Your ERP Is Not the Problem
Why the most expensive operational mistakes hide between your systems — not inside them.
By Kelly Breakstone Roth, CEO and Co-Founder of Prysmic · March 2026 · 8 min read
The myth of the connected stack
The global supply chain management (SCM) software market is valued between $25–35 billion today and is projected to exceed $50 billion by 2030, driven by digital transformation and e-commerce expansion (MarketsandMarkets, 2025; Statista, 2024).
Yet, despite this investment, most companies don't feel connected.
McKinsey reports that 67% of supply chain leaders still lack end-to-end visibility across their operations, and "data fragmentation across legacy systems remains one of the top three barriers to performance improvement" (McKinsey, The Resilient Supply Chain, 2023).
As Deloitte put it in a 2024 analysis:
"Most supply chains today are not under-digitized—they are over-fragmented. Companies have digitized processes in silos, creating more data interfaces but not necessarily more integration." — Deloitte, Digital Supply Networks Outlook 2024.
On paper, the stack seems airtight: ERP for finance, TMS for transport, WMS for warehousing, and specialized visibility tools layered on top.
In practice, the people keeping freight moving spend most of their time outside those systems — in email threads, shared drives, and spreadsheets.
The off-system gap
We've started calling this the off-system gap — the invisible layer where work happens between systems. It's the Slack message flagging a customs exception, the Excel sheet tracking vendor rates, or the email confirming a shipment deviation.
No dashboard captures it.
No ERP schema models it.
And no RFP scores it.
Deloitte found that companies lose between 8–12% of potential productivity because of "data reconciliation and manual coordination between enterprise platforms" (Deloitte Humanizing Supply Chains Report, 2023). Similarly, PwC's Digital Operations Study (2022) concluded that over 60% of process errors occur outside formal systems — during handoffs, email exchanges, or off-platform validation.
These hidden workflows are expensive because they're invisible.
What it looks like in practice
In one audit, a McKinsey Global Institute study found that manual data handling accounts for 30% of supply chain planning time, with "analysts reconciling data from three to five different systems on average" (McKinsey, Capturing Value Beyond ERP, 2022).
These are not edge cases.
They are the norm.
The invisible cost
When we audit shipping and billing data, the losses often fall between 10–15% of total logistics spend due to mismatches, double charges, or missed exceptions — broadly consistent with EY's estimate that up to 14% of freight invoices contain discrepancies (EY Global Logistics Study, 2023).
Independent Gartner research echoes this:
"Disconnected execution across ERP, TMS, and partner systems creates an invisible cost center — measurable only after errors surface." — Gartner Supply Chain Symposium, 2024.
These inefficiencies persist not because systems are broken, but because they were never designed to work together dynamically.
Why more software isn't the answer — but the right layer is
The instinct when you discover an off-system gap is to buy another tool — a reconciliation platform, an analytics dashboard, a better visibility layer. But as HBR observed in its 2023 article Why Companies Keep Failing at Digital Transformation:
"Complexity moves faster than integration. Every new platform adds connections — and with them, the potential for new failure points."
Each new standalone tool creates another node humans must manage: exporting, validating, and re-entering data across systems that still don't talk to each other.
The difference is between adding another system and adding an execution layer that works across all of them. The former deepens the problem. The latter eliminates it — by operating inside the channels where work already happens: email, spreadsheets, shared drives, and messaging — and turning that fragmented activity into structured, auditable output without requiring anyone to learn a new platform or change their workflow.
That's the approach Prysmic takes. Not another system to manage, but an AI-powered layer that connects the ones you already have.
The shift: from systems of record to systems of work
The next wave in operations technology isn't replacing ERPs — it's connecting the work that happens around them.
McKinsey and the World Economic Forum (2024) forecast that AI-driven operational orchestration layers could "increase supply chain productivity by 20–30% by bridging manual processes currently handled outside core systems."
Unlike system integrations, these AI agents work like real analysts — reading PDFs, matching invoices, cross-referencing rates, and flagging exceptions in real time.
Not replacing systems of record, but turning fragmented activities into structured, auditable work.