A manufacturing company went live on a new ERP 14 months behind schedule and ₹90 lakh over budget. The software worked. The problems were: scope creep from undocumented business requirements, data migration that took three times longer than estimated because nobody had audited the source data, and a training program that was compressed from six weeks to two because the go-live date couldn't slip again.

Eighteen months after go-live, half the team was still using spreadsheets for processes the ERP was supposed to own. The system worked. The change hadn't happened.

The Three Places ERP Projects Actually Fail

1. Requirements that nobody wrote down

Every business has processes that are perfectly understood by the people who do them and completely invisible to everyone else. When these processes aren't captured before implementation begins, they surface mid-project as change requests — each one reasonable, each one adding scope, time, and budget. A three-month gap analysis that feels expensive upfront saves six months of mid-project rework.

2. Data nobody audited

The quality of the data migrated into the new ERP determines whether the system is trusted. If opening balances are wrong, inventory quantities are wrong, or supplier records are duplicated, the business reverts to workarounds within weeks of go-live. We've seen ERP projects where 40% of the total timeline was consumed by data migration — that should have been 15%. The difference was not discovering data quality issues until the migration was already in progress.

3. Change management treated as an afterthought

An ERP is not a software project. It's an organisational change project that happens to involve software. The people who will use the system need to understand why it works the way it does, not just where to click. Training that focuses on screen navigation produces users who can enter data. Training that builds business process understanding produces users who trust the system.

A Different Implementation Model

We structure ERP implementations as time-boxed sprints rather than sequential phases. Each sprint delivers a working, tested module — not a milestone document. Business users see and react to the actual system from week four, not month fourteen. Problems surface when they're cheap to fix, not when they're expensive to undo.

Go-live is not the end of the project. The 90 days post-go-live — when users encounter real data and real edge cases — are when implementations succeed or fail. We staff this phase as heavily as the build.