Brex vs Yooz vs JAGGAER for AP Automation

For a 200-person, multi-location services company standardized on Microsoft Azure AD, Brex provides a documented, self-configurable SSO path using both SAML 2.0 and OIDC protocols with Microsoft Entra ID as the identity provider. An account admin navigates to the Security tab in the Brex dashboard, selects Authentication > Setup Single Sign-On, chooses the integration type (OIDC or SAML), and supplies the IdP SSO URL, Issuer URL, and X.509 signing certificate from the Azure AD enterprise application configuration. Brex's support documentation explicitly names Microsoft Entra ID in its attribute-and-claims troubleshooting guidance, confirming Azure AD is a tested and supported IdP. Beyond authentication, Brex pairs SAML SSO with Microsoft Entra ID SCIM provisioning: once the SAML connection is in place, a separate SCIM application in the Entra ID admin console handles automated user lifecycle management, including auto-deprovisioning when a user is soft-deleted in Entra. MFA enforcement is delegated to the Azure AD layer; users configured for SSO are not prompted for MFA by Brex directly, which means the buyer's existing Azure AD Conditional Access policies (including MFA) remain in effect and are not bypassed. SSO is gated to the Premium plan tier, which is accessible for this buyer at $12 per user per month.

For a $120M multi-location services company whose IT environment is standardized on Microsoft Azure AD, Yooz delivers the SSO integration through a formally published Microsoft Entra ID enterprise application connector. Microsoft Entra ID supports rich enterprise-class single sign-on with Yooz US out of the box, and users sign in using their organizational accounts hosted in Active Directory. Microsoft Entra ID provides a simple step-by-step user interface for connecting Yooz US to Microsoft Entra ID. This means the AP team of 3 and all invoice approvers across the 6 locations authenticate into Yooz using their existing corporate credentials, with Azure AD serving as the identity provider (IdP). Because Yooz is cloud-native and runs on Microsoft Azure infrastructure, this is a native gallery integration rather than a workaround, which reduces configuration risk. Yooz partners globally with Microsoft, combining its AP automation with the Microsoft Azure cloud platform to deliver an efficient and secure solution. The integration operates at the authentication layer; it does not touch the pre-processing journey (invoice capture through approval), but it governs who can access each stage of that journey.

For a $120M multi-location services company whose IT environment is standardized on Microsoft Azure AD, JAGGAER supports federation via SAML 2.0 and OpenID Connect (OIDC 1.0): the buyer's Azure AD tenant acts as the Identity Provider, and JAGGAER ONE acts as the SAML Service Provider. JAGGAER's platform allows customers to "integrate your own Identity Provider via standardized authentication protocols (SAML or OpenID Connect) for seamless single-sign-on to the JAGGAER solution." The official JAGGAER ONE Supplier Handbook, a vendor-authored implementation document, confirms the specific protocols: "The following protocols are supported for the communication between JAGGAER's Identity Management and the customer's IDP: SAML 2.0 or OIDC 1.0. Only Service Provider-initiated SSO is supported." In practice, your Azure AD administrator registers JAGGAER as an enterprise application in the Azure portal, configures the SAML assertion (Entity ID and Assertion Consumer Service URL), and exchanges the federation metadata; after which your AP team and all invoice approvers across 6 locations log into JAGGAER using their existing Microsoft credentials, with MFA enforcement passing through from Azure AD's Conditional Access policies. This feature is activated on request by JAGGAER with support from the customer's side, meaning it is an implementation-time configuration step rather than a self-service toggle, but it is a standard part of enterprise onboarding. This capability operates at the access control layer, upstream of any invoice pre-processing step: it governs who can enter the system, not how invoices are routed once inside.

