Brex vs Esker vs Vic.ai for AP Automation

For a $120M services company routing invoice data, vendor PII, and payment records through Brex's AP and bill pay platform, encryption is applied at the infrastructure layer across all data states. Brex's trust page specifies AES-256 bit encryption for RDS and S3 data at rest and TLS 1.2 or better for all data in transit over HTTPS. This covers invoice images captured during intake, GL coding data written to Brex's database, approval workflow payloads transmitted between approvers, and the ERP sync payloads sent to your two Sage Intacct entities. Brex holds SOC 1 Type II, SOC 2 Type II, and PCI-DSS certifications, and fulfills compliance requirements from FINRA, IT General Controls, and the NY Department of Financial Services. The Trust Center additionally enumerates disk encryption as a documented platform control, consistent with the AES-256 at-rest claim. This security posture applies to the entire Brex platform, including the bill pay and AP automation modules; it is not scoped to card or banking features only.

For a $120M services company moving 1,800 invoices per month through Esker's cloud platform, invoice images, financial records, and vendor PII are protected by two distinct encryption layers. At rest, Esker documents disk-level encryption using BitLocker and DM-Crypt across its cloud infrastructure, which safeguards stored invoice data, document attachments, and database contents from both environmental and access threats. Esker's published cloud infrastructure documentation specifies "Disk Encryption at rest and based on BitLocker and DM-Crypt," noting this safeguards data from both environmental as well as access threats. In transit, Esker hosts its platform in a secure server environment using firewalls and intrusion detection systems, and explicitly uses Secure Socket Layer technology to encrypt Personal Information when it is sent on Esker's systems. These transport and storage controls are independently verified: Esker holds ISO 27001 certification, with an annual in-depth audit by an independent third-party auditor validating its security management effectiveness, alongside SOC 1 Type 2 and SOC 2 Type 2 certifications (SSAE 18 and ISAE 3402) that certify the quality and integrity of its internal control procedures. Esker has achieved ISO 27001:2013 certification for its ISMS of on-demand services, the internationally recognized standard certifying that the company's ISMS protects its data and that of its customers, giving cloud solution customers confidence that their data is safe, properly controlled, and that security best practices are in place. Esker regularly undergoes independent verification of its security, privacy and compliance controls to support customer regulatory and policy objectives.

For a $120M services company processing 1,800 invoices per month across two Sage Intacct entities, every piece of invoice data, vendor PII, and financial record that flows through Vic.ai is protected at both the transport and storage layers. In transit, all data entering or leaving the Vic.ai platform is encrypted using HTTPS/TLS with the strongest available libraries, including SHA-256 and modern TLS standards. At rest, data is encrypted using AES-256 and FIPS-validated encryption at the storage layer, and encryption keys are regularly rotated. The underlying infrastructure reinforces these controls: AWS provides built-in redundancy, encrypted storage services including Amazon S3 and PostgreSQL-backed databases, and multiple Availability Zones for resilience and failover. These controls are independently validated: Vic.ai maintains SOC 1 Type II and SOC 2 Type II certifications and follows strict encryption, role-based access, and data-governance controls that align with industry requirements. Additionally, Vic.ai also follows an ISO 27001 framework, which documents the organization's encryption policies at the management-system level. This encryption posture operates transparently across the entire pre-processing journey; invoice images captured via email or mail, PO and receipt data pulled during 3-way matching, approval routing payloads, and the final sync to Sage Intacct are all covered under the same encryption envelope.

For a $120M multi-location services company whose Controller and CFO need regular AP reporting in consumable formats, Brex delivers on the export half of this requirement but not the scheduling half. From the Brex Accounting tab, admins can download transactions in .csv, .xlsx, or .txt format, and the Reports module allows users to build custom spend reports and export them as XLSX, CSV, PDF, HTML, or TXT with a single click. Specifically, the help center confirms that 'clicking Download on either a live spend report or a saved copy lets you export your custom report as an XLSX, CSV, PDF, HTML, or TXT file.' However, across all Brex help center documentation reviewed, every export is a manual pull: the user navigates to the dashboard, applies filters, and clicks Download. No native scheduled delivery mechanism, no report subscription feature, and no automated email cadence to named recipients (Controller, CFO) is documented anywhere in Brex's support articles. The only path to automation is via Brex's Workato or Zapier connection, which can 'set up custom transaction or payment alerts via any system — like email, Slack, Microsoft Teams, and WhatsApp' — but this requires third-party automation configuration and produces transactional alerts, not formatted AP aging or spend summary reports.

