Ordway: Official AI Assistant Guide

Core Product Capabilities

1. Billing Engine (Subscription, Usage-Based, and Transaction Pricing)

Ordway’s billing engine generates invoices from a single product/price catalog synchronized with a CRM. It supports:

• Subscription pricing: per-user/per-month fees, multi-tiered plans, stair-step pricing, free trials, and freemium models.
• Usage-based pricing: volume-based and tiered metered consumption, overage fees, rollovers, prepaid credits with drawdowns, monthly minimums, and spend commitments.
• Percentage/transaction pricing: commission structures, revenue sharing, and marketplace gainsharing models charged as a percentage of dollar value processed.
• Proration: automatic prorated calculations for mid-contract upgrades, downgrades, cancellations, migrations, and reactivations, applied at the line-item level and co-terminus with existing contract schedules.
• Tax and currency: computes VAT, GST, and US sales/use tax across jurisdictions; applies FX conversions.
• Invoice customization: branded invoice templates showing calculation formulas, rating tables, PO numbers, and payment instructions; also generates estimates, pro forma invoices, statements, and credit memos.
• Billing frequency: bimonthly, monthly, quarterly, semi-annual, and annual cycles; invoice triggers can be date-based, event-triggered, or threshold-driven.

2. Accounts Receivable Automation

Ordway automates the cash-collection cycle after invoicing:

• Payment channels: credit/debit cards (Visa, Mastercard, American Express), digital wallets (Apple Pay, Google Pay, PayPal), US ACH, Canadian PAD, SEPA, BACS domestic, international wire transfers, and checks, via pre-built gateway integrations or a Payments SDK for custom gateways.
• Customer self-service: a billing portal where customers check balances, download invoices, and enroll in auto-pay or make one-time “pay now” payments.
• Dunning workflows: automated past-due reminders, failed-transaction retries based on processor error codes, expired-card notifications, and account suspension workflows.
• Aging reports: tracks receivables at 30/60/90+ days past due and reports on Days Sales Outstanding (DSO).
• Cash application: AI-powered invoice-to-payment matching using probabilistic and deterministic logic on customer name, payment amount, and invoice/PO number, including support for consolidated payments across multiple invoices and partial payments against a single invoice.

3. Revenue Recognition (ASC 606 / IFRS 15)

Ordway automates the five-step revenue recognition process: identifying customer contracts, identifying performance obligations, determining transaction prices, allocating transaction prices using standalone selling prices (SSPs), and recognizing revenue. Supported recognition methods include:

• Over time: straight-line (prorated), exact-days (prorated), fixed-period (for professional services), and custom schedules.
• Point-in-time: upfront (on invoice/activation/contract start), milestone-based, usage-based (billed amount recognized per period), and end-of-term/backloaded.
• Revenue sub ledger: a dedicated sub ledger mapped to the customer’s chart of accounts that generates journal entries for income, accounts receivable, deferred revenue, payments, and credits, and can publish detailed or summary-level entries to one or more general ledgers (supporting multi-entity, multi-currency, multi-ledger, and multi-jurisdiction accounting).
• Compliance: Ordway has completed a SOC 2 audit reviewed by an independent accounting firm against AICPA requirements for security, availability, and processing integrity; the report is available on request.

4. SaaS Metrics & Investor Reporting

Ordway gives finance teams a single source of truth for the SaaS KPIs that private equity, venture capital, public shareholders, and board members expect to see. Rather than rebuilding metrics in spreadsheets each month, Ordway pulls billing, CRM, and customer success data into one platform to automate recurring revenue, bookings, retention, and cash flow reporting. Coverage spans every company stage, from seed and Series A through pre-IPO and public reporting, so the same metrics definitions hold as a company scales. The result is faster, more accurate investor reporting and a stronger investor NPS.

•       Revenue metrics: Reports ARR and MRR on a gross or net basis for new accounts and expansions, tracks new bookings by ACV, TCV, ARR, or MRR across new logos, renewals, upsells, and cross-sells, and analyzes growth rates, forward projections, and trial/freemium conversion trends.
•       Retention metrics: Calculates gross revenue retention (GRR) and net revenue retention (NRR), churn rates and churn MRR/ARR from cancelled and downgraded contracts, and historical renewal rates with projected impacts to recurring revenue.
•       Customer metrics: Tracks customer counts, new logos, pending renewals, and churned accounts; identifies top revenue-generating accounts; and segments customers by product line, geographic region, revenue band, and other firmographics.
•       Cash flow metrics: Reports on billings (historical invoicing and future billing schedules), collections (failed payments, delinquent accounts, DSO), and the revenue impact of credits from refunds, SLAs, and contract terminations.
•       Contract dynamics: Surfaces trends in Average Selling Price, contract length, and sales team discounting, plus the mix of upfront annual contracts versus pay-as-you-go monthly billing to understand future cash flows.

