Why most employees never actually use your ERP (and what that costs you)

Your company spent anywhere between Rs 1 crore and Rs 5 crore implementing an ERP system. It runs your inventory, your finance, your procurement, your HR. Every transaction in your business flows through it. And on any given day, roughly 26% of your employees actually use it.

That number comes from multiple independent surveys of ERP usage across industries. It means that for the majority of people in your organisation, the ERP is something that exists, that IT manages, and that they interact with indirectly at best. The data is there. The people who need it can't get to it without going through someone who can.

This is the ERP data access problem, and it costs companies far more than most finance teams have ever tried to calculate.

Why ERPs were never designed for the people who need the data most

ERP systems were built by engineers for engineers. The interfaces are dense, the query logic requires training, and the report builder assumes the user knows what a cost centre hierarchy looks like and how to filter by it. For an IT team or a power user who lives in the system, this is fine. For a sales manager who wants to know which of her customers has outstanding credit, or a plant head who wants to know last week's rejection rate by shift, it's a wall.

The IT bottleneck nobody talks about

The result of building complexity into ERP interfaces is that most data requests end up going through IT. A department head needs a report. She raises a ticket. IT builds the query, exports the data, and sends it across. This takes anywhere from two days to two weeks depending on how the queue looks.

By the time the data arrives, the decision it was meant to inform has already been made, often with worse information, or delayed waiting for the report. According to an Accenture survey, 92% of current ERP systems represent a bottleneck that requires manual or programmatic intervention just to share data between teams. That's not a fringe problem. It's the default state of how most companies operate.

Siloed data, inconsistent decisions

The second cost is less visible but equally damaging. When different departments can't easily access the same ERP data, they build their own workarounds. Finance runs its own Excel models. Operations tracks inventory in a separate spreadsheet. Sales uses a CRM that doesn't sync with the ERP. Each team is working from a different version of the truth, and the business makes decisions based on whichever number is most convenient at the time.

Around 85% of companies say that stale or inaccessible data leads to poor business decisions. The ERP is supposed to be the single source of truth. In most organisations, it functions more like a vault: the data is accurate, but accessing it requires a key that most people don't have.

The real cost of ERP underutilisation

Most companies measure ERP ROI in terms of process automation and cost savings at implementation. Very few measure what the system costs when it doesn't get used properly.

Decision latency

Every time a business question has to go through IT before it can be answered, there's a delay. A CFO waiting two days for a cash flow breakdown. A procurement head waiting a week for a vendor spend analysis. An operations manager who can't find out which product line is running below target without calling someone. These delays add up. Across a mid-sized company with a hundred decision-makers, they represent hundreds of hours a year of time spent waiting for information that already exists inside a system the company already paid for.

Shadow data infrastructure

When people can't get answers from the ERP, they build alternatives. They export raw data and manipulate it in Excel. They create their own reports that slowly drift out of sync with the source. They build Access databases or Google Sheets trackers that give them faster answers but introduce data integrity risks. Maintaining this shadow infrastructure consumes time, creates errors, and makes the organisation less able to trust its own numbers.

Training costs that don't stick

ERP vendors and implementation partners charge significant fees for user training. Most of it doesn't stick, not because employees aren't capable, but because the interface is genuinely difficult to use without regular practice. Employees who don't use the ERP every day forget how to navigate it. Refresher training gets scheduled, costs money, and produces the same result: a small group of power users who know the system well, and a large group who avoid it.

What the ERP was supposed to do vs. what it actually does

The promise of an ERP is centralised, accessible, real-time business data. One system, one version of the truth, available to anyone who needs it. Most implementations deliver the first part, centralised data, but not the second: accessible to anyone who needs it.

The gap between data existing and data being usable

There's a significant difference between data being stored in a system and data being available to the people who need to make decisions with it. Most ERP data sits in the second category: technically accessible to someone with the right training and permissions, practically inaccessible to the majority of the organisation.

This gap is not a data problem. The data is there. It's not a permission problem either, in most cases. It's an interface problem. The way you have to ask the ERP a question is so different from the way humans naturally ask questions that most people simply don't try.

What would change if anyone could query the ERP directly

If a finance analyst could type "show me all invoices from this quarter that are more than 30 days overdue, grouped by customer" and get an answer in seconds, the bottleneck disappears. If a plant manager could ask "which production line had the highest rejection rate last month" without raising a ticket, decisions get made faster with better information. If a COO could compare actual vs. budget across all cost centres without waiting for the monthly close pack, the business responds to variance in real time rather than in retrospect.

This is not a futuristic capability. It exists now. The question is whether your ERP infrastructure is set up to deliver it.

Where this is going

The ERP market is evolving. Around 85% of ERP vendors are now incorporating AI features into their platforms, and the direction is clear: natural language interfaces that let non-technical users query business data the way they would ask a colleague a question.

The companies moving fastest on this aren't waiting for their ERP vendor to ship a built-in AI layer. They're adding a natural language interface on top of their existing ERP, one that sits between the user and the system and translates plain English questions into structured queries. This approach works regardless of which ERP the company is running, and it doesn't require a system migration or a new implementation.

At Pixeldust, we've built Nova, a product that does exactly this: it lets anyone in your organisation query your ERP data in plain English, through a simple chat interface, without needing IT support, SQL skills, or ERP training. Nova works across ERP systems and connects to your existing data.