AI can potentially classify incoming text, enquiries or documents before routing them to the appropriate workflow.
Automate the right business processes with AI
SwissLayer helps businesses in Zurich, Geneva, Lausanne and across Switzerland identify repetitive workflows that can be improved through automation and AI.
From enquiry handling and email workflows to information processing and system-to-system processes, we look at how your business currently works before deciding where automation makes sense.
AI automation should begin with a business process that needs improvement, not with a decision to use a particular AI tool.
A typical workflow may involve information entering through a website, being reviewed by an employee, added to another system and followed by an email or internal notification. When the same sequence happens repeatedly, parts of it may be suitable for automation.
Depending on the process, this could involve:
The right approach depends on what the business is trying to achieve, how the existing workflow operates and which systems are already involved.
AI is useful for some types of work, but it is not automatically the right solution for every automation project.
A straightforward task may be better handled through a rule, API, scheduled workflow or existing software feature. AI becomes more relevant when a process involves information that needs to be interpreted, classified, summarised, generated or handled with more flexibility.
For example, moving a specific piece of data from one system to another may only require a defined automation rule. Classifying an incoming enquiry based on its content may require a different approach.
This distinction matters because adding AI where simple automation would work can make a process unnecessarily complex.
The objective is to identify where AI adds value and where it does not.
Business process automation can reduce the amount of repetitive manual work involved in recurring workflows.
Depending on the business, automation may support processes such as:
For example, if information arrives through a website form and employees repeatedly copy that information into another system, the workflow could potentially be structured so the information is transferred automatically.
The practical benefit is that employees spend less time repeating the same administrative step and can focus on the parts of the process that still require their input.
The exact solution depends on the existing systems and how the business process is currently handled.
Traditional automation works well when the required action can be defined clearly.
AI can become useful when the workflow needs to deal with information that is less structured.
AI can potentially classify incoming text, enquiries or documents before routing them to the appropriate workflow.
Longer information can potentially be converted into concise internal summaries where this is useful to the business.
AI can support selected repetitive content-related tasks, such as organising or processing information before it moves to another step.
Incoming enquiries can potentially be categorised or processed before being passed to the appropriate person.
AI may be useful when information cannot be handled effectively through simple fixed rules.
These are possible use cases rather than automatic recommendations. The appropriate role for AI should be determined by the actual workflow.
Marketing teams often manage recurring workflows involving leads, communications, content and customer information.
AI marketing automation can potentially support selected parts of these processes, including:
Lead routing
Email workflow support
Content workflows
Customer segmentation
Follow-up processes
Campaign related administrative tasks
For example, incoming information could be classified and routed according to predefined criteria before a member of the marketing or sales team reviews it.
AI can support the workflow without removing the need for human decisions about messaging, targeting or campaign strategy.
Repetitive communication and lead-handling processes can create unnecessary administrative work for sales teams.
AI email automation can potentially support repetitive email workflows, notifications and follow-up processes where the required actions can be clearly defined.
The workflow might involve receiving an enquiry, identifying relevant information, routing the enquiry and triggering an appropriate follow-up step.
AI sales automation can support processes such as:
The purpose is to support the sales process, not automatically replace human communication.
When enquiries arrive through multiple channels, an automation workflow can potentially help organise incoming information and direct it to the appropriate internal process.
The right setup depends on the business’s existing systems, sales process and requirements.
Some businesses receive a high volume of recurring customer questions or enquiries.
Conversational automation can potentially support parts of this interaction through:
For example, an automated conversation may collect basic information before passing the enquiry to a member of the team.
This does not mean every customer interaction should be automated. Questions requiring judgement, sensitive information or a detailed response may still require human involvement.
Rule-based automation and AI solve different types of problems.
RPA and AI can sometimes be combined when a workflow contains both structured and less structured tasks.
RPA or rule-based automation can handle clearly defined, repetitive actions, while AI can help interpret information or deal with variations that fixed rules may not handle effectively.
For example, AI could help classify incoming information before a rule-based workflow transfers it to the appropriate system.
The important question is not whether a business should use RPA or AI. It is which approach fits each part of the actual workflow.
AI can support selected content workflows where businesses repeatedly create, organise or process information.
Potential applications include:
Draft generation
Content classification
Content repurposing
Internal content processing
Workflow routing
For example, existing information could potentially be processed into an initial draft or categorised before it moves to a human review stage.
AI-generated content should not automatically be treated as ready for publication. Brand requirements, factual accuracy, tone and editorial review can still matter.
