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API Integration

🔌 System Connectivity

Your Systems Should
Share Data Automatically.
Not Via Copy-Paste.

We've been connecting systems since the SOAP API era — now we work in REST, GraphQL, webhooks, and when no API exists, we build ingestion via FTP or email parsing. Real integrations in production: QuickZ bank and credit APIs, the Zoho ↔ KeyPay Marketplace extension, TSN BOM procurement, and Shopify inventory sync for manufacturers across Singapore and Malaysia.

API INTEGRATION MONITOR · LIVE
● 8 integrations active
ACTIVE
8
Integrations
TODAY
4,842
API calls
ERRORS
0
Last 24h
ACTIVE INTEGRATIONS
Bank API → QuickZ · Verification on application · REST
Live
Zoho ↔ KeyPay · Payroll sync · Marketplace ext.
Live
Shopify → Inventory · Real-time stock sync · Webhook
Live
CRM → Books · Deal close creates invoice · REST
Live
LEGACY INTEGRATION — EMAIL PARSING
Supplier sends order confirmation via email
Parser extracts order data → updates system automatically
No API required — email is the integration channel
23 YEARS OF INTEGRATION EXPERIENCESOAP in 2002. REST today. FTP, email parsing, webhooks, GraphQL — if there's a way to move data between systems, we've built it.
SOAP
to REST — 23 years of integration history. Every protocol generation, every connectivity challenge.
QuickZ
Bank + credit score APIs automated — loan applications from days to hours
30+
Businesses on our Zoho ↔ KeyPay Marketplace integration — zero manual payroll prep
FTP
& email parsing — when there's no API, we build an ingestion layer from what's available

What is API Integration

API integration is the process of connecting different software systems so they can exchange data automatically in real time.
It eliminates manual data entry by allowing systems like CRM, accounting, e-commerce, and internal applications to stay synchronised through APIs, webhooks, or other data transfer methods.

How API Integration Works

API integration connects systems through defined data flows and triggers:

The entire process runs automatically — without manual intervention.


— Integration Methods

Every method from REST to email parsing — we've used them all

The right method depends on what the systems support. We've worked with every generation of integration technology and know which approach fits which situation.

Modern Standard

REST APIs

The current standard for most integrations — JSON over HTTPS, well-documented, predictable. Most modern platforms expose REST: Zoho, Shopify, Salesforce, payment processors, banking APIs. We build with proper authentication, error handling, rate limiting, and retry logic.
Real-Time Events

Webhooks

Rather than polling every few minutes, webhooks push data the moment something happens. Payment succeeds → your system notified instantly. Order ships → CRM updates immediately. We configure endpoints with proper signature validation and idempotent message handling.
Query Language

GraphQL

Where platforms expose GraphQL — Shopify's Admin API and others — we use it. GraphQL allows precise data fetching, reducing the over-fetching that REST can produce. We implement with proper query management and caching strategies.
Legacy Protocol

SOAP / XML Web Services

We started on SOAP APIs in the early 2000s and still integrate with SOAP-based systems. Legacy ERPs, government platforms, and some financial services still use SOAP. We've built and maintained SOAP integrations for systems running on the protocol for two decades.
File-Based

FTP / SFTP File Transfer

Some systems don't expose APIs — they share data via file drops. Suppliers who send order CSVs over FTP. Systems that batch-export nightly. We build ingestion pipelines that watch for new files, validate, parse, and import automatically — with alerts on failure.
No-API Ingestion

Email Parsing

When FTP isn't available either, structured emails become the integration channel. Order confirmations, shipping notifications, invoice PDFs — we parse these emails, extract the relevant data, and write it to your system automatically. No manual re-entry, no missed updates.

Why API Integration Matters

Disconnected systems create duplicate work, inconsistent data, and delayed processes.
API integration ensures data flows automatically between systems, reduces manual errors, improves operational speed, and enables real-time decision-making. It also creates the foundation for automation and AI-driven workflows across the business.

— The Problem

Six integration problems that cost businesses time and accuracy every day

Disconnected systems are the most common source of operational inefficiency we find — and the most consistently underestimated.

🔄

Same data entered in multiple systems manually

A new customer created in CRM, manually added to the accounting system, manually added to the support system. One piece of data, three entries, guaranteed to diverge over time. Every integration we build eliminates a manual re-entry step permanently.

Workflows that depend on a human noticing something happened

When a deal closes in CRM, someone needs to remember to raise the invoice. When an order ships, someone needs to update the customer. These handoffs get missed, delayed, or done inconsistently. API integrations make these triggers automatic and immediate.

🔢

Different systems showing different versions of the same data

Customer address updated in CRM but not in the accounting system. Stock level shows 50 in the warehouse system but 40 in Shopify. Every data discrepancy is a manual re-entry that was missed. Real-time sync means one update propagates everywhere instantly.

