AI in Team Wellbeing — Tools, Prompts, Automations

A full one-day training showing how to use AI tools (ChatGPT, Claude, Gemini, Microsoft Copilot) to truly support team wellbeing — without putting data at risk. Participants learn wellbeing-oriented prompting, routine automation, pulse survey and feedback analysis, and burnout-signal mapping. The training expands the introductory webinar into a full program with practical use cases for HR and team management. A key element is security and data protection in AI tools — PII, GDPR, company policies, on-premise vs cloud. The business ROI includes higher team productivity, lower burnout, better retention, and a conscious and safe AI rollout in the HR and wellbeing space.

Benefits

You will understand the 2026 AI tool landscape and choose the right tool for your wellbeing context
You will master prompting basics and build your own prompt library for your team
You will implement concrete AI use cases in optimizing your own and your team's routines
You will learn to analyze pulse surveys and burnout signals using AI
You will master security and data-protection rules in AI tools (PII, GDPR, company policies)
You will choose the right deployment mode (on-premise vs cloud vs enterprise) for your organization's data
You will design an AI usage policy for your organization along with a team training plan
You will build a map of AI-supported wellbeing KPIs with measurable pilot goals

Who is this training for?

HR leaders and wellbeing managers designing wellbeing programs in the organization

Team managers wanting to support team members' wellbeing with AI

L&D and People Operations specialists responsible for pulse surveys and feedback loops

Knowledge workers wanting to implement AI in optimizing their own routines and tasks

IT and compliance teams responsible for the organization's AI usage policy

Founders and C-level leaders consciously rolling out AI in the people area, not only the product

Data Protection Officers (DPOs) and people responsible for GDPR compliance

Prerequisites

Basic familiarity with office tools (email, calendar, text editor, spreadsheet)
An account in at least one AI tool (ChatGPT, Claude, or Gemini) — a free tier is sufficient
No prior technical knowledge or programming experience is required
Optionally — a laptop with access to your chosen AI tool during the training
Recommended — an HR, manager, or lead role with responsibility for a team or wellbeing program

Training program

The 2026 AI tool landscape — ChatGPT, Claude, Gemini, Microsoft Copilot, Perplexity, local LLMs
What AI can really do in wellbeing — text analysis, summarization, pattern identification
What AI cannot do — medical diagnosis, therapy, personal decisions, employee evaluation
Limitations of language models — hallucinations, lack of current knowledge, training bias
The line between 'AI supports the leader' and 'AI replaces a human conversation' — implementation ethics
A map of AI applications in the organization — from productivity to team wellbeing support
Why tool access alone is not enough — the difference between 'we have ChatGPT' and 'we know how to use it'

Anatomy of an effective prompt — context, role, task, output format, constraints
Role prompting — when 'you are an HR specialist' truly improves the answer and when it hurts
Iterative prompt refinement — from first draft to production version in 3–5 steps
Prompt patterns useful in wellbeing — checklists, problem decomposition, devil's advocate perspective
Few-shot prompting — teaching the model from 2–3 examples in your own company context
Building your team's own prompt library — reusable templates
Common antipatterns — overly general prompting, no constraints, asking for opinions instead of facts
Live prompting — participants build their own prompts for their wellbeing cases

Daily planning with an AI assistant — prioritization, calendar blocking, matching to the energy curve
Smart task list — AI as a sparring partner when decomposing projects into steps
Daily decisions — using mental models (inversion, premortem, 5 Whys) with AI as facilitator
Meeting notes — automatic transcription, summary, action-item identification
Team communication — drafts of emails, briefs, and retro feedback with AI as editor
Weekly routines — review, planning, reflection guided by an AI coach
Personal Knowledge Management with AI — organizing notes, connecting ideas, retrieval

Pulse survey analysis — result aggregation, problem-cluster identification, sentiment analysis
Burnout signals in data — patterns in communication frequency, working hours, response language
360° feedback aggregation — synthesizing open responses into thematic areas and recommendations
Drafting wellbeing communications to the team — newsletters, campaigns, educational materials
Preparing for 1-on-1s — AI as a sparring partner before a difficult conversation with a team member
Benefits gap analysis — comparison with market benchmark, recommendations for specific personas
Personalizing the wellbeing program — matching initiatives to different employee segments

PII (Personally Identifiable Information) — what it is and what you must NEVER paste into public models
GDPR in the context of AI tools — legal basis, data-subject rights, data transfer outside the EU
Anonymization and pseudonymization before prompting — practical data-masking techniques
Company AI usage policy — key elements, an adaptable template
On-premise vs cloud vs enterprise plan — which mode for which data in the organization
DPA (Data Processing Agreement) with AI vendors — what to check, what to watch out for
Prompt audit — where employees expose sensitive data and how to prevent it
Incident case studies — what went wrong in other companies and what to learn without your own losses

Selecting tools for the team's profile — ChatGPT, Claude, Gemini, Microsoft Copilot, local LLMs
AI usage policy — a 12-section document template to adapt in the organization
Team training plan — a 4-week rollout program with measurable goals
AI-supported wellbeing KPIs — what to measure, how to interpret, how to communicate to the team
AI wellbeing pilot — choosing a group, hypothesis, metrics, success criteria
Role map — who is responsible for what in the organization (HR, IT, compliance, manager, employee)
Change communication — how to introduce AI to the team without resistance and job-loss anxiety