Automation of clear rules
Standard actions can run quickly when input is structured and systems do not change often.
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RPA or AI automation: the choice depends on input and rules.
RPA fits stable, rule-based actions. AI helps when text, documents, conversations or non-standard input must be understood. In many cases the best answer is not either-or, but a hybrid.
A guide to choosing between rule-based automation, AI and a hybrid approach.
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How to separate automation types
If a process has clear rules and stable systems, RPA or conventional automation may be enough. If interpretation, classification or extraction is required, AI becomes an important layer.
Workflow Automation
Connect the tools you already use and automate processes that currently happen through email, spreadsheets and manual work. Data is automatically collected, checked and sent where it needs to go, while non-standard cases are handed to your team.
View serviceAI Strategy & Audit
Identify where AI can create the greatest value for your business before development begins. We review your processes and the systems you use, assess constraints and prioritise automation opportunities by value, complexity and implementation risk.
View serviceBusiness Digitalisation
We review how work, information and customer journeys move through your business, then design the systems, integrations and automation required to improve them. Start with a defined project or simply show us what is no longer working.
View serviceOutcomes
What changes in practice
Understanding unstructured input
AI helps process emails, PDFs, conversations and documents where fields are not always in the same place.
Hybrid process
AI can understand the input while the automation layer safely performs system actions.
Before and after
How the operating model shifts
The team decides to implement RPA or AI before understanding where the rules, exceptions and risks sit in the process.
Each step gets the right logic: rules, AI interpretation, human approval or system action.
Estimation model
How to estimate the business case
System stability
Do screens, fields, forms and rules change often?
An unstable user interface increases RPA maintenance cost.
Exception volume
How many cases do not follow the standard process?
Many exceptions often mean AI or a human review layer is needed.
Maintenance need
Who will maintain rules, errors, credentials and system changes?
Cheap automation can become expensive when nobody owns it.
What to assess
- Legacy systems without APIs
- Documents, emails and unstructured input
- APIs and data exchange options
- Review and exception queues
- Error monitoring and audit logs
Risks and safeguards
Fragile UI automation
RPA that relies on screen clicks can break when a form or field changes.
Wrong tool selected
AI should not solve simple rules, and RPA should not interpret complex documents without help.
Lack of governance
Automation needs ownership, monitoring, access control and clear stop rules.
FAQ
Frequently asked questions
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View serviceHow much does AI automation cost?
What affects AI automation pricing: process scope, integrations, data, risk, support and pilot definition.
View serviceStart with one process
Pick one repeated process and test whether automation has a business case.
Share the workflow, volume and handoff rules. We will help you define a focused pilot with a clear scope and measurable outcome.
Discuss automation