Solutions

Integration

Connect systems and data so work flows without friction.

Integration isn't just "wiring tools together." IKC builds integration that's operable in the real world with data consistency, security, monitoring, error handling, and change control built in.

Reduce re-entry and mistakes with consistent data flow across systems
Design the right pattern (API, event, batch) for reliability and scale
Operate with confidence using observability, reprocessing, and governance

If these issues show up,
integration should come first

The same customer/asset/user data exists in multiple places and doesn't match

Teams export to spreadsheets and manually reconcile updates

Every system change risks breaking downstream processes

Security and audit requirements are growing, but data flow is unclear

When something fails, it's hard to pinpoint where and why

We connect the data flows
your business actually depends on

System-to-System Integration

ITSM/ITOM, CRM, ERP, HR, IAM, collaboration tools, and line-of-business apps

Data Integration & Synchronisation

Golden record definition, uni-/bi-directional sync, validation and consistency rules

API Integration

Authentication, throttling, retries, idempotency, and versioning considerations

Event-driven Integration

Near real-time flows triggered by business events and system changes

Batch / ETL Integration

Scheduled sync and bulk loads with reconciliation, validation, and auditability

Common Use Cases

01

Keep user/org data consistent

Keep user/org data consistent across HR ↔ IAM ↔ operational systems

02

Improve configuration/asset data quality

Improve configuration/asset data quality by connecting authoritative sources

03

Update once and propagate

Update once and propagate changes reliably across systems

01

Connect monitoring to workflows

Connect monitoring/events to IT workflows (e.g., create and route tickets)

02

Align change/release signals

Align change/release signals across tools to reduce blind spots

01

Connect CRM context to delivery

Connect CRM customer context to delivery/support processes

02

Bring intake channels into one flow

Bring multiple intake channels (email/portal/chat) into a single operational flow

Integration success is decided in design
not after go-live

01

Discover

  • Map systems, interfaces, data owners, and failure points
  • Identify "golden record" candidates and ownership responsibilities
02

Design

  • Choose the right integration patterns (real-time/event/batch)
  • Define data models, mapping, security, and audit requirements
  • Design for reliability: retries, dedupe, idempotency, and reprocessing
03

Build & Test

  • Implement interfaces and orchestration
  • Test normal and exception scenarios (rate limits, timeouts, partial failures)
  • Plan release/rollback paths and versioning where needed
04

Operate & Adopt

  • Monitoring, alerting, runbooks, and reprocessing procedures
  • Establish change control and ownership for ongoing maintenance
05

Optimise

  • Improve based on error patterns, reprocessing volume, and data quality signals

Typical Deliverables

As-Is / To-Be integration architecture

and data flow maps

Interface inventory

and a prioritised integration backlog

Data definition and mapping

(golden record, validation rules)

Security and audit design

(access, logging, traceability)

Monitoring and operations runbooks

(alerts, reprocessing, change control)

Implemented integrations

(API, event, batch) and handover documentation

Platforms

Solutions define outcomes. Platforms enable execution.
Depending on your environment, integration can be delivered using:

Frequently Asked Questions (FAQ)

A. They are closely related, but they solve different problems. Integration connects systems and data so information moves reliably between tools. Automation orchestrates the end-to-end workflow including routing, approvals, exception handling, and outcomes. In most real initiatives, integration makes automation possible, but automation is what people feel day to day. We typically design them together so integration is stable and automation delivers measurable operational outcomes.

A. Integrations rarely fail only because an API changes. They often become fragile when the operational foundation is missing: unclear ownership, no agreed source of truth, unmanaged changes, and limited visibility into failures. Without observability and reprocessing procedures, small data issues turn into operational incidents. We design ownership, sources of truth, monitoring, and safe reprocessing from day one so integrations can evolve without becoming brittle.

A. Maintenance is unavoidable because systems change constantly. The key is to make maintenance predictable instead of risky. We align who owns what upfront, then provide monitoring, runbooks, and change control patterns so teams can update integrations safely. This reduces reliance on heroics and helps you recover quickly when changes occur.

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