The goal is to automate appropriate parts of the content workflow while keeping the necessary human checks in place.
Whether you need a website, digital product, automation solution or design support, a few details about your project help us understand your requirements before the first discussion.
Website
CRM
AI processing
Database
Your team
AI automation rarely exists in isolation.
A useful workflow may need to communicate with the systems already used by the business, including:
Websites
CRM systems
E-commerce platforms
Databases
Business software
APIs
Internal tools
The important question is not simply:
“Can AI do this?”
It is:
“Can the required workflow connect reliably with the systems the business already uses?”
For example, a website enquiry could potentially trigger a workflow that processes the submitted information and routes it to the appropriate internal system.
The technical approach depends on the existing systems, available integrations, data structure, access requirements and workflow itself.
You may already have the software, website and business systems you need.
The problem may simply be that employees still perform certain steps manually.
Common examples include:
Manual lead entry
Repetitive data transfer
Repeated email follow-ups
Manual reporting
Repetitive content handling
Internal notifications
Information routing
For example, a business may already have a CRM and website, but employees could still be copying enquiry information from one system into another. In this situation, the automation opportunity may be the connection between the systems rather than replacing either one.
Another business may have an established email process but manually check and sort every incoming enquiry before sending it to the relevant team.
The objective may be to automate one part of the existing workflow rather than replace the entire system.
This can be particularly relevant for established businesses where changing the whole technology setup would create unnecessary disruption.
The first step is to understand how the process currently works and where the repetitive work occurs.
For businesses where employees spend time repeatedly entering, moving, organising or checking information.
The opportunity may be to automate selected steps while leaving exceptions and decisions with the appropriate team member.
For businesses receiving enquiries that need to be classified, routed, recorded or followed up.
Automation can potentially connect the stages between receiving an enquiry and getting it to the right person.
For teams handling recurring content, communication, segmentation or campaign-related administration.
AI can potentially support selected processing tasks while marketing decisions remain with the team.
For businesses where employees repeatedly collect, organise, summarise or route information.
AI may be useful where the information requires interpretation rather than simple rule-based processing.
For businesses where multiple tools need to exchange information.
The automation may focus on connecting the existing systems rather than replacing them.
As the volume of enquiries, records, communications or internal tasks increases, manual processes can become harder to manage consistently.
Automation can be considered for specific recurring workflows where the business process is suitable.
We first look at what happens today, who handles each step, which systems are involved and where repetitive work occurs. You do not need to arrive with a finished automation plan. Explaining the current process is enough to identify where potential opportunities may exist.
The workflow is reviewed to separate tasks that can be handled through standard rules from areas where AI may provide additional value.
The proposed workflow defines triggers, actions, system connections, AI involvement and points where human review may be required.
The agreed automation is implemented and connected with the relevant systems according to the project requirements.
Different scenarios, exceptions and handover points are reviewed before the automation becomes part of the live process.
Once the workflow is in use, relevant areas can be reviewed and adjusted where the process requires improvement. The scope and implementation time depend on the workflow, systems, integrations and level of automation required.
Automation should not mean removing people from every decision.
Depending on the workflow, human approval may remain appropriate for:
For example, an automation could classify and route an enquiry while leaving the final customer response to a member of the team.
This approach allows repetitive processing to be automated while keeping human judgement involved where it matters.
An automation project may interact with business data, customer information, APIs, databases, system credentials and internal workflows.
The technical setup therefore needs to consider:
The appropriate setup depends on the systems involved and the requirements of the individual project.
No automation should be treated as a black box simply because AI is involved.
AI automation can also connect with the wider digital systems around a business website.
Potential touchpoints include:
Website forms
Customer portals
E-commerce stores
Web applications
CMS platforms
APIs
Databases
We start with the workflow rather than choosing an AI tool first.
The objective is to understand what the business actually needs to improve.
AI is considered where interpretation, processing or flexibility can provide a useful role within the workflow.
Simple tasks can remain simple.
Automation can be considered alongside websites, applications, databases and business software where these systems form part of the process.
Workflows can include points for human input where judgement, verification or approval is important.
If your team is spending time on repetitive data handling, enquiry processing, email workflows, information routing or other recurring tasks, tell us how the process currently works.
Share your current workflow, the systems involved, the repetitive tasks and what you would like to improve.
We can then determine whether standard automation, AI, integrations or a combination of approaches is appropriate for the project.
