Process audit
We study the specific workflow - what starts it, which data is used, where a person is involved and where delays or repeated manual work arise.
If your staff regularly retype data, sort enquiries, prepare the same reports or move information between systems, part of that work can be automated. CreateIT builds integrations and automation for a specific process - with AI where it brings a practical benefit. We connect business process automation to the systems you already use.
We study the specific workflow - what starts it, which data is used, where a person is involved and where delays or repeated manual work arise.
We establish which steps are worth automating, which systems have to be connected and whether the task needs AI. If the benefit does not justify the development, we do not recommend automation.
We build the integrations and the process logic, and test the standard scenarios and the exceptions. We adapt the way it is rolled out to the system concerned and to how critical the process is.
We define error handling, notifications and the situations in which an action has to be handed to a person. After roll-out the process can be extended as your systems or working procedures change.
Start with the process, not the technology
Describe a job your team regularly has to do by hand. We will reply within one working day and assess what it is justified to automate in it.
A good candidate for automation is a process that recurs, uses clear data sources and requires the same actions in several systems. Examples are passing the data of a supplier's document to accounting, synchronising an online store order with the warehouse, classifying a customer enquiry or preparing a regular report from several sources.
If a process can be described reliably with clear rules and system integrations, AI does not have to be added to it. We use it where unstructured text, documents or situations with several possible interpretations have to be handled. For critical actions we provide validation, limits and human involvement.
For simpler flows a ready-made automation platform such as Make, Zapier or n8n is often enough, and your team can review it too. If the data volume is large, stricter error handling is needed or the systems have no ready connectors, we build the integration in code using APIs. The choice depends on the process, the cost and who will maintain the solution.
The price depends on the number of systems, how complex the integrations are, the data volume, exception handling and whether AI is needed. A small flow on a ready-made platform and an integration across several systems are very different pieces of work, so we state the price after studying the process.