What processes can you automate with AI

What do we mean by AI and what precisely not

Much confusion arises because everything comes under the same heading. That is why we always make this distinction sharply.

 

What we don’t call AI

• Rule-based automation
• Fixed scripts
• If-this-then-that flows
• Standard RPA without context understanding

This works fine for predictable tasks. But it doesn’t think with you. It doesn’t understand nuance. It doesn’t learn from context.

 

What we do mean by AI

• Generative AI that creates its own output
• AI writing or summarizing texts
• AI that generates or controls code
• AI that thinks along, structures and prioritizes

Examples include Custom GPTs, Copilot solutions, AI workflows and AI agents. These are not separate tools, but digital peers for specific tasks.

 

What processes you can already automate with generative AI

In almost every organization, we see the same types of processes. These are the areas where AI is already adding value structurally today.

 

Administration and document processing

AI can read, understand and summarize large amounts of documents. Think quotations, contracts, reports and emails.

• Concrete applications
• Summarizing long documents
• Automatic preparation of standard reports
• Drafting emails based on short input
• Structuring data from unstructured texts

Result
Less manual work
Faster turnaround times
Fewer errors

 

Customer service and internal support

Many questions are repeatable. AI can handle or prepare these queries independently.

• Concrete applications
• First-line customer service via AI chat
• Answer internal IT or HR questions
• Summarize and prioritize tickets
• Creating answer proposals for employees

Result
Faster response for customers
Less pressure on employees
Consistent communication

 

Sales and marketing support

AI does not take over the thinking and writing, but it greatly speeds up the process.

• Concrete applications
• Draft texts for quotations
• Summaries of customer interviews
• Customized proposals based on input
• Content ideas and first drafts

Result
More focus on relationship and strategy
Faster switching
Higher quality output

 

IT and development

Technical teams also benefit directly from generative AI.

• Concrete applications
• Code generation and code reviews
• Update documentation automatically
• Having scripts and queries prepared
• Analysis of log files and errors

Result
Faster development
Less repetitive work
Better transferability of knowledge

 

What do you soon run out of people for

AI does not replace people. It replaces tasks. In particular, tasks with these characteristics are disappearing or changing significantly.

Tasks that primarily include

• Overtype
• Summarize
• Structuring
• Communicate by default
• Repetitive analysis

This does not mean that jobs are disappearing, but that roles are changing. People keep more time for work that requires context, judgment and responsibility.

 

Where exactly do people remain indispensable

AI is strong in speed and scale. Humans remain essential in other areas.

People continue to be needed for

• Strategic choices
• Human contact and trust
• Ethical and legal considerations
• Creativity and direction
• Final responsibility

AI supports. People decide.

 

Here’s how we tackle this in the AI brainstorming session

During the session, we don’t look at tools, we look at your organization.

Step 1: Mapping processes
Together, we clearly map out all the important processes.

Step 2: identify opportunities and pain points
Where does it get stuck
Where does it take unnecessary time
Where is quality dependent on one person

Step 3: Assess what AI can take over
We look at each process
Can AI really add value here
What will it gain in time, money and focus

Step 4: honest advice and priorities
No sales talk
No endless roadmap
But a clear overview of concrete opportunities

Always with a focus on AVG, data security and practical deployment.

 

Why this session is different

We don’t sell a standard AI solution. We start with your reality.

What to expect

• Understanding what AI can already do
• Clear distinction between hype and real value
• Concrete applications for your organization
• Honest advice even when AI is not a solution

 

Conclusion

AI is changing work. Not tomorrow, but now. The question is not whether you get started with it, but how focused and realistic you do it.

With ALTA-ICT’s AI brainstorming session, you get overview, peace and direction. So that you know where AI takes over work and where people actually become stronger.

Interested?
Feel free to send us a message. Then together we’ll see what AI can do for your organization.