For this $120M services company whose Controller and CFO currently receive no automated AP reporting, Esker provides role-stratified AP dashboards with differentiated KPI sets for each finance stakeholder: CFOs receive insights into organizational spend overview, AP cash flow, AP process metrics, and Days Payable Outstanding, while AP Managers see spend visibility, spend by category, accrual reporting, payment KPIs, and process efficiency. The underlying dashboard layer is customizable: when a company automates AP with Esker's cloud solution, received invoices are made 100% visible and accessible via built-in dashboards, and users can choose what KPIs are displayed on their interface. On the export side, Esker references the ability to pull AP performance data out of the platform: AP team processing performance and company cash flow can be tracked with real-time monitoring displayed on customizable dashboards and easily exportable as reports — though no Esker help-center documentation found in research confirms the export format is specifically Excel (as opposed to PDF or CSV), nor does any source document a scheduled outbound email delivery mechanism that pushes reports to named recipients such as the Controller or CFO on a defined cadence. The Esker Anywhere mobile app extends dashboard visibility: the Esker Anywhere mobile app enables managers to review and approve supplier invoices and track KPIs whether they are on the go or working remotely. The material ceiling for this buyer is that the documented mechanism is dashboard access within the platform UI, with generic export referenced but Excel format unconfirmed, and no scheduled push-to-inbox delivery mechanism found in any Esker documentation reviewed.

For a $120M services company whose Controller and CFO need regular AP reporting without logging into the platform, Vic.ai's VicAnalytics module provides the primary mechanism. The platform is structured across three analytics tiers: Standard, Advanced, and Premium. The Premium tier, marketed as 'Premium Analytics,' is the only tier that explicitly includes raw data exports alongside custom reports, as documented on the VicAnalytics product page. The AWS Marketplace listing for Vic.ai further confirms 'customizable dashboards and data export capabilities' and the ability to 'export raw data files for bespoke analysis.' The fact sheet's supporting tier confirms VicAnalytics delivers 'always-on performance insights across invoice workflows, team productivity, and business entities,' and the CFO and Controller pages position the platform as providing real-time visibility for those roles. However, no documentation found in any source confirms: (1) that exports are specifically in Excel format rather than raw CSV or another format, or (2) that a scheduled delivery mechanism exists to push reports to named recipients like the Controller or CFO via email on a defined cadence. The buyer's requirement includes both dimensions: export format and automated scheduled delivery. Only the export side has partial evidence; the scheduling layer has none.

This $120M services company runs bi-weekly check runs and needs a structured check issuance file delivered to Bank of America's positive pay system after each run, a specific fraud-prevention output that is entirely separate from payment execution itself. Esker's S2P payment module confirms that check payments are a supported disbursement method alongside ACH, wire, and credit card, and the platform includes bank account verification and fraud detection controls via Fintech partnerships. However, no Esker product page, help center article, or documentation surfaced in three targeted searches documents a positive pay file generation feature: no configurable bank format templates, no fixed-width or CSV issuance file export, and no Bank of America-specific format preset. Esker's own blog post on check fraud prevention recommends centralizing processes, adopting electronic payments, and automating supplier management as its three protective mechanisms, with no mention of positive pay file output as a control.

This buyer runs bi-weekly check runs and needs a Bank of America-formatted positive pay file generated after each run so the bank can match every issued check number, amount, payee, and date before clearing. Brex Bill Pay does support outgoing check payments: checks are printed and mailed by Brex within two business days of approval. However, Brex's documented bill pay payment methods are one-time virtual card, ACH, domestic wire, international wire, and mailed check — with no positive pay file export, no structured issuance file builder, and no bank-format template (BAI, CSV, fixed-width, or otherwise) documented anywhere in Brex's help center or product documentation. Brex's own educational content on positive pay explicitly frames the concept as a traditional banking service and positions Brex's card-based real-time controls as a complementary fraud prevention approach, not as a tool that generates positive pay files. There is no mechanism in Brex that produces the check register output Bank of America requires.

This $120M multi-location services company currently runs bi-weekly check runs through Bank of America and requires a positive pay issuance file submitted to BofA for check fraud prevention. Vic.ai's payment module, VicPay, operates on its own proprietary payment rails and routes all disbursements through a secure Vic.ai funding account rather than through the buyer's BofA operating account. Vic.ai's official product documentation and press materials state explicitly that this architecture is designed to remove the need for positive pay files: the VicPay data sheet describes 'no positive pay file required — payments processed through a secure funding account,' and the Q2 2025 VicPay launch announcement confirms that 'payments are processed through a secure funding account, removing the need for positive pay files and eliminating exposure from customer operating accounts.' No native positive pay file export, configurable bank format template, or BofA-specific file builder is documented anywhere in Vic.ai's help center, product pages, data sheets, or release notes. The fraud mitigation Vic.ai proposes is a substitute mechanism: routing away from paper checks toward ACH and virtual cards, which Vic.ai markets as eliminating check fraud risk by design. That substitution is architecturally incompatible with the buyer's requirement, which is a formatted issuance file transmitted to BofA alongside an ongoing check run workflow.

