Key Takeaways
- HSP GRUPPE freed 40,000 hours and saw a 98.6% productivity boost in six months.
- 84% of professionals adopted ChatGPT weekly through shared workflows and custom agents.
- The firm is moving from AI-assisted tasks to AI-orchestrated processes for a new world.
Table of Contents
A Tax Firm’s AI Reckoning: 40,000 Hours Freed in 6 Months
A network of 81 tax advisory, auditing, and law firms has clocked more than 500,000 ChatGPT Enterprise conversations in under six months.
The result: a deliberately conservative internal projection of 40,000 additional hours of annual capacity, a potential €3.8 million in theoretical revenue, and a staggering 98.6 percent of employees reporting higher productivity.
HSP GRUPPE didn’t simply deploy a chatbot.
It rewired how professional judgment gets exercised, how client work flows through the firm, and how capacity is measured in a people-centric business.
OpenAI broke the story early August, detailing a transformation that turns the conventional narrative about AI replacing tax advisors on its head.
Inside the 84 Percent Adoption Engine
Eighty-four percent of the network’s professionals now use ChatGPT Enterprise weekly, a figure that signals far more than a successful software rollout.
HSP approached AI as an organizational capability, not another productivity tool.
Monthly AI forums created a continuous learning loop where practitioners shared use cases directly with peers. Custom Agents like AI Client Communication and the Booking Assistant SKR03 & SKR04 standardise best practices for first drafts, tone, and booking queries, always under final professional review.
Partner Magdalene Posnak cut the time needed to evaluate multiple real estate investments from nine hours to roughly two.
“An analysis of several real estate investments used to take me around nine hours. With ChatGPT, I can prepare it in about two—and use the time saved for client advisory.” —Magdalene Posnak, Partner, HSP GRUPPE
Managing Partner Frank Heibel describes the system as a genuine sparring partner for complex tax questions.
Meanwhile, Managing Director Marco Sell runs AI-powered financial dashboards live during client meetings, and lawyer Jan-Henrik Leifelt reinforces his professional judgment with the tool rather than surrendering it.
The adoption didn’t rest on individual experimentation alone. Successful experiments were deliberately scaled into repeatable, shared workflows, making AI proficiency a firm-wide asset rather than a superpower for early enthusiasts.
From Task Acceleration to Workflow Orchestration
HSP is already piloting ChatGPT Work, the agentic successor, with a small developer and administrator group before broader deployment.
The ambition is to move from AI-assisted tasks to AI-orchestrated processes—where the system proactively reviews bookkeeping, identifies missing documents, and requests them from clients throughout the year so that year-end accounting starts with a near-complete file.
CEO Carsten Schulz identified 88 automation opportunities but calls that number too small.
The real prize, he argues, is redesigning entire workflows, not digitizing today’s ones faster.
“We identified 88 opportunities for automation. But I think that’s already thinking too small. The real question isn’t how we automate today’s processes. It’s how we redesign them. That’s what opens the door to a completely new world.” —Carsten Schulz, CEO, HSP GRUPPE
That stance places HSP at the frontier of professional services, where AI moves from a content-generation sidekick to an orchestration layer that aligns client demand, regulatory timelines, and expert attention continuously.
The hard numbers reinforce the narrative: 95.9 percent of respondents reported weekly time savings, 63.5 percent saved at least two hours per week, and 25.7 percent exceeded five hours. Employee satisfaction climbed alongside client service ratings, with 79.7 percent saying they deliver better client outcomes and 78.1 percent reporting higher job satisfaction.
The Capacity Paradox That Defines the AI Era
The economic logic at HSP defies the headcount-reduction script. Firms in the network are already operating at capacity and wrestling with substantial backlogs. Every hour freed by AI becomes an hour redirected toward higher-value advisory, shorter turnaround times, or more client conversations—not an hour eliminated.
That turns the 40,000-hour capacity estimate into a growth lever rather than a cost-cutting statistic. Professionals plan significantly more work than in previous years precisely because they recognize the surplus capacity AI creates.
Schulz’s closing argument is that the real opportunity is making qualified professionals dramatically more effective, not replacing them. That philosophy, backed by rigorous adoption engineering and a clear path toward agentic workflows, offers a blueprint for midsize service firms that want to compete on expertise, not just efficiency.
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Frequently Asked Questions
How did HSP GRUPPE achieve 84 percent weekly AI adoption among its professionals?
HSP GRUPPE treated AI as an organizational capability rather than a standalone tool. They implemented monthly AI forums for peer learning, developed custom Agents like AI Client Communication and Booking Assistant SKR03 & SKR04, and deliberately scaled successful experiments into repeatable workflows across the firm.
What are the measurable economic benefits of ChatGPT Enterprise at HSP GRUPPE?
The network projected 40,000 additional hours of annual capacity, a potential €3.8 million in theoretical revenue, and 98.6 percent of employees reported higher productivity. These figures result from over 500,000 ChatGPT Enterprise conversations in under six months.
How does HSP GRUPPE apply AI in tax and auditing workflows?
AI is used for first drafts, client communication, and booking queries via custom agents, all under final professional review. For example, partner Magdalene Posnak reduced time for real estate investment analysis from nine hours to two, enabling more time for client advisory.
What is ChatGPT Work and how is HSP GRUPPE piloting it?
ChatGPT Work is the agentic successor to ChatGPT Enterprise. HSP GRUPPE is piloting it with a small developer and administrator group to move from AI-assisted tasks to AI-orchestrated processes, such as proactively reviewing bookkeeping, identifying missing documents, and requesting them from clients throughout the year.
Does AI adoption at HSP GRUPPE lead to job reductions?
No. HSP GRUPPE experiences a capacity paradox: the firm already operates at capacity with backlogs. Hours freed by AI are redirected to higher-value advisory, shorter turnaround times, and more client conversations—not eliminated positions. The 40,000-hour capacity estimate is seen as a growth lever, not a cost-cutting statistic.
What time savings did HSP GRUPPE employees report from using AI?
95.9 percent reported weekly time savings, 63.5 percent saved at least two hours per week, and 25.7 percent exceeded five hours. Additionally, 79.7 percent said they deliver better client outcomes and 78.1 percent reported higher job satisfaction.
How can other firms replicate HSP GRUPPE’s AI success?
Carsten Schulz advises focusing on redesigning entire workflows rather than simply automating today’s processes. Successful AI adoption requires building organizational capability through continuous learning loops, sharing use cases, scaling proven workflows, and treating AI as a sparring partner that augments professional judgment.
