali casi d'uso dell'IA per l'automazione della gestione dei crediti nel 2025, evidenziando le capacità dell'azienda in tre aree chiave: Gestione delle Riscossioni, Spiegabilità e Trasparenza, e Pregiudizio e Inaccuratezza del Modello.
Il rapporto sottolinea l'approccio di BlackLine nel formare modelli di intelligenza artificiale con set di dati diversificati e nel monitorare continuamente l'accuratezza delle previsioni attraverso revisioni umane. La soluzione AR Intelligence dell'azienda è particolarmente nota per la sua capacità di prevedere i pagamenti delle fatture e fornire output IA trasparenti attraverso visualizzazioni e dashboard.
La tecnologia di BlackLine mira ad aiutare le organizzazioni a ridurre i giorni di vendita non incassati (DSO), migliorare le performance del capitale circolante e aumentare l'accuratezza delle previsioni di cassa mantenendo la trasparenza nelle intuizioni generate dall'IA. Il focus futuro dell'azienda include l'automazione dei ruoli di preparatore e riscuotitore, migliorando nel contempo le funzioni di revisore e approvatore.
BlackLine (Nasdaq: BL) ha sido reconocida en el Informe de Forrester sobre los Principales Casos de Uso de IA para la Automatización de Cuentas por Cobrar en 2025, destacando las capacidades de la empresa en tres áreas clave: Gestión de Cobros, Explicabilidad y Transparencia, y Sesgo e Inexactitud del Modelo.
El informe enfatiza el enfoque de BlackLine para entrenar modelos de IA con conjuntos de datos diversos y el monitoreo continuo de la precisión de las predicciones a través de revisiones humanas. La solución AR Intelligence de la empresa se destaca por su capacidad para predecir los pagos de facturas y proporcionar salidas de IA transparentes a través de visualizaciones y paneles de control.
La tecnología de BlackLine tiene como objetivo ayudar a las organizaciones a reducir los días de ventas pendientes (DSO), mejorar el rendimiento del capital de trabajo y aumentar la precisión de las previsiones de efectivo mientras mantiene la transparencia en los conocimientos generados por IA. El enfoque futuro de la empresa incluye la automatización de los roles de preparador y cobrador, al mismo tiempo que se mejoran las funciones de revisor y aprobador.
블랙라인 (Nasdaq: BL)은 2025년 채권 자동화를 위한 주요 AI 사용 사례에 대한 포레스터 보고서에서 인정받았으며, 회사의 세 가지 핵심 분야인 수금 관리, 설명 가능성 및 투명성, 모델 편향 및 부정확성을 강조했습니다.
보고서는 블랙라인이 다양한 데이터 세트를 사용하여 AI 모델을 훈련시키는 접근 방식과 인간 리뷰를 통한 예측 정확도의 지속적인 모니터링을 강조합니다. 회사의 AR 인텔리전스 솔루션은 송장 지급 예측 및 시각화 및 대시보드를 통해 투명한 AI 출력을 제공하는 능력으로 특히 주목받고 있습니다.
블랙라인의 기술은 조직이 매출 채권 일수(DSO)를 줄이도록 도와주고, 운전 자본 성과를 개선하며, AI가 생성한 통찰력의 투명성을 유지하면서 현금 예측 정확성을 높이는 것을 목표로 합니다. 회사의 미래 초점은 준비자 및 수금자 역할의 자동화와 검토자 및 승인자 기능의 향상입니다.
BlackLine (Nasdaq: BL) a été reconnue dans le Rapport de Forrester sur les principaux cas d'utilisation de l'IA pour l'automatisation des comptes clients en 2025, mettant en avant les capacités de l'entreprise dans trois domaines clés : Gestion des Recouvrements, Explicabilité et Transparence, et Biais et Inexactitude des Modèles.
Le rapport souligne l'approche de BlackLine pour former des modèles d'IA avec des ensembles de données diversifiés et le suivi continu de la précision des prédictions grâce à des examens humains. La solution AR Intelligence de l'entreprise est particulièrement remarquée pour sa capacité à prévoir les paiements de factures et à fournir des sorties d'IA transparentes via des visualisations et des tableaux de bord.
La technologie de BlackLine vise à aider les organisations à réduire les jours de ventes en attente (DSO), améliorer la performance du fonds de roulement et augmenter la précision des prévisions de trésorerie tout en maintenant la transparence des informations générées par l'IA. L'accent futur de l'entreprise inclut l'automatisation des rôles de préparateur et de collecteur tout en améliorant les fonctions de réviseur et d'approbateur.
