

Most ERP projects go wrong because of questions nobody asked before signing. Here are seven that separate software that fits your business from software you will spend two years working around.
Read the postSpreadsheets are a fine start. They stop working when the same figure has to be true in several places at once, and that usually happens the day a second site opens.
A site indent came in at a ₹12 lakh local quote. Arjava's vendor rate history flagged the same material at ₹8 lakh from a Delhi vendor. Here's the landed-cost math that followed, and why nobody had to remember the price themselves.
A corrigendum pushed a tender deadline back 8 days. Arjava's validity alerts caught that the bank guarantee's 180 day window no longer covered it, before submission, and cut tender document review from 2 to 3 hours down to 3 to 4 minutes.
Three of our eight implementation steps happen before a single line of code is written. Here's why the most expensive business software failure is building the wrong thing well, and how discovery, business analysis, and process mapping prevent it.
Across two client engagements, the same pattern kept showing up: tender mistakes bleed into procurement costs, procurement gaps bleed into project execution, and disconnected data turns every decision into a manual pull from six different places.
What the system checks for you
Minutes
not days
Tender document reading
Dates, fees, eligibility and required documents pulled into structured fields
Every PO
checked on rate
Vendor rate history
Quotes compared against past rates before an order is approved
Before
submission
Validity and compliance checks
EMD and document validity checked against the latest corrigendum
Checks run inside the system; your team reviews every flag before acting.
Next step: a discussion, then six clear stages
Discover
Map your workflows
Define
Agree scope & goals
Design
Plan screens & data
Develop
Build & configure
Deploy
Go live with training
Support
Improve continuously
Human-in-the-loop AI. AI reads documents, compares data and flags risks; your team reviews and decides.