Services · Automation
AI automation for recurring processes.
AI process automation combines rules, connections between tools and models that interpret information. The aim is to move a task forward with less manual work and clear review points.
Services for clients worldwide.
Tell me what you want to solveWhich processes can be assessed?
These are application examples to assess according to the data and systems available in your business. Scope is decided after reviewing the process.
- Sales enquiries: organise incoming information and prepare its CRM record.
- Documents: extract fields and flag those requiring verification.
- Customer support: classify enquiries and prepare drafts for team review.
- Internal operations: connect forms, notifications and statuses to avoid copying information between tools.
Example: from an enquiry to a sales task
A form receives an enquiry. A rule checks that required fields are complete. AI proposes a category based on the message; the system records the request and prepares a team task.
If information is missing, a duplicate exists or classification is ambiguous, the workflow sends the request for review. This example describes a possible design, not a result attributed to a client.
Integrate first, automate afterwards
Before designing a workflow, check how the tools connect: available APIs, permissions, usage limits and data formats. Also establish who is responsible when a connection fails.
Automation needs a way to detect errors, retry without duplicating actions and record what happened. Human review belongs where a decision can affect the client or business.
How to check whether the workflow adds value
Compare the new process with a sample of the previous one: time per task, corrections, completed cases and operating cost. Include review time and maintenance; speeding up one part does not guarantee improving the whole.
Frequently asked questions
Can a process be automated without replacing all the software?
It may be possible if existing tools support integrations and provide the required data. Those conditions need reviewing before defining the project.
What is the difference between automation and AI?
Automation executes defined steps. AI can interpret variable inputs such as messages or documents. One workflow can combine both and reserve important decisions for a person.
How long does AI automation take?
It depends on the number of systems, exceptions, access requirements and tests. A timeline is estimated after defining scope and reviewing real examples.