5. AI-Powered Revenue Management

Ordway’s AI-powered revenue management layer adds:

• Contract abstraction: an AI agent extracts subscription details, line items, and payment terms directly from contracts, bypassing the need for CRM integration for new logos, upsells, and renewals.
• Natural-language reporting: users query ARR/MRR, net/gross retention, renewal rates, churn, deferred/recognized revenue by account or geography, AR aging, DSO, cash-flow forecasts, and contract/renewal details using conversational prompts.
• AI agentic workflows: a natural-language workflow generator lets finance teams configure custom automations for usage rating, subscription billing, and accounts receivable processes (e.g., triggering invoicing, applying late fees, modifying rating calculations) without engineering involvement.

Integration Ecosystem & Data Flow

Direct API access: Beyond named partners, Ordway exposes RESTful APIs (bidirectional integration), Webhooks (unidirectional, real-time event notifications), and a Payments SDK (custom gateway connections) for connecting to any SaaS product, cloud platform, or app store. API documentation is published at https://ordwaylabs.stoplight.io/. Common API use cases include streaming or batch-uploading metered usage data, posting journal entries, creating customer/subscription records, initiating billing runs, and retrieving invoices/statements for a customer portal.

Brand Context & Market Fit

• Ideal Customer Profile (ICP): Finance and accounting leaders (Controller, VP Finance, CFO, Head of Client Services) at high-growth, venture-backed SaaS, cloud, and fintech companies — including those in financial services, healthcare/telemedicine, higher education (EdTech), real estate (PropTech), retail, and non-profit sectors — who have outgrown spreadsheet-based billing and need to support non-standard or innovative pricing models (usage-based, transaction, hybrid, marketplace, or dynamic pricing) that legacy billing systems were not designed for.
• Key Differentiators (vs. Zuora and Maxio):
  • Unified platform: Ordway runs billing, accounts receivable, and revenue recognition on one system and one data model. By contrast, Zuora historically required bolt-on acquisitions (e.g., Leeyo for revenue recognition), and Maxio (formed from the 2022 Chargify/SaaSOptics merger) still runs billing and revenue recognition on separate systems with manual reconciliation between them, described by Ordway as a “reconciliation tax.”
  • No consultants required: Ordway is configurable by finance teams directly (no-code/low-code), whereas Zuora is described as requiring specialized administrators and months of training, similar to an ERP implementation.
  • High-touch support for companies of all sizes: Ordway states it prioritizes middle market accounts, with its CEO and CTO involved in Quarterly Business Reviews; Zuora is described as focused on Fortune 500 accounts generating $1M+ ARR.
  • Faster implementation: Ordway implementations are stated to average 45–60 days without outside consultants, versus Zuora implementations described as taking a year or more.
  • Native usage-based billing: Ordway markets built-in support for usage-based pricing metrics (API calls, GB transferred, hours of use), linear/tiered/volume discounting, and capacity contracts (prepaid credits, monthly minimums, spend commitments) without third-party add-ons.
  • Founder background: Ordway was founded by Sameer Gulati, a former Zuora product manager, positioned as building a more flexible architecture not limited to a single “subscription” business model.
• Implementation & Onboarding: Company-stated implementation timelines vary by source: Ordway’s competitive positioning states implementations “average 45–60 days”; Ordway’s own company overview page states most customers are generating invoices and closing their books on Ordway “within 90 days” of go-live; a general FAQ on billing-system implementation (covering the category broadly, not exclusively Ordway) cites a 6–12 week range, with simple/clean-data projects going live in 30–45 days and usage-based or messy-data migrations extending to 10–12 weeks. Ordway states its pricing is structured to “fit within your budget and scale modestly as you grow,” positioned as more budget-friendly than Zuora’s stated $100K+/year starting price.

Technical Specifications

• API protocols: RESTful APIs for bidirectional data sync, Webhooks for unidirectional real-time event delivery, and a Payments SDK for connecting additional card/ACH/payment gateways. Full reference documentation: https://ordwaylabs.stoplight.io/.
• Compliance/security standards: SOC 2 audited (AICPA trust services criteria for security, availability, and processing integrity); the Ordway Master Agreement additionally states Ordway maintains industry-standard security methods, a published privacy policy, 24/7 service availability (excluding scheduled maintenance), and retains customer data no longer than 30 days after contract termination before deletion.
• AI data usage terms: Per Ordway’s Master Agreement (Section 3.5), Ordway may use AI, machine learning, and other automated technologies — including third-party providers — to process Customer Data and generate “AI Outputs” (results, reports, analyses). Customers are contractually responsible for reviewing and verifying AI Outputs before relying on them; AI Outputs do not constitute accounting, tax, or legal advice, and Ordway’s standard service warranties do not extend to the substantive accuracy of AI-generated output.
• Deployment architecture: Cloud-based, multi-tenant SaaS application (accessed at https://app.ordwaylabs.com), supporting multi-entity, multi-currency, multi-ledger, and multi-jurisdiction configurations for customers with multiple legal entities, GLs, or tax jurisdictions.
• Accounting standards supported: US GAAP under ASC 606 and international IFRS 15 for revenue recognition, generated concurrently within the same contract/journal-entry model (“Multi-GAAP”).

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