91% of mid-market firms need four or more days to close their books — a hidden operating tax from disconnected ERP systems

The operational tax of pre-modernized ERP shows up first in core finance work. When 91% of organizations need four or more days to close, the issue isn’t simply a long checklist — it signals that teams spend too much time gathering, validating, reconciling, and moving information across systems before they can produce an accurate view of the business. Only 9% close in one to three days; 41% take four to six, and another 36% take seven to ten.

“Finance teams want to spend that time working on the business, not working in the business by chasing spreadsheets, gathering information, and reconciling sub-ledgers. At the core, we often find the ERP system is not supporting those processes as well as it could.” — David Brobst, Consulting Manager, Business Central Practice, Velosio

That burden continues throughout the week. Sixty-eight percent of organizations lose 11 or more hours per week to manual reconciliation — a steady drain on capacity that could otherwise support analysis, planning, and higher-value decision support. More than half (54%) lose 11 to 20 hours, and 14% lose 21 to 40. Those hours aren’t just administrative overhead; they’re evidence of systems that require people to compensate for disconnected data and process gaps. Reducing that burden gives teams more room to do the work that moves the business forward.

The downstream effect is delayed action. Ninety-six percent of organizations experience recurring decision delays, and 79% say those delays last one to five days. That lag can affect inventory decisions, customer commitments, cash planning, and executive confidence. When teams have to wait for accurate information or reconcile multiple versions of the truth, the business loses time before decisions are even made — and the longer modernization is deferred, the more likely delay becomes accepted as simply how work gets done.

Compliance and audit preparation add another visible layer to the operational tax. When systems can’t quickly produce the evidence required for audit prep, regulatory reporting, or insurance reviews, teams assemble support manually and validate it across disconnected records. The result: 66% of organizations spent one to three extra weeks on these activities because their systems couldn’t produce the evidence, and 10% spent a full month or more.

The evidence gap is especially striking because only 2% of organizations say their ERP produces audit-ready evidence — meaning 98% are rebuilding that support manually every cycle. Audit preparation was the single largest time sink, cited by 64% of organizations, ahead of regulatory reporting at 58% and insurance reviews at 44%. These are best viewed not as periodic obligations but as recurring operating costs of an ERP environment that can’t surface reliable evidence on demand.

One of the most revealing signs of ERP degradation is the gap between confidence and accuracy. Eighty-six percent of organizations say they’re mostly or very confident in their forecasts, yet 82% report forecast variance of ±10% or more. Leaders may feel aligned on direction even when the outputs aren’t precise enough to support better decisions. The consequences are material: 55% name cash-flow surprises as the top consequence of forecast variance, which affects how leaders plan liquidity, prioritize investments, and manage risk.

The gap is widest at the top. Eighty-eight percent of C-suite leaders report variance of ±10% or more, compared with 52% of directors — a sign that executives may be seeing the cumulative effect of fragmented, delayed, or inconsistent data across the business.

“The C-suite is looking at a different level of data than directors see. As information moves up the chain, it becomes more summarized. If executives cannot see the detail behind the numbers, they may not understand the whys behind what they are seeing.” — David Brobst, Consulting Manager, Business Central Practice, Velosio

AI ambition is already reshaping finance and operations agendas. Sixty-six percent of organizations are piloting or deploying AI in finance or operations — but the readiness gap is substantial: only 6% say their data is clean, unified, and AI-ready. AI value depends on the quality, structure, and trustworthiness of the data underneath it, and 58% cite disconnected systems as a significant or serious AI blocker.

“AI is not going to fix the data for us. It is going to make the problem more pronounced. We need to start with the foundation, build something strong there, and support everything that comes next.” — Cameron Wagner, Solution Architect, F&O Practice, Velosio

If the underlying ERP environment is fragmented or dependent on manual reconciliation, AI tools may amplify data-quality issues rather than resolve them. In that sense, AI readiness begins with data readiness — and modernization is the practical way to close the gap by connecting systems, standardizing data, and improving governance.

If institutional friction is what slows modernization, ROI evidence is what helps overcome it. Fifty-nine percent of organizations say a clear business case with ROI evidence would most increase urgency — ahead of reaching a growth ceiling where the current system can’t scale (50%), board mandates (42%), and cyber or insurance pressure (39%). Leaders are most likely to act when they can see a measurable path to value.

“The most successful implementations have a strong ROI component. Planning with ROI in mind creates stronger buy-in from the highest level and helps drive the accountability and authority needed to make the project work.” — David Brobst, Consulting Manager, Business Central Practice, Velosio

A technology-led argument isn’t enough. The strongest business case connects modernization to specific outcomes — faster closes, reduced reconciliation time, fewer decision delays, more reliable forecasts, lower key-person risk — and accounts for the cost of not acting.