HSP GRUPPE turned ChatGPT Enterprise into more than a tool: they made it part of their operating model. What happened? Less repetitive work, more time for professional judgment, and an organizational culture that learns and scales AI solutions.
How they implemented it
It wasn't just a technical rollout. HSP treated AI as an organizational transformation: solid processes, clear governance, and ongoing training. Months of internal forums let teams share practical cases and standardize the ones that worked.
Did they leave adoption to chance? No. They combined the technical security of ChatGPT Enterprise with strict internal rules about client data and always kept the final decision with the professional: the AI supports, it doesn't replace.
Concrete results
- 500,000+ conversations in six months (Feb 1 - Jul 14, 2026) in the shared ChatGPT Enterprise space.
- 84% weekly active use, with 755 weekly users and 913 unique users in that period.
- 98.6% of employees reported higher productivity; 84.6% reported better work quality.
- 95.9% said they save time weekly; 63.5% save at least 2 hours and 25.7% at least 5 hours per week.
- Conservative estimate: roughly 40,000 additional annual hours of capacity; theoretical revenue potential of ~€3.8 million (capacity scenario, not guaranteed income).
These numbers aren't abstract: one partner cut real-estate investment analysis from 9 hours to 2; another partner uses the AI as technical sparring for complex tax questions; and the firm standardized shared agents that produce consistent draft communications for clients.
What they did in practice
- They created shared Agents: for example, one Agent for client communications and another for classifying accounting entries (SKR03 & SKR04).
- They piloted ChatGPT Work with a small group before scaling, to understand automating complex flows without sacrificing governance.
- They paired AI specialists with business experts to turn proofs of concept into repeatable workflows.
'Technology moves faster than organizations transform. Our challenge wasn't introducing AI; it was helping the organization absorb it.' - Carsten Schulz
Practical lessons you can apply
- Treat AI as an organizational capability, not an individual app.
- Invest in processes, governance, and quality before deploying many tools.
- Start with business problems, not AI features.
- Create regular forums to share use cases and accelerate the spread of good practices.
- Always keep professional review and final responsibility in human hands.
- Pilot small and measure adoption and impact, not just technical deployment.
What does this mean for clients, employees and entrepreneurs?
For employees: fewer repetitive tasks and more time for higher-value work. For clients: faster responses and deeper advice. For entrepreneurs and small firms: the path isn't competing on features, it's building processes and a culture that let you scale AI safely.
HSP also shows that AI isn't just a way to do the same things faster: it's an opportunity to redesign whole workflows. For example, using ChatGPT Work to review accounting throughout the year and proactively request documents could remove bottlenecks at year-end closings.
Final reflection
Will AI replace tax advisors? HSP answers with data and practice: no. The bet is different and more interesting: make professionals far more effective, shift time toward expert judgment, and design new processes that weren't possible before.