Latitude 34 Digital Twin Services
Test the change.
Before you make it.
Model a selected workflow, test AI-assisted alternatives and compare results before changing the live operation. Begin with a bounded problem and a clear decision to validate.
A Latitude 34 division
A practical twin.
A better-informed decision.
A business twin can represent one workflow, hand-off, service queue or operating decision. We map current practice, use approved data and test future-state variations in a controlled environment. Where appropriate, a validated approach can run alongside the existing process before a deployment decision.
Who we help
Organisations considering AI automation, process redesign or a new operating model, especially where customer service, operational continuity and staff adoption matter.
What we do
Focused services.
Clear deliverables.
- 01
AI Twin Opportunity Assessment
Select a bounded use case, assess readiness and define the value hypothesis, owners and success measures.
- 02
Current-to-future blueprint
Map the current process, data, constraints, proposed scenarios and the controls needed for a pilot.
- 03
Controlled AI Twin Pilot
Build and validate a focused model using approved business data and agreed evaluation measures.
- 04
Parallel Operations Trial
Compare a validated capability with current practice before deciding whether and how to deploy it.
- 05
Managed twin optimisation
Maintain model and data stewardship, extend scenarios and review ongoing performance.
- 06
Knowledge foundations for AI
A complementary Open Knowledge Format (OKF) pathway: assess priority knowledge, establish governance, build a curated Knowledge Bundle and validate approved retrieval or agent use.
How it works
A clear route forward.
- 01
Select & map
Choose the decision, interview staff and map the data and process.
- 02
Model & test
Compare human-led, AI-assisted and automated scenarios.
- 03
Validate
Review evidence, failure modes, data gaps and adoption needs.
- 04
Decide
Recommend next steps, a parallel trial or a controlled rollout.
Where to begin
AI Twin Opportunity Assessment
A readiness scorecard, current-state view, value hypothesis and validation roadmap. Knowledge-first engagements can instead begin with an OKF Knowledge Foundation Assessment.
Early-stage twins support decisions in an isolated environment. Modelled outcomes are distinguished from validated results; live operational changes require a separately approved deployment plan.
Explore a digital twin pilotTalk to Digital Twin Services
What would you
like to test?
Describe the process, available data and decision you want to test. We’ll discuss readiness and a suitable assessment before scoping any controlled pilot.
Explore a digital twin pilot hello@latitude34mediagroup.com.au