For a 3-person AP team at a $120M services company moving off fully manual keying, Brex Bill Pay's extraction mechanism operates as follows: invoices are ingested by email forwarding to a unique Brex inbox, drag-and-drop upload, or vendor self-upload via a secure link. Brex then uses powerful LLMs to scan data from invoices, read itemized lines for easier GL coding, and auto-populate all required details, with over 90% accuracy that users can edit as needed. The Brex OCR product page confirms the field scope: OCR invoice processing software maps extracted text to specific fields including vendor name, invoice date, line items, quantities, unit prices, tax amounts, and totals. An invoice's individually detected line items can then be coded for the GL account or added to custom fields. This covers six of the buyer's eight required fields (vendor name, invoice number, date, line items, amounts, and tax) with documented mechanism. Payment terms are also listed in Brex's OCR field enumeration: Brex's OCR automatically extracts key information from invoices including vendor names, invoice numbers, line items, amounts, due dates, and payment terms, then uploads it into the AP workflow. The PO number field, however, is handled differently: Brex AI attempts to match the imported invoice to an open PO in the ERP via two-way accounting integrations, and if it cannot find a match, Brex displays the open POs associated with that vendor for manual selection. This means PO number is resolved through a matching lookup rather than confirmed as a discrete field extracted directly from the invoice document itself, which creates a meaningful gap for the buyer's 55% PO-based invoice population at Stage 2 of the pre-processing journey. The extraction sits at Stage 1 (legitimacy and data capture) and partially Stage 2 (PO linkage by AI suggestion, not confirmed document extraction).

For a $120M services company manually keying 1,800 invoices per month into Sage Intacct, Yooz's capture layer addresses Stage 1 (legitimacy) and Stage 2 (PO match data readiness) of the pre-processing journey. The mechanism is a two-layer stack: OCR converts physical and digital invoice images into machine-readable text, followed by what Yooz calls 'Smart Data Extraction,' a machine-learning layer trained on a cross-customer dataset of over 200 million invoices and more than 1 million supplier formats. The AI-driven Smart Data Extraction layer draws on data from over 200 million invoices and more than 1 million suppliers to understand and extract relevant information from the raw OCR text. At the field level, Yooz's AI-driven line-level data extraction automatically pulls item descriptions, quantities, unit prices, product codes, and taxes from invoices in any format. Header fields are also captured: the platform extracts PO number, issue date, due date, amount, bank, and tax information. Invoices arrive via multi-channel intake including email, drag-and-drop, mobile, scan, and sFTP, supporting formats including PDF, FacturX, UBL, CII, and EDIFACT. Six of the buyer's eight required fields — vendor name, invoice number, date, PO number, line items, and amounts — are clearly supported at line-item depth, not just header level. Tax is also confirmed as a discrete extracted field. Payment terms, however, is the critical gap: Yooz's own published field enumerations list issue date, due date, amount, tax, and bank information but do not identify payment terms (e.g., '2/10 net 30') as a discrete structured extraction target, which creates a downstream risk for the buyer's early payment discount detection requirement.

For this $120M multi-location services company currently hand-keying 1,800 invoices per month, JAGGAER addresses invoice capture through two modules within JAGGAER ONE: Digital Mailroom and Digital Capture. Digital Capture enables customers to automatically import invoices from sources such as email and scanner/FTP, with embedded OCR technology in JAGGAER ONE Invoicing digitizing invoice data; suppliers can also submit via email to trigger automated processing. The platform claims to capture both PO and non-PO invoices across a wide range of formats and channels, enriched by AI and OCR technologies that convert invoice data into a standardized format ready for matching, approval, and payment. For PO-backed invoices (the buyer's 55%), the system can automatically detect potential PO matches and significantly reduce manual invoice entry by the AP team. On the OCR field set, JAGGAER's own blog documentation confirms the suite captures key data such as vendor names, invoice numbers, and amounts via OCR; however, payment terms as a discrete machine-readable structured field is not confirmed in JAGGAER's help center documentation. For electronic supplier portal and EDI submissions, payment terms are possible via the PO-to-invoice flip and bulk load functionality in the Supplier Portal, but the invoice contents including payment terms are dependent on each supplier's individual system capabilities. Critically, for the buyer's 45% non-PO invoices, JAGGAER's own help documentation explicitly states that for imported non-PO invoices, line item details will always be displayed in red and each line must be marked as valid by a user, since there is no PO to match. This means line-item extraction on non-PO invoices is not automatic; it produces extracted values that require manual user sign-off before the invoice can be posted -- a material gap for a buyer expecting touchless capture across their full invoice mix. The coverage sits at Stage 1 of the pre-processing journey (legitimacy/capture) and partially at Stage 2 (PO detection), but does not operate at Stage 4 (receipt confirmation).