Demos / Non-production environments & data
Guided simulation · Platform: Enov8 Simulated
A digital twin of your test estate. Safe data, on demand.
See what changes when every non-production environment mirrors production, carries only masked production data, and can be booked in minutes, not weeks.
What you'll see
The problem without a twinShared, scarce environments, production data copied into test, clashes and waiting.
The twin switches onA living map of every environment, mirroring production.
A release, start to finishBook, spin up, provision safe data, test an AI agent, release.
Why it mattersSpeed, privacy and safe AI, in plain numbers.
1 · The problem without it
Releases wait for environments.
Test data carries real customers.
Most banks run a handful of shared test environments that everyone fights over. Nobody can see what's in them, and the quickest way to get realistic data is to copy production.
This week's environment bookings, kept in a spreadsheet
3 clashesReleases waiting for an environment
Harbour Bank (fictional), this quarter
cost of delay a quarter: 12 releases × 8 days waiting × ~$20k a day in team time and deferred benefit. Your figures will differ.
Scarce
Shared and scarce
A few environments, many teams. Work queues behind whoever booked first.
Privacy
Production data in test
Copies of real customer data sit in places with weaker controls.
Drift
Clashes and drift
Versions fall out of step with production, and bookings collide.
Delay
Releases wait
Change is ready, but there's nowhere to test it. Benefits slip.
AI risk
Agents can't be tested
AI agents can't be let loose on production, and there's no safe stand-in.
2 · The twin switches on
Every environment, mirrored and visible.
Enov8 builds a living map of the non-production estate against production: what's running where, which version, what data it holds, who has it booked and whether it's healthy.
Environments in step with production
1 of 4
Unmasked production copies
2
Booking clashes this week
3
Health known, in real time
No
3 · One release, start to finish
Click through a release on the twin.
Release R-26.4 needs a payments test environment by Friday, plus a new AI servicing agent to test. Press each step to run it.
Step 1 of 5
Release R-26.4 · shipped on time
Environment lead time
10 days
15 min
Unmasked records in test
1,284
0
Booking clashes
3 a week
0
Release delay
+9 days
On time
Ready.
4 · Why it matters
Faster releases. No real data in test. AI you can prove.
Days → hours
Speed to release
Teams get a production-like environment when they need it, so ready change stops waiting.
6 of 6
Production data that still works end to end
True production data, masked, with each customer's values matching across every connected system, so end-to-end tests still join up.
1 view
Control and evidence
Every environment, version, booking and data set is visible, with a record of who used what.
Safe AI
Agents tested before go-live
AI agents prove themselves on a faithful twin, behind guardrails, never on production.
Why not synthetic data?
Synthetic data can't reproduce real production relationships and edge cases across linked systems, so it falls short for end-to-end testing of core banking and mainframe. Masked production data with referential integrity does the job.
Data compliance
Enov8 uses AI to profile your data and generate deterministic masking routines, so production-like test data keeps PII protected. Enov8 positions this for privacy obligations including APRA, CCPA, GDPR, PDPO, PDPA, HIPAA, FCRA and ECPA.
Non-production environments & data, run for you on Enov8.
Innovo's Enov8 specialists map your estate, stand up the twin and run it with you. Start with a 1-week assessment of your environments and test data.