You hire a new employee - and hope that they will "somehow find their feet".
The reality in many companies looks like this:
The result:
Studies show: Poor onboarding significantly increases resignations in the first 6 months.
The problem is rarely a lack of motivation - but a lack of structure.
This is exactly where AI can help.
Not as a substitute for leadership, but as a structure and concept generator for systematic onboarding.
Although many companies know that they need better onboarding, they fail at three points:
Onboarding often happens like this:
"In week 1, he gets to know everything first."
That is not a structure.
But there is no common plan.
A good onboarding plan needs:
Structuring this takes time.
This is where AI becomes extremely valuable.
This is because modern models candevelop a structured onboarding framework in minutes , which you then only need to adapt.
A simple and effective model consists of four phases:
Goal: Create security and context
Content:
Goal: Understand business processes
Learn new employees:
Goal: first own tasks
The employee takes on
Goal: full integration into the team
At the end of the 30 days it should be clear
The interesting thing:
You candevelop and improve this structure very quickly with AI.
In this example, we use three models:
Goal:
To develop a structured 30-day onboarding plan for a new marketing manager.
ChatGPT is very well suited for:
Create a structured 30-day onboarding plan
for a new marketing manager in a medium-sized
medium-sized B2B company.
weeks and define:
- Learning objectives
- meetings
- tasks
- initial responsibilities
- Measurement of success
Goal: The employee should be able to work productively after 30 days.
be able to work.
ChatGPT typically delivers
The plan is already usable.
But:
It usually remains generic.
It is therefore worth taking a second step.
Gemini is particularly strong for:
Here you can develop the plan further.
Here is an onboarding plan for a marketing manager.
Improve this plan with best practices from modern
marketing organizations.
Add:
- concrete tasks
- typical tools
- realistic learning objectives
- meaningful KPIs for the first 30 days. Gemini supplements frequently:
This makes the plan more practical.
Claude is particularly good at:
Here you can finalize the plan.
Optimize this 30-day onboarding plan.
Create a structured document with:
- weekly overview
- clear learning objectives
- responsibilities
- checklists
- feedback points
The document should be usable for HR and managers. Claude often creates
The result is often almost immediately usable as an internal document.
Goals:
Tasks:
Goals:
Tasks:
Goals:
Tasks:
Goals:
Tasks:
The employee is then no longer in onboarding - but productively integrated into the system.
If you want to implement this in your company:
z. B.
Prompt:
"Create a structured 30-day onboarding plan for role X."
Have the plan expanded and made more realistic.
Create from it:
Every new hire then uses this framework as a basis.
The real transformation lies not only in onboarding.
But in the principle behind it:
AI becomes an organizational design tool.
Companies can suddenly use it to
What used to take weeks can now be donein just a few hours .
Companies that develop this capability build
And this is exactly what will become a massive competitive advantage in the coming years.
If you not only want to understand AI, but also use it in a structured way in your company, then:
👉 Find out more about our AI training:
https://bloo.school
👉 Find out about our Smart Market Fit offers:
https://bloola.com/smf - The Smart Market Fit course
https://bloola.com/smf-system - The Smart Market Fit system for companies
👉 Or find out more about our consulting and automation solutions:
https://bloola.com