AI-Powered Payments Orchestration Intelligence

This page was prepared for Barry McKeon, Staff Architect at Spreedly, and for Spreedly’s VP Engineering.

Built for Open Payments Platforms

Spreedly operates an open payments platform that tokenizes payment methods, connects merchants to roughly 200 payment providers, and distributes vaulted card data to receivers across the ecosystem. Every merchant integration requires navigating dense gateway documentation, configuring intelligent routing and retry logic, monitoring authorization performance, and maintaining institutional knowledge across a rapidly evolving payments landscape.

The challenge: Generic business intelligence tools weren’t built for payments orchestration. Managing universal tokenization, routing rules, automatic retry on declines and outages, and payment method distribution across hundreds of providers creates a knowledge problem that off-the-shelf CRM and support tools can’t solve.

CodeMiner’s solution: An AI-powered intelligence system purpose-built for payments platforms, with capabilities spanning integration documentation, merchant relationship intelligence, routing optimization learning, and operational workflow automation.

System Capabilities

1. Gateway & Integration Documentation Intelligence

The problem: Spreedly connects to 200+ payment gateways, processors, and receivers — each with different API schemas, supported card brands, regional constraints, required fields, and certification requirements. Gateway fact sheets, developer documentation, and integration runbooks are dense, inconsistent, and scattered across internal wikis, support systems, and partner portals.

What CodeMiner does:

• Automated extraction from gateway fact sheets, API documentation, and integration guides — normalized field mappings, supported payment methods, regional availability
• Capability standardization across providers — compare auth rate features, network token support, 3DS requirements, and decline code handling side by side
• Gap detection — automatically identify missing certifications, incomplete gateway configurations, or undocumented field requirements before merchant go-live
• Quality scoring — flag stale documentation, conflicting integration notes, or gateway deprecations that affect live merchant configurations

Real-world application:

• Onboard new gateway connections without re-reading hundreds of pages of documentation
• Answer “Does gateway X support network tokens for Amex in Canada?” instantly
• Identify which merchants are affected when a gateway deprecates an API endpoint
• Standardize integration checklists across Connect, Vault, Protect, Optimize, and Resolve product lines

Example output:

“Merchant onboarding review: Requested Adyen + Stripe dual-gateway setup for EU expansion. Adyen fact sheet confirms SEPA and iDEAL support; Stripe Payment Intents required for Apple Pay in Germany. Missing: 3DS configuration documentation for Adyen EU entity. Flag: Composer workflow needs conditional routing by currency (EUR → Adyen, USD → Stripe). Recover configuration recommended for soft decline codes 05 and 51.”

2. Smart Query Across Merchant & Partner Relationships

The problem: Your team has years of interactions across hundreds of merchant customers, gateway partners, and receiver integrations — conversations buried in support tickets, sales engineering notes scattered across CRM, routing optimization discussions in Slack, and integration history locked in internal systems.

What CodeMiner does:

• Natural language search across CRM (Salesforce, HubSpot, others), support systems, email, and internal documentation
• Cross-merchant intelligence — “Which subscription merchants configured Recover with more than two failover gateways?”
• Partner relationship mapping — “Who on our team worked with Equiant on receiver integration? What were the certification requirements?”
• Historical pattern recognition — “What routing configurations did we recommend for marketplace platforms expanding into LATAM?”

Real-world queries:

• “Which merchants had authorization rate improvements after enabling network tokenization in Advanced Vault?”
• “Find all support escalations related to payment method distribution to receivers in the last 12 months”
• “What did we learn from the Braintree-to-Stripe migration projects?”
• “Summarize all interactions with fintech platforms processing over $100M annually”

Value: Instant institutional memory across your merchant base. Never lose integration context when an engineer rotates, never repeat discovery you’ve already completed, leverage years of routing and tokenization expertise.

