1️⃣ Getting started: The real problem
You hire a new employee - and hope that they will "somehow find their feet".
The reality in many companies looks like this:
- The first day consists of IT access and forms
- In the first week, the employee receives unstructured information
- Tasks come spontaneously from different departments
- Expectations remain unclear
The result:
- Productivity starts late
- New employees feel insecure
- Managers invest a lot of ad hoc time
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.
2️⃣ Why the problem remains
Although many companies know that they need better onboarding, they fail at three points:
1. lacking a clear framework
Onboarding often happens like this:
"In week 1, he gets to know everything first."
That is not a structure.
2. knowledge is in the heads of individual employees
- HR knows something
- Specialist department knows something
- Manager knows something
But there is no common plan.
3. nobody has time to develop a system
A good onboarding plan needs:
- Understanding roles
- Learning objectives
- meetings
- Training sessions
- Measuring success
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.
3️⃣ The concrete solution: the 30-day onboarding framework
A simple and effective model consists of four phases:
Phase 1 - Orientation (day 1-3)
Goal: Create security and context
Content:
- Understand corporate strategy
- Get to know the team
- Tools & systems
- Expectations of the role
Phase 2 - Understanding (week 1-2)
Goal: Understand business processes
Learn new employees:
- Core processes
- Customer structure
- Products / services
- internal processes
Phase 3 - first responsibility (week 3)
Goal: first own tasks
The employee takes on
- small projects
- operational tasks
- Independent work with feedback
Phase 4 - Integration (week 4)
Goal: full integration into the team
At the end of the 30 days it should be clear
- Areas of responsibility
- KPIs
- personal goals
- development plan
The interesting thing:
You candevelop and improve this structure very quickly with AI.
4️⃣ Practical example: Developing an onboarding plan with three AI systems
In this example, we use three models:
- ChatGPT
- Google Gemini
- Anthropic Claude
Goal:
To develop a structured 30-day onboarding plan for a new marketing manager.
Step 1: Start with ChatGPT
ChatGPT is very well suited for:
- Structure
- frameworks
- first draft plans
Example prompt
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.
Result
ChatGPT typically delivers
- clear weekly structure
- task lists
- learning objectives
- feedback discussions
The plan is already usable.
But:
It usually remains generic.
It is therefore worth taking a second step.
Step 2: Deepening with Google Gemini
Gemini is particularly strong for:
- Context
- research
- structured additions
Here you can develop the plan further.
Example prompt
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.
Result
Gemini supplements frequently:
- Marketing tools
- Realistic project tasks
- Cooperation with sales
- KPI structures
This makes the plan more practical.
Step 3: Optimization with Claude
Claude is particularly good at:
- Structure
- documents
- Clarity
- Organizational design
Here you can finalize the plan.
Example prompt
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.
Result
Claude often creates
- very clean document structures
- checklists
- clear headings
- realizable formats
The result is often almost immediately usable as an internal document.
Example: Result of an AI-supported 30-day onboarding process
Week 1 - Orientation
Goals:
- Understand the company
- Get to know the team
- Understand marketing strategy
Tasks:
- Introductory meeting with marketing lead
- Product training
- Get to know the CRM system
- Analyze existing marketing campaigns
Week 2 - Process understanding
Goals:
- Understanding marketing processes
- Getting to know cooperation with sales
Tasks:
- Participation in sales meetings
- Analyze lead funnel
- Review of past campaigns
- Creation of initial content ideas
Week 3 - first responsibility
Goals:
- Take on first operational tasks
Tasks:
- Planning a small campaign
- Creation of content
- Collaboration with design / sales
Week 4 - Integration
Goals:
- independent work
- Clear areas of responsibility
Tasks:
- Planning the next marketing measures
- Definition of personal KPIs
- Feedback meeting with manager
The employee is then no longer in onboarding - but productively integrated into the system.
5️⃣ Steps that can be implemented immediately
If you want to implement this in your company:
1. define a sample role
z. B.
- Marketing Manager
- Sales Manager
- Customer Success
- HR
2. create an initial plan with ChatGPT
Prompt:
"Create a structured 30-day onboarding plan for role X."
3. use Gemini for best practices
Have the plan expanded and made more realistic.
4. use Claude for a document
Create from it:
- Checklists
- HR documents
- Onboarding guides
5. save the plan as a company standard
Every new hire then uses this framework as a basis.
6️⃣ Strategic classification
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
- Develop processes
- Define roles
- Create documentation
- Build training structures
What used to take weeks can now be donein just a few hours .
Companies that develop this capability build
- better systems
- faster teams
- greater scalability
And this is exactly what will become a massive competitive advantage in the coming years.
🚀 Next step
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