For a 3-person AP team processing 1,800 invoices per month across two Sage Intacct entities, Esker's exception management operates at stage 2 (PO matching) and stage 4 (receipt confirmation) of the pre-processing journey. When a PO-based invoice arrives, Esker enables seamless three-way matching of purchase orders, receipts, and invoices with full audit trails and automated approvals, which is the mechanism that surfaces missing-receipt and quantity/price variance exceptions. Esker's own process documentation explicitly names the discrete exception categories produced by this matching step: exception handling covers duplicate, price/quantity mismatch, and block/forward for approval or further processing, while automatic verifications for possible duplicates of vendor information, taxes, and invoice balance are checked against master data, and 3-way match verification automatically checks for corresponding POs and goods receipts when a PO-related invoice arrives. For non-PO invoices (the buyer's 45% utilities, subscriptions, and insurance), the Esker solution performs exception handling such as checking whether the invoice is a duplicate, if discounts apply, or if the invoice needs to go through an approval process. Exceptions that survive validation are blocked and routed electronically: if an exception such as price/quantity mismatch occurs, the invoice can be blocked for payment pending validation and approval via an electronic workflow that can be set up to go through one or several users. Business rules and matching logic are applied to support invoice review and exception handling, and AI-powered validation and matching reduce manual review needs, yielding 70%+ fewer exceptions.

For a 3-person AP team processing 1,800 invoices per month across two Sage Intacct entities, the buyer needs a structured exception triage system that automatically labels each flagged invoice with a discrete reason code so staff can work exceptions by category rather than diagnosing each one individually. Brex's Bill Pay module delivers two documented exception-detection capabilities: duplicate detection using machine learning that flags invoices with similar amounts, dates, vendor IDs, and numbers before payment, and a PO-matching step where the AI attempts to link each imported invoice to an open PO pulled from the connected ERP via two-way integration. If no PO match is found, Brex surfaces the open POs for that vendor for manual selection rather than assigning a labeled 'missing PO' exception. Beyond these two mechanisms, the evidence base does not support the remaining four exception categories the buyer requires: price variance and quantity variance are acknowledged in Brex blog content as discrepancy types AP teams must investigate, but no Brex product documentation describes configurable tolerance thresholds or a labeled variance exception queue surfaced in the AP worklist; missing receipt flagging in Brex applies to corporate card expense receipts (photo-based), not to goods receipt or receiving-document confirmation in a warehouse or project context, meaning stage 4 of the pre-processing journey (receipt confirmation for 3-way matching) is absent from the product; and vendor mismatch detection, while Brex does sync vendor names to ERP records, produces no documented exception label distinguishing a vendor name discrepancy from other bill failures. The matching architecture is explicitly 2-way (PO vs. invoice), not 3-way, which means the 55% of PO-based invoices in this buyer's mix cannot be confirmed against goods receipts through Brex. The 45% non-PO invoices have no matching framework at all: PO is an optional field in the Bill Pay form, so no missing-PO flag is enforced on invoices that arrive without one.

For a 3-person AP team processing 1,800 invoices monthly across two Sage Intacct entities, Vic.ai's APSuite detects several of the buyer's six required exception categories through its AI matching engine. The platform explicitly flags missing or closed POs, quantity violations, and mismatched line items during its autonomous PO matching stage (pre-processing stage 2 and 3), and separately detects duplicate invoices at ingestion. The AI detects and flags issues like missing or closed POs and quantity violations, and mismatched line items are automatically flagged for review, streamlining approval flows and exception handling. Precise error detection identifies discrepancies at the line-item level and provides an explanation and location of the rule violation for faster resolution. Vic.ai proactively flags discrepancies such as duplicate invoices or problems with a PO to help AP team members prioritize where to spend their time. For 3-way matching, once an invoice has been ingested, Vic.ai extracts the relevant data, automatically matches the invoice with the purchase order, links each cost line on the invoice with the corresponding PO line using three-way matching, and if the PO, goods receipt note, and invoice match, processes it automatically without the need for human revision -- meaning a missing receipt surfaces as a 3-way match failure. However, Vic.ai's core philosophy repositions exception handling away from discrete labeled category queues: exceptions occur when a rule is broken, which is a binary pass-or-fail approach where failures go into an exception queue; with AI, Vic.ai takes a different approach by leveraging accuracy rather than rule-based category labels. The practical gap is that while the individual detection mechanisms for price/quantity variance, missing PO, missing receipt, and duplicates are documented, there is no evidence of a structured exception worklist that surfaces the buyer's six categories as discrete, separately labeled buckets (e.g., a 'PRICE VARIANCE' queue distinct from a 'QUANTITY VARIANCE' queue). Vendor mismatch detection is referenced generically as supplier information discrepancies but is not confirmed as a named, standalone exception category.