GreyOrange CFO Urges Finance Leaders to Slow Tech Rollouts Amid Tariff Uncertainty

GreyOrange CFO Urges Finance Leaders to Slow Tech Rollouts Amid Tariff Uncertainty

Finance chiefs should resist the urge to overhaul their technology stacks all at once, particularly as tariff and regulatory uncertainties cloud the economic outlook, according to Guido Frantzen, CFO of warehouse automation firm GreyOrange.

Frantzen's advice—delivered as finance leaders face mounting pressure to deploy AI and automation tools—represents a notable departure from the "move fast" ethos that has dominated corporate technology strategy in recent years. For CFOs navigating both economic volatility and board-level expectations around digital transformation, the message amounts to permission to pump the brakes.

The timing is pointed. With tariff policies in flux and regulatory frameworks for emerging technologies still taking shape, finance organizations that commit to sweeping system overhauls risk building on unstable ground. An incremental approach, Frantzen suggests, allows finance teams to adapt as conditions clarify rather than locking in decisions that may need costly reversals.

The counsel carries particular weight coming from a CFO whose company operates in the supply chain automation space—an industry where technology adoption is typically framed as urgent and comprehensive. If even executives selling automation solutions are advocating restraint, it signals a broader recalibration of how finance leaders should think about technology investment cycles.

For finance chiefs, the practical implication is straightforward: tariff uncertainty doesn't just affect procurement costs and margin forecasts. It also creates a case for staging technology deployments rather than attempting enterprise-wide transformations. When the regulatory environment is shifting, the flexibility to adjust course mid-implementation becomes more valuable than the efficiency gains of a big-bang rollout.

The incremental strategy Frantzen advocates also aligns with how many finance organizations actually operate, even if it contradicts the vendor pitch decks. Most CFO teams lack the bandwidth to rip out and replace core systems while simultaneously managing quarterly close, investor relations, and strategic planning. Breaking technology initiatives into discrete phases—testing in one business unit before expanding, or implementing one module before adding others—matches the operational reality of finance departments that can't afford to destabilize their reporting infrastructure.

What remains unclear is how finance leaders should prioritize which technology investments to tackle first in an incremental approach, and which to defer. Frantzen's comments don't provide a framework for sequencing decisions, leaving CFOs to determine their own staging strategies based on their specific pain points and risk tolerances.

The broader question his advice raises: if the current environment calls for caution on technology deployment, what does that mean for the AI initiatives many finance teams have already kicked off? The answer likely depends on how far along those projects are and whether they can be scaled back to pilot phases without losing momentum entirely.