Service · AI Process Automation
Less manual work. More productive processes.
Most business processes are a mix of manual steps, system switches, emails, documents and recurring decisions. We analyse these workflows and build automation that fits properly into the systems you already run.
01Common situations
Where work costs more time than it should.
Automation potential rarely sits in one big step. It is spread across many small, recurring tasks.
Information is re-keyed between several systems
Staff copy data by hand
Emails have to be read, categorised and forwarded
Documents are checked manually
Quotes or reports are produced again and again
Knowledge is scattered across documents, inboxes and systems
Approvals involve too many intermediate steps
Customer enquiries create heavy manual workload
02Process first
Not every process should be automated.
Good automation starts with understanding the process. A workflow that runs rarely, has many exceptions or relies on unreliable data doesn't improve with automation – it just fails faster.
Before building anything, we look at:
- Frequency
- Degree of standardisation
- Data quality
- Existing systems
- Exceptions
- Risks
- Expected economic benefit
03Our approach
Analysis → target process → automation → integration → monitoring.
01
Analysis
Understand the current process: steps, people, systems, exceptions and effort.
02
Target process
Define which steps can be removed, automated or supported by AI.
03
Integration
Connect AI, APIs, existing software and data sources.
04
Delivery
Build, test and roll out the production workflow with the business teams.
05
Monitoring
Track quality and results and keep improving the workflow.
04Examples
Typical areas of application.
Document processing
Recognise incoming documents, extract content, validate it and pass it to target systems.
Customer service
Classify enquiries, prepare draft replies and route them to the right team.
Lead qualification
Enrich and score enquiries and hand them to sales in a structured form.
CRM processes
Keep call notes, activities and master data up to date automatically.
Quoting
Assemble quote components from requirements, pricing logic and templates.
Knowledge management
Make internal documents searchable and return answers with sources.
Internal research
Gather information from multiple sources and structure it.
Data preparation
Clean and normalise unstructured data so it can be analysed.
Reporting & back office
Automate recurring reports, reconciliations and admin tasks.
05Related
When standard building blocks aren't enough.
Custom AI Solutions
For processes that need their own application, a knowledge system or specific logic.
AI Consulting
When you first need to establish which processes are worth automating.
Case: Automating a specialist process
An AI workflow with strict requirements for data protection and auditability.
Next step
Which process costs you the most time today?
Describe the workflow to us. We will tell you candidly whether automation makes sense – and how.
Discuss a process