Automation isn't a few scripts or a tool rollout.
IKC designs automation around real processes and real data, so your teams can run it confidently today and as you scale.
The same requests come in every day/week, and people manually triage and execute them
Approvals and handoffs slow everything down
Data is spread across systems, causing duplicate entry and errors
Outcomes depend on who's on shift rather than a consistent process
Automation was attempted before, but it stalled due to exceptions and operational overhead
From intake → validation → approval → execution → completion updates
Policy-driven approvals, audit trails, and evidence capture
Accounts, access, licences, and asset handover & recovery flows
System-to-system synchronisation, validation rules, exception queues
Create tickets, route work, and trigger guided actions from events/alerts
Accounts, access, tools
Access removal, licence recovery, asset return
Automatic classification and assignment to improve resolution speed
Automated incident creation and guided response steps
Purchase request → approval → order → reconciliation workflows
With visibility and auditability
Collect → validate → publish
Customer intake → internal handoff → status updates automation
Keeping CRM, email, and collaboration tools consistent and up to date
Fast to deliver. Built to operate.
(rules, approvals, exceptions, roles)
(monitoring, error handling, changes)
For iterative expansion
Solutions define outcomes. Platforms enable execution.
Automation can be implemented using the platform(s) that best fit your environment:
Rapid automation and integration across many SaaS and systems
Strong fit for enterprise workflows and IT operations alignment
When required by your APIs, legacy systems, or governance needs
A. This is a very common situation. Connecting systems through integration helps data move, but it does not automatically create a reliable end-to-end process. Automation needs to orchestrate the workflow: who approves, where work routes next, how exceptions are handled, and what "done" means. The gap usually appears in daily operations when one edge case breaks the flow and teams revert to manual workarounds. That is why we treat integration as the foundation and design automation as an operational workflow, not just a technical build.
A. Automation can look great in a demo, but real operations include exceptions like missing data, unexpected approvals, upstream changes, and human interruptions. Many initiatives struggle when exceptions are not designed for and when there is no operating model to keep things healthy. You need monitoring to detect issues, clear ownership to respond, safe reprocessing methods to recover, and change control to prevent breakage. We design these day-two realities from the beginning so automation holds up under normal business conditions.
A. If ownership is unclear, automation becomes everyone's problem and no one's responsibility until it breaks. We align the operating model early and make it explicit: whether it sits with IT, process owners, or a CoE. Then we design governance, monitoring, and runbooks so the responsible team can operate confidently, resolve issues consistently, and improve safely over time.