BlackLine (Nasdaq: BL) wurde im Forrester-Bericht über die wichtigsten Anwendungsfälle von KI für die Automatisierung von Forderungen im Jahr 2025 anerkannt und hebt die Fähigkeiten des Unternehmens in drei Schlüsselbereichen hervor: Forderungsmanagement, Erklärbarkeit und Transparenz sowie Modellverzerrung und Ungenauigkeit.
Der Bericht betont den Ansatz von BlackLine, KI-Modelle mit vielfältigen Datensätzen zu trainieren und die Vorhersagegenauigkeit kontinuierlich durch menschliche Überprüfungen zu überwachen. Die AR Intelligence-Lösung des Unternehmens wird besonders für ihre Fähigkeit hervorgehoben, Rechnungszahlungen vorherzusagen und transparente KI-Ausgaben durch Visualisierungen und Dashboards bereitzustellen.
Die Technologie von BlackLine zielt darauf ab, Organisationen zu helfen, die ausstehenden Forderungstage (DSO) zu reduzieren, die Leistung des Betriebskapitals zu verbessern und die Genauigkeit der Cashflow-Prognosen zu erhöhen, während die Transparenz der KI-generierten Erkenntnisse gewahrt bleibt. Der zukünftige Fokus des Unternehmens umfasst die Automatisierung von Vorbereiter- und Inkassorollen sowie die Verbesserung von Überprüfungs- und Genehmigungsfunktionen.
- Recognition by Forrester in three essential AR automation categories
- AR Intelligence solution demonstrates proven capabilities in payment forecasting and collection management
- Technology helps reduce DSO and improve working capital performance
- None.
Recognized by leading independent research firm for addressing model bias and inaccuracy—key to enabling verifiable, user-controlled AI for the Office of the CFO
LOS ANGELES, April 09, 2025 (GLOBE NEWSWIRE) -- BlackLine, Inc. (Nasdaq: BL), has been recognized in the recently published Forrester Report: Top AI Use Cases for Accounts Receivable Automation in 2025. The report highlights key areas where artificial intelligence is transforming the accounts receivable (AR) function, with BlackLine cited for its capabilities in three essential categories: Collection Management, Explainability and Transparency, and Model Bias and Inaccuracy.
According to the report,
“BlackLine trains AI models with diverse data sets to minimize bias and continuously monitors prediction accuracy, with human reviews to ensure performance.”
“Finance & accounting leaders want AI they can trust—not just to automate workflows, but to enhance judgment, reduce risk, and ensure data integrity,” said Charlie Gaulke, SVP of Product Management at BlackLine. “For us, being recognized for mitigating model bias and increasing accuracy reflects our commitment to delivering responsible, explainable, and user-controlled AI—grounded in the real-world needs of the Office of the CFO.”
The Forrester report also recognized BlackLine’s AR Intelligence solution in the following areas:
- Collection Management: “BlackLine’s AR Intelligence forecasts invoice payments, enabling proactive collection.”
- Explainability and Transparency: “BlackLine provides visualizations, dashboards, and interfaces to help users understand AI outputs, using interpretable models and explainable AI techniques for transparency.”
BlackLine’s AR Intelligence applies machine learning to help organizations reduce days sales outstanding (DSO), improve working capital performance, and increase the accuracy of cash forecasting—while maintaining full transparency into how AI-generated insights are produced and validated.
“Our vision is to bring autonomous finance to every company in the world,” said Jeremy Ung, Chief Technology Officer at BlackLine. “That means using AI not just to automate tasks, but to elevate human judgment—so people become exception handlers and reviewers, while AI handles the heavy lifting. In the year ahead, we’re focused on automating the preparer and collector roles and augmenting the reviewer and approver. It’s part of our broader mission to deliver agentic, explainable, and high-impact AI use cases that move the Office of the CFO toward faster, smarter, and more trusted financial operations.”
The Forrester: Top AI Use Cases for Accounts Receivable Automation in 2025 report, authored by Meng Liu and contributors, was published on March 14, 2025. It provides a roadmap for finance and technology leaders seeking to adopt AI in AR processes more effectively.
To learn more about BlackLine’s AI solutions, visit: https://www.blackline.com/why-blackline/blackline-ai/
MEDIA CONTACT:
Samantha Darilek
VP, Communications
P. 877-777-7750
E: samantha.darilek@blackline.com
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