3. Market Intelligence for the Payments Ecosystem

The problem: The payments landscape shifts constantly — new gateway launches, regulatory changes (PCI DSS updates, open banking mandates), competitor orchestration platforms, and emerging receiver partnerships all require continuous monitoring across fragmented sources.

What CodeMiner does:

• Gateway ecosystem tracker — monitor new PSP integrations, API deprecations, regional expansion announcements, and partnership changes
• Regulatory change monitoring — track PCI scope changes, network token mandates, 3DS requirements, and regional payment regulations that affect merchant configurations
• Competitive intelligence — track orchestration platform positioning, feature launches, and merchant migration patterns
• Partner opportunity detection — identify new receiver integrations, wallet providers, and fraud prevention tools worth adding to the Connect ecosystem

Proactive applications:

• Integration opportunity scanner — Find emerging payment methods or regional gateways before merchants request them
• Merchant risk signals — Merchants approaching gateway contract renewals, experiencing auth rate degradation, or expanding into new geographies
• Ecosystem expansion alerts — New open banking rails, real-time payment networks, or agentic commerce payment flows

Example alert:

“Regional gateway opportunity: dLocal expanded Brazil PIX support with improved authorization rates for subscription merchants. Three existing Spreedly merchants in subscription vertical recently expanded to Brazil (per CRM notes). Current routing: single Stripe gateway. Recommendation: Proactive outreach with Composer conditional routing template (BRL → dLocal, USD → Stripe) plus Recover configuration for cross-border soft declines.”

4. Merchant Portfolio Intelligence

The problem: Managing hundreds of merchant customers across Connect, Vault, Protect, Optimize, and Resolve requires tracking gateway configurations, authorization performance, support patterns, and expansion plans — often spread across dashboards, tickets, and account manager notes.

What CodeMiner does:

• Configuration monitoring — track merchant gateway setups, routing workflow complexity, retry/failover settings, and receiver distribution mappings
• Performance pattern recognition — identify merchants with declining auth rates, suboptimal routing configurations, or underutilized platform capabilities
• Customer success automation — generate account review briefings synthesizing integration status, recent support issues, and optimization opportunities
• Cross-merchant benchmarking — compare routing strategies and auth rate outcomes across similar merchant profiles (subscription, marketplace, fintech platform)

Platform team value-add:

• Reduce time preparing for QBRs and account reviews by 60%
• Proactively identify merchants who would benefit from Recover, network tokens, or Account Updater
• Generate first-draft optimization recommendations in minutes, not days
• Learn which Composer workflow patterns deliver the best authorization uplift by vertical

5. Decision Intelligence: Learn from Routing & Integration Patterns

The problem: Your team has years of routing optimization, gateway integration, and merchant onboarding experience. That knowledge lives in support tickets, sales engineering playbooks, and individual engineers’ heads — not in systems that improve with every integration.

What CodeMiner does:

• Pattern recognition — What routing configurations consistently improve authorization rates? Which gateway combinations work best for which merchant profiles?
• Integration evolution — How have onboarding requirements changed? What certification steps predict smooth go-lives vs. escalations?
• Decline code validation — Which soft decline codes actually recover successfully via failover? Which Recover configurations deliver measurable revenue uplift?
• Vertical-specific insights — Do subscription merchants benefit more from network tokenization than marketplace platforms? How do auth rate patterns differ by geography?

Example insights:

“Historical analysis: 34 merchants who enabled Recover with dual-gateway failover (2019–2024). Average authorization rate improvement: 2.8%. Strongest results: subscription merchants with cross-border transactions (4.1% uplift). Common success pattern: Primary gateway for domestic transactions, failover gateway with strong international BIN acceptance. Recover mode: Standard + Outage with decline codes 05, 51, 61.”

“Receiver distribution analysis: Payment method distribution to third-party receivers (including SeatGeek) required average 3.2 weeks for certification vs. 1.1 weeks for standard gateway provisioning. Primary delay factor: Receiver-side field mapping documentation gaps. Recommendation: Pre-build receiver integration templates with normalized field mappings to reduce time-to-live.”

