ICT 365 automates business processes with Microsoft Power Automate and the Power Platform: approvals, document processes, escalations and system handovers – complemented by AI actions that understand content and prepare decisions. More than 1,000 connectors link Microsoft 365, SAP and line-of-business systems. Proven by automated approval and escalation processes at Rockwell Automation and ArcelorMittal.
Automation rarely starts from zero: the process exists – it just runs on people, inboxes and copy-paste. Typical triggers:
We automate where it pays off – and build so it holds up in daily operation:
Not every process needs the same tool – the choice decides stability and cost.
Cloud flows in Power Automate are the first choice when systems offer APIs or connectors; RPA remains the exception for legacy systems without an interface. When the process turns into a tool with its own interface, forms and roles, a Power App grows alongside it. AI actions now take over the fuzzy steps: extracting content from documents, classifying requests, summarising text – as building blocks in the flow, with clear checkpoints. And above all stands error handling: a flow that fails silently is worse than manual work.
The more processes run automatically, the more important the question becomes: who may build what – and who operates it?
We set up flows with environments, service accounts and clean application lifecycle management instead of tying them to individuals. Permissions, data policies and monitoring are part of the build – so even dozens of flows stay maintainable and auditable. That applies especially when AI actions are involved: they get defined checkpoints where humans decide.
In the quality management system for 26,000 employees, Power Automate drives approvals and evidence.
In the SharePoint portal for buyers and suppliers, onboarding and follow-up run automatically.
We review candidates and pick the process where benefit and feasibility meet – not the most spectacular one.
Flow, people, exceptions and systems – resulting in a target picture with a reliable effort estimate.
The flow takes shape step by step, with error handling and tests – your business users review early.
The process runs for real with a limited group; edge cases surface now and flow back in.
Extension to everyone involved, monitoring and further development – on request we run the operation.
It depends on exceptions, participants and system integrations – an approval process is built quickly, an SAP integration takes more. After process mapping you receive a reliable effort estimate. The benefit is usually easy to quantify: saved handling time per case times frequency.
Clearly scoped flows with standard connectors are productive quickly; complex processes with legacy integrations take longer – a serious figure follows the process mapping. Thanks to the iterative approach you see a running version early.
Flows with standard connectors are included in many Microsoft 365 plans; premium connectors such as SAP, gateways and RPA require premium licences. As Microsoft adjusts prices and models regularly, we check in the concept phase which licensing is the most economical for your scenario.
Yes – with guard rails: we create the frame of environments, data policies and naming conventions in which citizen developers work safely, and we take over the flows that become business-critical. Training on your own processes fits in well here.
That is the most important question during the build: every flow gets error handling, notifications and defined restart points. If a step fails, someone finds out – and the case remains traceable instead of silently disappearing.
Yes: AI actions extract data from documents, classify requests or summarise content – as building blocks in the flow with human checkpoints. We use AI where it measurably saves work, and keep every decision traceable.
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