🏦

Business processes that require human intervention they don't need

QuickZ's loan process required a human to trigger bank verification and credit scoring — introducing delay into a business model built on speed. API integration automated both, removing the human from routine decisions and reducing loan turnaround from days to hours.

📧

Legacy systems with no API — assumed to be impossible to integrate

An older ERP, a government system, a supplier platform — no API documentation, no modern connectivity. Often assumed to be unintegrable. We've connected systems via FTP file ingestion, email parsing, and screen-scraping where nothing else exists. "No API" is a constraint, not a blocker.

💥

Fragile integrations that break when upstream APIs change

A script that worked perfectly until the API changed its response format. An integration with no error handling that fails silently for three days before anyone notices. Every integration we build includes version handling, error alerting, and monitoring — so you know immediately when something breaks.


✦ Free · No Commitment

Systems not connected? Data entered twice? We've solved this before.

Free consultation — we map which systems need to connect, the right integration method, and a realistic scope.
— Real Integrations

API integrations we've built — specific, in production, real outcomes

Not generic descriptions. Real systems, real data flows, real results.

01

QuickZ — Bank Verification + Credit Score API Automation for Same-Day Lending (Australia)

+

QuickZ's business model is quick finance — their competitive advantage is speed of approval and disbursement. That requires every step of the lending process to run without manual intervention. We integrated Australian bank verification APIs and credit scoring agency APIs directly into the application workflow, triggered automatically at the right pipeline stages. Bank verification fires when an application reaches a defined CRM stage. Credit scoring fires only if bank verification passes. Disbursement initiates automatically on approval. The entire sequence runs without a human touching it.

💰Loan process automated from days to hours · Bank and credit verification triggered without human intervention · Exception routing handles declined applications correctly · Full audit log of every API call
// The automated lending flow
Application submitted via WordPress → lead created in Zoho CRM → CRM stage change triggers bank verification API call → bank response received (approved / pending / declined) → if approved: credit score API triggered automatically → credit response received → if approved: loan disbursement workflow initiated, payment schedule created, automated repayment reminders scheduled → if declined at any stage: exception workflow routes to human review queue. Each API call: timeout handling, retry on transient failure, full request/response audit log, failure alert to operations team if max retries exceeded.
Bank Verification APICredit Score APIZoho CRMREST
02

Zoho ↔ KeyPay — Payroll Integration Published on the Zoho Marketplace (30+ AU/NZ Businesses)

+

KeyPay is the leading payroll platform in Australia and New Zealand. Zoho Payroll doesn't operate in these markets. Every AU/NZ business on Zoho People was manually re-entering employee data, leave balances, and attendance into KeyPay every pay cycle — same data, entered twice, with the errors that creates. We built a bidirectional integration published as a Zoho Marketplace extension. Employee data, leave, and attendance flow automatically from Zoho People to KeyPay. Currently used by 30+ businesses. Zoho Corp subsequently approached Infomaze to build equivalent extensions for Singapore and UK markets.

💰30+ AU/NZ businesses with zero manual payroll prep · Zoho Marketplace extension — used and maintained by Infomaze · Zoho approached Infomaze to expand to SG and UK
// What syncs automatically
Employee records: created/updated in Zoho People → synced to KeyPay via API (name, employment type, bank details reference, tax details). Leave balances: approved leave in Zoho People → reflected in KeyPay before each payrun so calculations are accurate. Attendance/timesheets: timesheet data from Zoho People → KeyPay for time-based payroll. Payrun execution: when payrun initiated in KeyPay, all required data is already current — no preparation needed. Extension architecture: built to Zoho Marketplace standards — configurable per customer, OAuth-based credential management, comprehensive error handling with user-visible status, retry logic for API failures.
Zoho People APIKeyPay APIZoho MarketplaceOAuth / REST
03

TSN — Multi-Warehouse BOM Procurement Integration for Telecom Tower Operations (AT&T, T-Mobile)

+

TSN needed to integrate with warehouse management systems across the US to make real-time procurement decisions without human involvement. When a telecom tower project was created, the system needed to query all warehouses simultaneously, identify the nearest location with required components, and either reserve and ship those components or raise a new purchase order — based on a distance-and-cost calculation. The BOM reprioritization logic — subsequently awarded US patents — required the integration layer to simultaneously update inventory commitments across multiple warehouses when order priority changed.

