API & SystemIntegrationSystems that talk to each other, so people do not have to.
APIs, integration layers, synchronisation and event handling engineered around explicit data contracts.
KAPAT designs and engineers the connections between systems — internal applications, vendor products, partner platforms and devices — so information moves reliably, once, with a record of what happened. The work covers API design, integration layers, data synchronisation, webhooks and the monitoring that keeps them trustworthy.
All ServicesIllustrative Engineering Flow
- Service Type
- API and integration engineering
- Typical Scope
- APIs · Sync · Webhooks · Adapters
- Connects
- ERP · CRM · Accounting · Partners · Devices
- Key Concerns
- Data contracts · Failure · Traceability
- Patterns
- Request-response · Events · Batch
- Parent Service
- Custom Software Engineering
When This Service Fits
When people have become the integration layer.
Every organisation runs on more than one system. Integration is needed when the gaps between them are filled by exports, imports, re-typing and reconciliation — or when a new application must fit into what already exists rather than replace it.
Common scenarios — not every organisation has all of these.
- 01The same customer, product or order is entered into two or more systems by hand.
- 02Orders, invoices or stock levels are moved between systems by spreadsheet export and import.
- 03A new application must exchange data with an existing ERP, CRM or accounting package.
- 04Partners, suppliers or customers need to send or receive data in a structured, automated way.
- 05A web or mobile application needs a stable, documented API to build on.
- 06An existing product must publish events — order placed, status changed — for other systems to act on.
- 07Reports disagree because each system holds its own version of the truth.
- 08Payment, messaging, e-commerce or logistics providers must be connected reliably.
- 09Devices, instruments or machines produce data that should flow into business systems.
- 10Integrations exist but fail silently, and nobody knows until a customer notices.
Decision Support
Choosing the integration approach.
Integration can be point-to-point or through a central layer; synchronous or event-driven; real-time or batched. The right combination depends on how many systems are involved, how current the data must be and what happens when something fails.
Direct integration may fit when
- Only two systems are involved and are unlikely to multiply
- Both expose stable, well-documented APIs
- Data volumes and timing are modest
- The mapping between them is simple
- Ownership of the connection is clear
An integration layer fits when
- Several systems must share the same data
- One system will be replaced and others must not notice
- Transformation, validation or enrichment sits between systems
- Failures must be queued, retried and reported centrally
- Partners or customers need a single, stable API
- Auditors need to trace what moved, when and why
Questions to settle first
- Which system owns each piece of data
- What each system actually exposes: API, database, files, webhooks
- How current the data must be — seconds, minutes, nightly
- What must happen when a system is down or rejects a record
- How identifiers are matched across systems
- Who is responsible for the integration once it is live
Specific integration feasibility always depends on what the third-party system exposes and permits. KAPAT assesses each connection during discovery rather than assuming an API exists or behaves as documented.
Typical Software Opportunities
Types of integration KAPAT engineers.
Representative categories of API and integration work, shown as capability areas rather than as a list of completed projects or certified partnerships.
01
Application APIs
Designed, documented and versioned REST or GraphQL APIs that expose a system’s capability to web and mobile clients, partners and other services.
Potential capability
02
Enterprise System Connectors
Adapters that exchange orders, customers, products, stock and financial data with ERP, CRM, accounting and HR systems through their APIs or supported interfaces.
Potential capability
03
Data Synchronisation
Scheduled or event-driven synchronisation that keeps records consistent across systems, with matching rules, conflict handling and reconciliation.
Potential capability
04
Event & Webhook Processing
Reliable receipt and publication of events — payment received, shipment updated, record changed — with verification, idempotency and retry.
Potential capability
05
Partner & B2B Exchange
Structured data exchange with suppliers, customers and platforms through APIs, file transfer or industry formats, with validation and acknowledgement.
Potential capability
06
Device & Data Feed Integration
Ingestion of data from instruments, sensors, machines and external feeds into business systems, with buffering and validation at the edge.
Potential capability
Engineering Approach
How an integration is delivered.
Integration engineering begins with understanding the systems and the data, not with the transport. Data contracts are agreed before code, failure handling is designed rather than discovered, and every connection is monitored from the day it goes live.
01
Map
Inventory systems, data, owners, interfaces and the flows that matter.
02
Contract
Define fields, formats, identifiers, validation and ownership per data flow.
03
Architect
Choose patterns — APIs, events, batch — and design the integration layer.
04
Engineer
Build APIs, adapters, transformations, queues and logging in verified increments.
05
Validate
Test with real data, simulate failures, reconcile both sides.
06
Release
Controlled go-live with monitoring, alerting and fallback in place.
07
Operate & Evolve
Watch, maintain, version and extend as systems change.
Architecture
Architecture principles for integration.
Integrations fail in ways that applications do not: the other side changes, goes down, returns something unexpected or delivers the same message twice. The architecture assumes all of this will happen.
Explicit data contracts
Every flow has a defined schema, identifier strategy, validation rules and owner. Ambiguity about what a field means is resolved before it becomes a data problem.
One system of record per entity
Each kind of data has a single owner. Other systems hold copies with a known direction of flow, so conflicts are decided by design rather than by timing.
Loose coupling
Systems connect through APIs, events or an integration layer, not by reaching into each other’s databases, so either side can change without breaking the other.
Idempotent and retryable
Messages can be delivered twice and operations replayed without creating duplicates. Failed deliveries are queued and retried with backoff, then escalated.
Observable flows
Every message, call and transformation is logged with correlation identifiers, so a missing record can be traced from source to destination.
Versioned interfaces
APIs and contracts are versioned so consumers can migrate on their own schedule and old clients keep working.
Technology
Technology KAPAT can work with for integration.
Representative categories and widely used technologies. These are capabilities, not a fixed stack, and not a statement of what was used on any particular project or a list of certified partnerships.
API Design & Delivery
Messaging & Events
Integration & Transformation
Systems Commonly Connected
Data & Operations
Technology stacks are selected per project for fit, longevity, the team that will maintain the integration and long-term maintainability — and always constrained by what the systems being connected actually support.
Quality & Engineering Discipline
Engineering quality in integration.
Nothing lost silently
Failed messages are captured, retried and surfaced. Dead-letter queues and alerts ensure a stuck record is seen by a person.
No duplicates on retry
Idempotency keys and de-duplication mean a replayed message creates one order, not two.
Validated at the boundary
Incoming data is checked against the contract before it enters a system; rejected records are reported with a reason.
Reconciled, not trusted
Periodic reconciliation compares both sides and reports discrepancies, catching drift that per-message logging alone would miss.
Secure by design
Authenticated endpoints, signed webhooks, encrypted transport, scoped credentials and secrets kept out of code.
Resilient to the other side
Timeouts, circuit breakers and graceful degradation so one slow or failing system does not take the others down.
Traceable end to end
Correlation identifiers follow a record through every hop, so support can answer "where did this go" quickly.
Documented and versioned
API documentation, contract definitions and change history so consumers and future engineers know what to expect.
Related Solutions
Business problems this capability helps solve.
Services describe engineering capability; solutions describe the business problems KAPAT applies it to.
FAQ
Common questions about api & system integration.
API & System Integration
Ready to connect the systems?
Start with the data that is re-entered most and the systems that hold it. KAPAT can help define the contracts, architecture and engineering approach for integration that stays reliable.
A direct conversation with the engineers who would build the system — no sales layer in between.
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