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Custom Architecture
18+ Production APIsAI Agent IntegrationReal-Time Sync

Custom API Integration & System Connection

Your Systems Don't Talk — So Your Team Does It Manually

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What Custom API Integration Actually Does — And What Breaks Without It

Your Shopify order fires. Within two seconds, your ERP inventory adjusts, your CRM logs the sale, Stripe processes payment, Twilio sends an SMS confirmation, and your fulfillment queue updates — no spreadsheet touched, no Slack message sent, no one checking a portal. That's what working API integration looks like in 2026. Most growing businesses run 8–15 disconnected tools. Your CRM doesn't see payment data. Your ERP doesn't know shipping status. Your support team opens three tabs to answer one question. So your people become the integration layer — copying order numbers, updating records manually, checking portals every Tuesday. Proper integration eliminates that entirely. REST API connections with webhook-driven event handling mean data flows automatically between your systems. Field mapping transforms Stripe's payment_intent into your ERP's transaction_id. Retry logic with exponential backoff catches failures before they become silent data loss. And in 2026, it means something more: AI agents connected via MCP that can read your order database, classify support tickets, trigger workflows — not just chat, but act. Without it, your team burns hours on copy-paste work your competitors automated two years ago.

프로젝트가 실패하는 이유

Orders come into Shopify but inventory lives in your ERP -- with no sync between them So you oversell. Then come the refunds, the angry emails, the customers who never come back. It's a trust problem that's entirely preventable, and it's almost always caused by two systems that should be talking but aren't.
Your customer history lives in HubSpot but your support team is working out of a completely separate tool They can't see what the customer bought, what they've asked before, or what's already been promised to them. So every support interaction starts from scratch. That's a worse experience for the customer and a frustrating one for your team.
Shipping updates sit in the FedEx portal -- which your customers can't access -- so they call you instead Your support team spends real hours every day just relaying tracking information that should be automated. That's not support work. That's busy work.
Five tools, daily manual copying, one person doing it And look, it works fine until it doesn't. One transposed digit in an order number, one row pasted into the wrong column -- and suddenly you've shipped to the wrong address, lost a deal, or refunded a customer who shouldn't have been refunded. Manual data entry isn't a workflow. It's a liability.
Your competitors in Austin, in Chicago, in your exact market -- they're deploying AI agents that handle first-line support, process routine orders, and surface insights automatically But AI can't help you if your data is locked in disconnected silos with no API exposure. You don't have an AI problem. You have an integration problem that's *blocking* your AI strategy.
Silent failures are the worst kind The previous developer wired things together, it worked in testing, and then six months later you're discovering that orders from a specific customer segment never made it to the ERP. No error. No alert. Just... gone. That's what happens without proper retry logic, dead letter queues, and monitoring. You find out from an angry customer, not from your system.

컴플라이언스

Payment & Commerce Integration

Stripe, Stripe Connect, and payment gateway connections are where you really can't afford shortcuts. We're talking proper webhook handling with signature verification, idempotency keys so duplicate events don't charge customers twice, and retry logic that handles network failures gracefully. Plus subscription lifecycle management, marketplace payout splits, and reconciliation automation so your finance team isn't manually matching transactions.

Communication & Messaging

Twilio for SMS and voice, Brevo for transactional email, ElevenLabs for AI voice, Nylas for inbox integration -- these aren't interchangeable. Each one has different rate limits, delivery guarantees, and failure modes. We've built multi-channel notification systems that route to the right channel based on customer preference and message urgency. So the right message reaches the right person, the right way.

CRM & Marketing Automation

HubSpot, Instantly, and Findymail working together means your outbound pipeline actually stays clean. Lead data enriched via Findymail, sequences running through Instantly, and everything syncing back to HubSpot so it stays the source of truth. Bidirectional -- not just a one-way push that falls out of sync within a week.

