AI automation and integrations
Automating a repetitive task starts with understanding the current workflow. We examine the tools you use, where data comes from and which steps require human approval.
Get a quote for my project →Who is it for?
For teams manually moving data between tools, preparing recurring reports, or spending time classifying incoming requests.
What can we build?
- Definition of the current workflow and automation boundaries
- Workflow integration between suitable APIs and services
- Text classification, summarization or an AI assistant where appropriate
- Error handling, human approval steps and usage notes
How we work
We begin with a sample process and the tools involved. We define a limited pilot workflow and evaluate its output with sample data. Once access permissions, failure cases, human review and recurring service costs are clear, we can consider expanding the scope.
Example use cases
Workflows we can evaluate for your needs:
- Classifying incoming requests and preparing them for the relevant team
- Combining data from multiple services into a recurring report
- Extracting information from documents for human review
What to include in your brief
Share the steps you currently perform manually, the apps you use, how often the task occurs and the output you expect. You can use anonymized examples instead of personal data.
Frequently asked questions
Does every workflow need AI?
No. Steps with clear rules can use conventional automation. We evaluate AI for needs such as interpreting text and consider how its output can be checked.
Can it work with our existing tools?
This depends on the tools' APIs, permissions and terms of use. We check these during the feasibility assessment.
Are AI and external service costs included?
Development fees and usage-based model or service charges are considered separately. Expected usage and account ownership are clarified during scoping.