💰Duplicate procurement eliminated — nearest warehouse found automatically · BOM reprioritization reallocates inventory without manual intervention · US-patented decision logic we designed and built
// The procurement decision flow
Project created → BOM check triggers warehouse API queries (all US locations simultaneously) → responses aggregated: which warehouses have required components in quantity → distance calculation: nearest warehouse to project site identified → decision: if within cost threshold — reserve and schedule shipment → if too far — compare shipping cost vs new PO cost → if new PO cheaper — purchase order API called automatically → all commitment records updated → project team notified. Reprioritization: Order 4 gains priority over Order 1 → system reallocates committed inventory, recalculates delivery dates for all affected orders, re-triggers procurement where needed, notifies stakeholders — all automatically.
Warehouse Management APIsProcurement APIBOM Engine.NET / REST
04

Shopify + Zoho Inventory — Real-Time Stock Sync for Manufacturers (Singapore & Malaysia)

+

For the Singapore wine manufacturer and Malaysian phone accessories manufacturer, we built real-time bidirectional integration between Shopify and Zoho Inventory. Orders from Shopify flow into Zoho as sales orders, committing stock automatically. Inventory changes in Zoho — received stock, manufactured items, adjustments — update Shopify immediately. When stock hits zero, the product is marked unavailable in Shopify automatically. For the phone accessories manufacturer, BOM logic ensures bundle orders commit all component SKUs correctly at order placement.

💰Overselling eliminated — Shopify always reflects actual stock · Orders flow from Shopify to Zoho without manual entry · Out-of-stock management automated across both systems
// Bidirectional sync flows
Shopify → Zoho: order placed → webhook fires → order ingested as Zoho sales order → stock committed → fulfilment tracked → when shipped: tracking number synced back to Shopify → customer notified automatically. Zoho → Shopify: stock adjusted in Zoho (received, manufactured, sold, adjusted) → Zoho pushes updated quantity to Shopify via API → Shopify storefront reflects actual stock immediately → if quantity hits zero: product marked "Out of Stock" in Shopify automatically. BOM (phone accessories): bundle ordered in Shopify → integration reads bundle's BOM → commits all 4 component SKUs simultaneously in Zoho → Shopify bundle shows "In Stock" only when all components have sufficient quantity.
Shopify WebhooksZoho Inventory APIBOM IntegrationREST
05

Legacy System Integration — FTP Ingestion and Email Parsing for Systems Without APIs

+

Not every system has an API — and "no API" doesn't mean unintegrable. We've built integration layers for legacy ERPs, supplier systems, and government platforms that share data via FTP file drops or structured emails. Suppliers who send order confirmations as structured CSV over SFTP. Systems that batch-export overnight. Platforms that send confirmation emails with consistent formats. For all of these, we build reliable automated ingestion — monitored, validated, and with proper error alerting — that delivers the same data reliability as an API integration.

💰Legacy systems connected without requiring API development · Manual re-entry eliminated from file-based and email workflows · Same monitoring and reliability as API-based integrations
// How FTP and email ingestion works
FTP ingestion: scheduled job monitors SFTP location every N minutes → new file detected → format validated (column structure, required fields, data types) → if valid: parsed and imported to target system → file archived → success logged. If invalid: file moved to error folder → alert sent to operations team immediately. Email ingestion: dedicated mailbox monitored → new email arrives → sender and subject validated against expected pattern → body or attachment parsed using defined extraction rules → data written to target system → email archived. Both include: full audit log of every file/email processed, idempotent processing (duplicate files don't create duplicate records), configurable retry on transient failures.
SFTP / FTPEmail ParsingFile Ingestion PipelineLegacy Integration

— Engineering Standards

Six things we build into every integration — not just the happy path

Most integration failures aren't in the happy path — they're in what happens when an API is slow, returns an unexpected format, or goes down for maintenance.

🛡️

Error Handling & Retry Logic

Every API call can fail — timeout, rate limit, temporary server error, unexpected response format. We build retry logic with exponential backoff for transient failures, circuit breakers for sustained outages, and dead letter queues for messages that exhaust retries. A failed integration that alerts you immediately is vastly better than one that fails silently for three days.

📊

Monitoring & Alerting

Every integration we build is monitored — API call success rates, response times, error rates, queue depths. When something deviates from normal, an alert fires to the right person immediately. You know about integration failures before your users do — not after they complain.

📋

Full Audit Logging

Every API call logged — timestamp, request payload, response, outcome. When a data discrepancy surfaces three weeks later, the audit log tells you exactly what was sent, what was received, and what decision was made. Essential for financial integrations like QuickZ where every transaction needs a complete trail.

🔄

Idempotent Processing

The same event can arrive more than once — a webhook fires twice, a file is processed after a retry. Idempotent design means processing the same message multiple times produces the same result as processing it once. No duplicate orders, no duplicate payments, no duplicate records.

🔒

Secure Credential Management

API keys, OAuth tokens, and credentials stored securely — never in source code, never in plain text configuration. Proper OAuth flows, token refresh handling, and credential rotation support. The KeyPay Marketplace extension was built to Zoho's security standards precisely because it handles sensitive payroll credentials.

📚

Documentation & Handover

Every integration documented — data flows mapped, credentials stored in a secure vault with access instructions, error scenarios documented with resolution steps. When the integration needs to be modified in two years, there's a clear record of how it was built and why each decision was made.