Search & Data Intelligence

Algolia isn't just a search box. Typo tolerance, faceted filtering, custom ranking rules -- it's a genuinely different experience for users compared to basic database queries. We pair that with Google Maps for location-based filtering and custom scoring logic that surfaces your most relevant data first. The result is search that actually works the way users expect it to.

AI Agent & MCP Connections

Claude API and OpenAI connected as autonomous agents -- not chatbots sitting in a corner answering FAQs. MCP connections let the AI actually reach into your systems: read database records, process an order, classify and route a support ticket, trigger a downstream workflow. That's a fundamentally different thing than a chatbot. And it's what makes AI useful in an operations context.

Monitoring & Error Handling

Sentry catches errors before customers do. PostHog tells you whether your pipeline is healthy or quietly degrading. Upstash Redis handles rate limiting and caching so you don't hammer third-party APIs or blow through paid tier limits. And every integration we build includes retry logic, dead letter queues for failed messages, and alerting that gives you context -- not just "something broke."

우리가 만드는 것

Copy order data from Shopify into your ERP manually because there's no sync

Orders sync instantly — Shopify to ERP to fulfillment queue with zero manual copying or portal-checking

Check FedEx portal separately, then paste tracking numbers into customer emails by hand

Customers get tracking SMS automatically when FedEx scans the package, no support time spent relaying updates

Update HubSpot CRM after every sale closes because Stripe doesn't feed it automatically

Support sees full purchase history, past tickets, and CRM notes in one view — context on every interaction

Answer support tickets blind — no purchase history, no interaction log, just guessing context

AI agents read your order database, process routine requests, escalate edge cases — because your systems expose clean APIs

Discover oversold inventory only after the angry customer emails asking where their order is

Failures retry automatically with exponential backoff, land in dead letter queues if persistent, fire Sentry alerts with full context

Watch competitors deploy AI agents while your data sits locked in disconnected silos with no API layer

Build your own public API with rate limiting and webhook events so partners can integrate with you — opening revenue channels manual workflows can't

우리의 프로세스

01

System Audit

Before writing a line of code, we map everything: every tool in your stack, every data flow, every manual handoff where someone's copying and pasting between systems. And honestly, that audit alone is valuable -- most teams haven't seen their own data flows laid out end to end. From there, we figure out which integrations save the most time and which data gaps are causing the most pain.
Week 1
02

Integration Architecture

Once we know the landscape, we design the actual data flow: which system owns which data, how webhook events are structured, what happens when a sync fails, how retry logic behaves under load. You see the full blueprint -- field mappings, error handling strategy, the whole picture -- and you approve it before we build anything. No surprises mid-project.
Week 2
03

Core Integrations

We don't build everything at once. The highest-priority integration goes first, deployed to a staging environment with real test data so you can verify that the actual data flowing through matches your expectations. Not synthetic test cases -- real records from your systems behaving exactly as they will in production. Then we move to the next one.
Week 3-5
04

AI & Advanced Features

Once the core connections are live, we tackle the harder stuff -- MCP connections for AI agents, transformation pipelines that reconcile messy data between legacy formats and modern APIs, and multi-step workflows that orchestrate actions across 4 or 5 systems in sequence. This is where the real efficiency gains show up.
Week 6-8
05

Launch + Monitoring

Production deployment includes Sentry error tracking wired up from day one, PostHog pipeline health metrics so you can see data flowing in real time, and alerting configured before we hand anything over. Plus 30 days of free monitoring after launch -- because the edge cases that don't show up in testing always show up in the first few weeks of real production traffic.
Week 9-10
AstroSupabaseVercelStripeTwilioElevenLabsHubSpot APIClaude APIOpenAIAlgoliaBrevoPostHogSentry

자주 묻는 질문

API 통합 비용은 얼마인가요?