Value: Spreedly becomes a learning system. Every merchant integration improves your onboarding playbooks. Every routing optimization teaches you what configurations to recommend next.

6. Workflow Automation for Merchant Onboarding & Integration

The problem: Merchant onboarding is checklist-intensive — gateway provisioning, PCI scope validation, Composer workflow design, Recover configuration, receiver certification, and go-live testing. Items get missed. Handoffs between sales engineering, support, and solutions teams create gaps.

What CodeMiner does:

• Automated onboarding tracking — monitor every merchant integration, flag stalled certifications, surface missing configuration steps
• Smart notifications — “Gateway sandbox credentials promised 2 weeks ago not received” or “Receiver certification for ChargeBee pending merchant-side API key”
• Team coordination — “Who on solutions engineering has experience with CyberSource REST integrations?” or “Which CSM has capacity for new enterprise merchant onboarding this quarter?”
• Go-live material generation — Auto-generate merchant readiness reports synthesizing integration status, routing configuration, and recommended optimization steps

Value: Cover all onboarding bases automatically. Reduce integration gaps and certification delays. Free your team to focus on routing optimization and merchant success, not checklist management.

Why This Matters for Spreedly

Scale without headcount: Support 2x merchant onboarding volume with your existing solutions engineering team

Institutional memory: Years of gateway integrations, routing optimizations, and merchant relationships become a searchable, queryable knowledge base

Competitive advantage: Win complex multi-gateway deals where competitors lack the institutional knowledge and operational systems to support them

Evidence-based optimization: Learn which routing configurations, retry/failover setups, and vault features actually improve authorization rates — adjust recommendations based on data, not intuition

Ecosystem velocity: Add new gateways and receivers faster by leveraging accumulated integration intelligence instead of starting from scratch every time

From Payments Platform to Operating System

The best-performing payments orchestration platforms don’t just connect gateways — they operate with systematic intelligence:

• Documentation processing ensures your team trusts integration data and catches configuration gaps before merchants go live
• Market intelligence finds ecosystem opportunities others miss (new receivers, emerging payment rails, regulatory-driven feature requirements)
• Decision intelligence helps you learn from every merchant integration to make the next one faster and more successful

CodeMiner provides the infrastructure to transform Spreedly from a payments connectivity platform into a payments intelligence operating system.

Technical Foundation

Built on proven AI infrastructure:

• Natural language processing for unstructured gateway documentation and support history
• Vector database for semantic search across integration docs, tickets, and merchant communications
• Structured data extraction from API specifications, fact sheets, and configuration exports
• Multi-source data integration (CRM, support systems, internal wikis, developer documentation)

Secure and private:

• Your data never trains public AI models
• Multi-tenant isolation architecture
• Audit logging for PCI-adjacent operational compliance
• Role-based access controls

Integration with your existing tools:

• CRM systems (Salesforce, HubSpot, etc.)
• Support platforms (Zendesk, Intercom, etc.)
• Internal documentation (Confluence, Notion, wikis)
• Developer portals and API documentation
• In-house proprietary systems — Custom APIs and data connectors for your internal platforms, merchant dashboards, and orchestration tooling

About CodeMiner

CodeMiner builds AI-powered intelligence systems for knowledge-intensive businesses. Unlike generic analytics platforms, our system is purpose-built for organizations where deep domain expertise, institutional memory, and operational intelligence create competitive advantage.

We serve payments platforms, fintech companies, investment firms, and specialized operators who compete on expertise and capability — not just product features.

Focus areas:

• Payments orchestration and fintech platform intelligence
• Investment firm deal intelligence and institutional memory
• Complex integration and onboarding workflow automation
• Decision learning systems that improve with usage

Technology approach:

• AI-native architecture built for unstructured technical and business documents
• Learning systems that compound value across every customer interaction
• Privacy-first design (your data stays yours)
• Integration with existing workflows, not replacement

System Architecture