Team '25 Europe - inside BarmeniaGothaer's post-merger technology transformation

When Baris Yorganci recalls having to "shut the doors" on volunteers eager to join a major IT transformation project, it signals something fundamentally different at the merged German insurance giant BarmeniaGothaer. So often, change management typically involves coaxing reluctant users toward new systems - not in this case.

Yorganci explains:

People need to know that the work they are doing is valuable. There is not a more obvious [way] to align them.

When companies are going through merger integration or technological change, this human element may prove more critical than the architecture itself.

The integration challenge

The BarmeniaGothaer merger was closely followed across Europe for its scale. Yorganci, as Head of Workplace and Collaboration faced the challenge of enabling effective collaboration between two distinct organizational cultures from day one. German anti-trust regulations prevented even basic planning conversations until official approval, leaving technology teams with no runway to prepare unified systems. He recalls:

Technically, we needed it at the moment we announced it, but we weren't able to do that. The pain got bigger from day to day.

He made the call three months before day one: the Atlassian toolchain would serve as the collaboration backbone. Both legacy organizations had been data center customers, providing user familiarity. The cloud deployment proved decisive. As he notes:

It's ridiculous that you can't use the Microsoft tool chain by connecting two Microsoft tenants with each other and [enable] collaboration.

Within two weeks of the merger's completion, BarmeniaGothaer had executed its cloud migration. The speed was possible because of prior groundwork. Yorganci had already consolidated legacy file-based wiki systems into Confluence during his tenure at Barmenia starting in 2018. He recalls: 

It was a burden to maintain this stuff.

That early consolidation created a viable cloud path, demonstrating how incremental modernization compounds into strategic advantage.

The economics of transformation

Initial Total Cost of Ownership analyses were, in Yorganci's words, "disappointing." A straight lift-and-shift from data center to cloud showed marginal benefit, raising the fundamental question that leadership teams rightfully demand, 'What's my benefit? I have to report it to my management'. The breakthrough came from rethinking the problem. By examining the third-party applications that had accumulated over years, the team identified opportunities to replace custom solutions with native platform capabilities. The result was €1.5 million in projected cost savings over three years. Yorganci emphasizes: 

That's the reason why I call it transformation and not migration. We are transforming it from what it was before to a new solution.

Efficiency gains appeared in unexpected places. Training video production was previously outsourced to an external company requiring two weeks per clip. When his team started using Atlassian's native recording tool themselves he said that staff were "really surprised how well it worked and how fast they were able to deliver these kinds of videos." Internal teams now produce videos in approximately one hour. Yorganci observes: 

It's something you should have the moment you need it.

Human architecture

The volunteer enthusiasm wasn't accidental, Yorganci reflects:

I can't remember any period where workplace and collaboration was so important as it is right now. You do a merger because of the numbers and strategy and so on. But in the end, people have to do that, and you have to enable them.

This philosophy extends into AI integration. Rather than top-down deployment, Yorganci personally explores new AI capabilities to develop intuition about potential value. He describes his initial experience with Atlassian's Rovo AI platform: 

When I took my first look at the capabilities, I was surprised. I was overwhelmed.

The practical applications are deliberate. In a heavily regulated insurance environment, Yorganci loaded internal documentation and external regulations into the AI system and tested its accuracy: 

The answers were surprisingly precise.

For post-merger operations where employees must support customers on unfamiliar products, AI-assisted knowledge retrieval could enable real-time competency.

The HR department is exploring AI assistants for employee self-service, recognizing that:

Most times people don't want to ask these questions because they asked it before and they don't want to do it twice.

AI systems that can field repeat questions without judgment free both employees and HR teams to focus on more complex work.

Beyond chat interfaces

Looking forward, Yorganci identifies a shift — moving beyond chat interfaces that respond to questions toward agentic systems that:

...do easy tasks for the people in our company so they can work on the tough ones. That's something we have to work on. In my opinion, it has to be the next step.

The organization is rolling out JIRA Service Management for HR, aiming to create a unified view of each employee’s lifecycle — from training history to compensation changes. While progress will take time, the goal is to enable HR teams to quickly understand any employee's full context.

Delivering this kind of change requires particular leadership qualities, Yorganci explains:

You need someone who's able to stand with the pushback, and you need someone who's able to take the responsibility, who's backing up the team. 

Having smart people who can execute improvements matters, but the leader's role is to absorb organizational friction and maintain focus.

My take

Yorganci's department developed its own strategy first, then ensured every project mapped to the broader company strategy — something many organizations claim to do but struggle to execute. The result was technology decisions with clear strategic purpose rather than tactical solutions searching for business value.

The volunteer enthusiasm makes sense in this context. When employees understand how their work connects to organizational strategy, engagement follows. Yorganci puts it simply:

People need to know that the work they are doing is valuable.

For enterprises navigating their own transformations — whether merger integration, cloud migration, or AI adoption — the BarmeniaGothaer experience offers lessons that go beyond specific technology choices. Strategic clarity comes first. Incremental progress beats big-bang change. Measure friction and capability alongside cost savings. And remember that technological change is fundamentally human change.

Without strategic alignment, Yorganci warns: 

You're working for something else, I don't know what.

Or more bluntly put: 

A waste of time.

Enterprise technology markets overflow with platforms promising transformation — but none can supply the organizational nerve to commit to one path and defend it long enough for real change to take hold.