가격 책정은 꽤 직관적입니다. Stripe을 플랫폼에 연결하는 것처럼 적절한 webhook 처리와 함께 단일 통합은 복잡도에 따라 $5,000에서 $15,000입니다. 3개에서 5개의 도구를 하나의 통합된 흐름으로 연결하는 다중 시스템 작업은 $25,000에서 $75,000입니다. 데이터 변환, 완전한 오류 처리 및 5개 이상 시스템에 걸친 모니터링이 포함된 엔터프라이즈 수준 통합은 $75,000에서 $200,000입니다. 모든 것은 발견 후 고정 가격이므로 청구 놀라움이 없습니다.

프로덕션 경험이 있는 API는 무엇인가요?

현재 19개의 API가 프로덕션에서 실행 중입니다: Stripe, Brevo, Claude API, OpenAI, FAL API, ElevenLabs, Twilio, PostHog, Sentry, Upstash Redis, Supabase, HubSpot, Swiss Ephemeris, Algolia, Google Maps, Nylas, Findymail, Instantly 및 Name.com입니다. 이들 모두는 실제 프로덕션 트래픽, 실제 속도 제한 문제 및 실제 실패 시나리오를 겪었습니다. 우리는 당신의 프로젝트에서 배우지 않습니다 -- 우리는 이미 배웠습니다.

레거시 시스템을 현대적 도구와 연결할 수 있나요?

가능합니다 -- 이것은 예상보다 더 자주 나옵니다. 제조, 물류 및 의료 분야의 많은 비즈니스는 2008년부터 실행 중인 시스템을 보유하고 있으며 어디로도 가지 않습니다. 우리는 레거시 SOAP 서비스를 최신 REST 인터페이스로 래핑하는 미들웨어 레이어, 이전 데이터 형식을 현재 API가 사용할 수 있는 것으로 변환하는 변환 파이프라인, 이전 시스템이 실시간 워크플로우에 참여할 수 있도록 하는 webhook 브릿지를 구축합니다. 레거시 시스템은 계속 실행됩니다. 우리는 주변을 현대화합니다.

시스템과 상호작용하는 AI 에이전트는 어떤가요?

2026년에 AI 에이전트가 실제로 유용하기 위해 필요한 것은: 접근입니다. 프롬프트와 지식 기반만이 아니라 -- MCP 연결을 통해 시스템에 대한 실제 읽기/쓰기 접근입니다. Claude 또는 ChatGPT가 주문 상태를 확인하고, CRM 레코드를 업데이트하고, 알림을 보내고, 일상적인 요청을 처리하고, 상황에서 필요할 때 인간에게 에스컬레이션할 수 있도록 이러한 연결을 구축합니다. 그것이 자율 어시스턴트입니다. 그것은 챗봇과 다릅니다.

API 장애 및 속도 제한을 어떻게 처리하나요?

우리가 출시하는 모든 통합에는 지수 백오프를 사용한 재시도 로직, 실패한 메시지가 단순히 삭제되지 않도록 하는 데드레터 큐, API 할당량을 실수로 소모하지 않도록 속도 제한 관리, Sentry를 통한 모니터링 경고가 포함됩니다. PostHog는 시간 경과에 따른 처리량을 볼 수 있도록 파이프라인 상태를 추적합니다. 새벽 2시에 무언가 실패할 때 -- 결국 무언가는 실패할 것입니다 -- 전체 컨텍스트와 함께 경고를 받으며, 3일 후에 발견하는 자동 데이터 갭이 아닙니다.

플랫폼용 공개 API를 구축할 수 있나요?

가능합니다, 그리고 대부분의 팀보다 더 일찍 생각해 볼 가치가 있습니다. 우리는 적절한 OpenAPI 문서, API 키 관리, 클라이언트당 속도 제한, 실시간 이벤트 전달을 위한 webhook 시스템 및 향후 변경 사항이 기존 통합을 깨뜨리지 않도록 버전 관리를 포함한 REST API를 구축합니다. 플랫폼에 견고한 API 레이어가 있으면 다른 도구가 *함께* 통합할 수 있는 것이 됩니다 -- 이것이 통합 수익과 파트너십 거래가 실제로 발생하는 방식입니다.

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