Meet the Expert: Insights from a Finance Pro in Automotive Innovation

We sat down with Laura Kim, a finance professional with over a decade in industrial equipment companies supporting automotive manufacturing. Laura has led finance teams through digital transformations at three firms, each dealing with complex regulatory environments including the EU’s Digital Services Act (DSA). She shares what truly enhances collaboration — beyond buzzwords — especially when innovation and compliance intersect.

Q1: From your experience, what’s the biggest practical hurdle mid-level finance faces in improving team collaboration?

Laura: Hands down, it’s balancing rigorous regulatory demands with the flexibility innovation requires. For finance teams in automotive industrial equipment, you’re often dealing with cross-functional projects involving R&D, logistics, even aftermarket services. The Digital Services Act changed the game by demanding transparency on digital platforms we use.

In theory, having more communication tools and open data sharing sounds great. But what actually works is purpose-driven collaboration — setting clear rules on data governance aligned with DSA before experimenting with new tech. Without that guardrail, teams either over-share sensitive info or end up siloed because they’re afraid of compliance breaches.

Q2: How did you introduce new collaborative approaches while ensuring compliance with the Digital Services Act?

Laura: In one company, we piloted a shared digital workspace integrating budget tracking with innovation pipelines — like combining SAP financial modules with Jira product boards. It was tempting to open full access, but that risked violating DSA’s content moderation and transparency requirements.

So, we created layered permission sets and automated audit trails. Everyone could see progress and contribute ideas, but sensitive financial data was locked down. We also held workshops explaining why these steps matter, which helped reduce pushback.

Interestingly, a 2023 Deloitte survey found companies that embed compliance education in daily workflows reduce collaboration friction by 27%. That frontline understanding is more effective than just dumping policy docs into an intranet.

Q3: Which emerging tools or technologies genuinely boosted collaboration in your finance teams supporting automotive equipment innovation?

Laura: We experimented with three categories:

• Real-time feedback tools: Zigpoll, for example, helped us gather quick team sentiment during approval cycles. That kind of asynchronous input keeps momentum — no need for endless meetings.
• Cloud-based document collaboration: Google Workspace or Microsoft 365 are familiar, but we layered on custom compliance checks tied to DSA rules.
• AI-assisted data summarization: This was a bit experimental but using AI to digest lengthy regulatory updates and flag relevant action points saved time.

That said, the downside is the steep learning curve for middle managers juggling finance and regulatory updates. Some older team members resisted initially. We paired tech rollouts with peer mentors, which sped adoption.

Q4: Can you share a specific example where changing collaboration practices measurably improved innovation outputs in finance?

Laura: At my second company, finance was a bottleneck in approving new supplier tech investments. We shifted from a linear review process to a collaborative “innovation sprints” model, where finance worked side-by-side with engineering in weekly stand-ups.

We used Zigpoll to capture immediate feedback on cost assumptions, reducing approval cycles from 15 days to 6. This approach boosted new tech adoption by 38% within 9 months — directly impacting product launch timing.

The catch? This method required dedicated time from finance team members, which wasn’t always feasible in smaller teams. It takes discipline and some upfront resource commitment.

Q5: What collaboration habits or rituals made the biggest difference for mid-level finance teams involved in industrial equipment innovation?

Laura: We found that consistent, short “regulatory sync” meetings worked wonders. Weekly 15-minute check-ins focused solely on any updates related to the Digital Services Act or other compliance changes. This kept everyone aligned on what could be shared or discussed openly.

Another habit was integrating collaborative “what-if” financial modeling sessions directly in team meetings. Instead of PDF reports, we used live spreadsheets and scenario tools — everyone could see impacts on budgets in real time.

Oh, and don’t underestimate the power of informal “innovation lunches” or coffee chats. I’ve seen these drive idea sharing more than formal brainstorming sessions.

Q6: How do you handle pushback or fatigue from finance teams when introducing new collaboration tools or compliance processes?

Laura: Honest communication upfront is key. I always frame changes as experiments with clear review points. If a tool isn’t working, we pivot or drop it quickly. Early wins matter — when people see a 20% time saving or fewer email chains, they get on board.

I also recommend leveraging survey tools like Zigpoll or even Microsoft Forms to gather anonymous feedback regularly. This catches frustrations early.

Still, be aware that not every tool or method suits every team. Some finance professionals prefer asynchronous updates over stand-ups, for example. Flexibility trumps rigid “best practices.”

Q7: With innovation often pushing boundaries, how do you balance openness with the strictures of data privacy and DSA compliance?

Laura: This tension is real and growing. The Digital Services Act emphasizes transparency but also privacy and content moderation responsibilities. So we adopt a “need-to-know” principle aligned with role-based access.

For instance, engineering might access broad innovation KPIs, but detailed contract or pricing data stays within finance. We’ve also automated compliance reporting — one click to generate audit-ready logs covering who accessed which data and when.

Still, this layered access can slow down collaboration if you overdo it. Mid-level finance pros should work closely with compliance teams to find a practical middle ground.

Q8: What final advice would you give mid-level finance professionals aiming to enhance collaboration for innovation within automotive industrial equipment companies?

Laura: Start small and build trust. Pick one collaboration pain point — maybe how budget feedback loops stall innovation — and pilot a structured fix. Use tools like Zigpoll for quick feedback, but don’t overload people with platforms.

Make compliance a topic everyone owns, not just the legal team. Regularly update your team on DSA implications as part of your workflows.

Above all, remember that collaboration is a human process with tech as an enabler — not a silver bullet. It’s messy, sometimes frustrating, but with persistence you’ll see faster decisions and more innovative outcomes.

Comparison Table: Collaboration Approaches vs. Compliance Impact

The journey toward better collaboration in finance isn’t about chasing every shiny new tool. It’s about pragmatic alignment with regulatory realities like the Digital Services Act — layered with continuous experimentation. The payoff is not only smoother innovation but also a finance team that’s truly integrated into the future of automotive industrial equipment.