Six Ordinary Mistakes
Blow Up Fusion Go-Lives.
None Are Exotic.
Every Oracle Fusion go-live we've run has hit at least one of these patterns. They aren't technology problems. They're ownership gaps that surface on cutover weekend — when there's no time left to fix them.
FIELD NOTE
Six failure patterns tracked across live cutover weekends. A full-volume mock cutover alone eliminates the two most costly go-live incidents.
Six Patterns, Repeated On Nearly Every Engagement
Every Oracle Fusion go-live we've run — across finance, HCM, and supply chain — has hit at least one of the six failure patterns below. None of them are exotic. They're the ordinary, unglamorous mistakes that quietly compound for months and then surface all at once on cutover weekend, when there's no time left to fix them properly.
This isn't a checklist copied from an implementation guide. It's what we've actually seen go wrong across dozens of engagements, why it keeps happening even to experienced teams, and the specific checks that catch each one while there's still time to act.
Each mistake below includes a risk meter showing how severe it typically is and how late it tends to surface — because the mistakes that show up latest are the ones that hurt the most.
Treating data migration as an IT task, not a business decision
The pattern
IT owns extract-transform-load; the business signs off on a 200-row spreadsheet sample late in the cycle. Nobody catches that customer master data has three conflicting definitions of "active" until the first post-migration report comes back wrong.
Why it happens
Data governance feels like process overhead early in a project, when timelines are tight and the perceived urgency is configuration, not the unglamorous work of agreeing what a clean record actually looks like.
Catch it before go-live
- Assign a named business data owner per object — customer, supplier, item, chart of accounts — before design starts, not before UAT.
- Run a full-volume trial load into a non-production Fusion instance at least eight weeks out, not a 200-row sample.
- Reconcile legacy-to-target record counts and control totals after every trial load, not just the final one.
- Get sign-off on data quality exceptions in writing, with an owner and a date — not a verbal "we'll fix it later."
Underscoping security and role design
The pattern
Teams copy Oracle's seeded roles with light modification, then discover during UAT that a finance user can approve their own purchase orders, or that a plant manager can't see their own inventory.
Why it happens
Fusion's data role, duty role, and privilege model is genuinely complex. Role design is often scoped as a configuration line item rather than an architecture exercise, so it's under-resourced relative to how much it actually matters.
Catch it before go-live
- Map roles to segregation-of-duties requirements before configuration starts, not after.
- Run a dedicated SoD conflict report against your configured roles, not just Oracle's seeded ones.
- Test roles with real users doing real transactions in UAT — admin accounts hide the problems that matter.
- Build a role-change process for day two. Role gaps almost always surface during the first close cycle.
Lift-and-shift of legacy customizations
The pattern
Every legacy report, workflow, and approval hierarchy gets carried over almost unchanged to reduce change management risk. The team ends up rebuilding the old system's complexity inside a platform that was chosen specifically to avoid it.
Why it happens
Business stakeholders equate "different" with "risk," and it's easier to approve "same as before" under deadline pressure than to redesign a process from first principles.
Catch it before go-live
- Score every proposed customization against one question: does this exist because of a real regulatory or competitive requirement?
- Cap extensions to the highest-value 20% and redesign the rest around standard Fusion process.
- Document every customization's business owner and patch-testing responsibility before go-live, not after.
Skipping a full-volume mock cutover
The pattern
The team validates the cutover runbook step by step, but never runs it end-to-end, under a clock, with production-scale data volumes — until the actual go-live weekend.
Why it happens
A true mock cutover needs a production-equivalent environment and a full weekend of team time, both of which feel expensive when the schedule is already tight.
Catch it before go-live
- Run at least one full mock cutover, timed, with production data volumes, three to four weeks before go-live.
- Time every step and compare against your actual cutover window — a runbook that doesn't fit is the finding, not a surprise on the night.
- Rehearse the rollback decision point and criteria, not just the forward path.
Treating integrations as a checklist, not a load test
The pattern
Each interface is tested individually and marked "passed," but nobody tests what happens when forty interfaces fire in sequence during the real nightly batch window — and the batch simply doesn't finish before business opens.
Why it happens
Interface testing is usually owned by separate teams per system, so nobody owns the end-to-end timing of the whole integration landscape as one thing.
Catch it before go-live
- Assign one owner for end-to-end batch sequencing and timing, not just individual interface owners.
- Test the full integration landscape together, at production volume, in the batch window it will actually run in.
- Build monitoring and alerting for batch job failures before go-live, not as a post-incident fix.
No hypercare model defined before go-live
The pattern
The project team disbands or rotates off within days of go-live — right as the business hits its first real month-end close on the new system and generates the highest volume of support tickets the project will ever see.
Why it happens
Hypercare gets budgeted as a generic "support" line item instead of a scoped, staffed phase with its own plan, so it's the first thing cut when the project runs over budget.
Catch it before go-live
- Staff hypercare with the people who built the system, not a generic help desk, for at least the first close cycle.
- Define hypercare exit criteria in advance — ticket volume, close timeline, aging — not an arbitrary calendar date.
- Keep a fast-track escalation path to the implementation team for the first 90 days.
None of these six mistakes are really about Oracle Fusion as a product.
They're about treating a business transformation as a technical rollout — assigning ownership too late, testing at too small a scale, and disbanding the team just as the real work of adoption begins.
The projects that avoid all six don't have better technology. They have earlier, more uncomfortable conversations about ownership, and they rehearse cutover like it's the actual event — because for one weekend, it is.
Not sure which of these six you're exposed to?
Our architects will run a no-obligation readiness assessment against your cutover plan and flag the gaps while there's still time to fix them.