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Demo · Non-production environments & data

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This guided demo shows a living digital twin of a bank's non-production estate on Enov8. It needs a wider screen to show the whole map.

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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.

4 minutes to walk throughHarbour Bank is fictionalAll numbers illustrative

What you'll see

1

The problem without a twinShared, scarce environments, production data copied into test, clashes and waiting.

2

The twin switches onA living map of every environment, mirroring production.

3

A release, start to finishBook, spin up, provision safe data, test an AI agent, release.

4

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.

Illustrative · before

This week's environment bookings, kept in a spreadsheet

3 clashes
Mon
Tue
Wed
Thu
Fri
SIT-2
Mobile
Mobile + Payments
Payments
Cards + Payments
UAT-1
Cards
Cards
Cards + Lending
Cards
Lending
PERF-1
Data team
!
Production copy in UAT-11,284 real customer records, unmasked, copied last month.
≠
SIT-2 has driftedPayments Hub is 2 versions behind production. Tests pass here, fail live.
✕
AI agent blockedNo safe place to test the new servicing agent. It can't touch production.

Releases waiting for an environment

Harbour Bank (fictional), this quarter

R-26.4 Payments uplift+9 days
Cards fraud rules+6 days
AI servicing agentOn hold
Mobile app 7.4+4 days
Illustrative
$1.9m

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.

The map below is today's reality. Switch on the twin to see the same estate, managed.

Production (source of truth)Matches productionDriftedBroken or unknownVirtualised stub

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.

Metrics illustrative

Step 1 of 5

Illustrative

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.

Illustrative

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.

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