— Engagement Models

Three ways to work with us on integration

✦ Start here

Free Integration Consultation

No cost · No obligation
45–60 minutes · Remote
  • Map which systems need to connect and why
  • Assess API availability and integration method
  • Identify data flow and business logic requirements
  • Realistic scope and timeline estimate
  • Written approach document yours to keep
🔄 Ongoing

Integration Retainer

Monthly · Maintenance & new integrations
Min. 3 months
  • Named integration engineer on your systems
  • New integrations added as your stack grows
  • API version updates managed proactively
  • Monitoring and incident response
  • Priority support — same-day response
— How We Work

From data flow mapping to monitored production integration

Map the data flow first. Handle every failure case before writing the happy path. Test with real data before go-live.

🗺️
01 —

Data Flow Mapping

Map every data element that needs to move, in which direction, triggered by what event, with what business rules applied.

⚙️
02 —

Build & Test

Integration built with error handling, retry logic, and audit logging. Tested in sandbox with representative data before touching production.

🧪
03 —

Production Validation

Integration run in production with monitoring active. First batch of real transactions validated manually before switching to fully automated operation.

📊
04 —

Monitor & Maintain

Ongoing monitoring for error rates and anomalies. API version changes handled proactively. Documentation kept current.

— Who This Is For

Three situations where integration makes the biggest difference

Operations Director — manual data entry between systems consuming team time

Your team enters the same customer, order, or job data into two or three systems every day. That time adds up, the errors add up, and the reconciliation at month-end adds up further. Integration eliminates every manual re-entry step permanently.

Data entered once — flows everywhere automatically
Errors from manual re-entry eliminated
Team time freed for work that requires judgement

CTO — fragile integration scripts breaking when APIs update

A script someone wrote connects two systems. It works until an API version update breaks it — and nobody notices for two days. We build integrations with version handling, monitoring, and immediate alerting. You know about failures before your users do.

Error handling and retry logic built in from day one
Monitoring alerts on failure immediately
API version changes handled proactively

Business owner — legacy system with no API assumed to be unintegrable

An older platform, a supplier system, a government API — no REST documentation, possibly no API at all. We've integrated systems via FTP, email parsing, and screen-scraping. "No API" is a constraint that shapes the approach, not a reason it can't be done.

FTP and SFTP ingestion pipelines built and monitored
Email parsing for structured confirmation emails
Same reliability as modern API integration

— FAQ

Questions we always get about API integration

What do you do when a system doesn't have an API?

+
"No API" means we need to use a different ingestion method — not that integration is impossible. We assess what data exchange mechanisms the system does support. Most systems support at least one of: file export (CSV, Excel) via FTP or SFTP, structured email notifications, a reporting module that can be scheduled, or a database that can be read directly (with appropriate permissions). We've integrated systems via all of these methods. For the Atlantic LNG BI project, the "no direct access" constraint was solved using Excel staging exports and Microsoft PowerApps as a structured data capture layer. The same principle applies to application integrations.

How do you handle API rate limits?

+
Rate limits are a normal part of working with third-party APIs and we design for them from the start. Our approach: implement request queuing so calls are spread over time rather than burst-firing; add exponential backoff so retries on rate-limited responses don't immediately hit the limit again; cache responses where the data doesn't need to be fetched fresh on every call; batch requests where the API supports it. For high-volume integrations, we assess the rate limits in the design phase and architect the integration flow to stay within them under normal and peak load conditions.

Can you integrate systems that were built by different teams?

+
Yes — this is the most common integration scenario. The integration layer we build sits between the two systems and doesn't require changes to either one (unless a new API endpoint needs to be added to a custom application, in which case we build it). For off-the-shelf platforms — Zoho, Shopify, Salesforce, QuickBooks, Xero — we use their documented public APIs. For custom applications built by other teams, we work with whatever API or data access mechanism is available. We've integrated systems across .NET, Laravel, Python, and Java backends built by completely different teams.

What's the difference between a webhook and a REST API call?

+
A REST API call is pull-based — your system asks the other system "do you have anything new?" on a schedule, and the other system responds. This is polling. A webhook is push-based — the other system calls your endpoint the moment something happens, without you asking. Webhooks are better for real-time scenarios: a payment succeeds and you need to know immediately, not in the next polling cycle. REST polling is better when you need to retrieve large datasets, when the other system doesn't support webhooks, or when you need to fetch data on demand rather than react to events. Most modern integrations use a combination — webhooks for real-time event triggers, REST API calls for data retrieval and updates.

Ready to connect your systems and eliminate the manual work between them?

Start with a free consultation. We map your integration requirements and recommend the right approach — before any commitment. 23 years of integration experience, from SOAP to REST to email parsing. ISO 27001.

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