Regulatory sandbox / operational assurance / decision systems
Architecture-driven assurance for governed decision systems.
Flux shows whether AI-enabled workflows are The workflow has an owner, review route and documented acceptance., Controls, approvals, exception paths and evidence requirements are mapped to the workflow., or Evidence, telemetry, exceptions and maturity posture are updated as the workflow changes..
Problem framing
Evidence is becoming the bottleneck for AI adoption.
Regulated teams are being asked to adopt AI-enabled workflows faster than their evidence models, control records, and assurance processes can adapt.
- AI adoption is moving faster than evidence.
- Execution visibility is not governance.
- Model confidence is not auditability.
What Flux does
Compiles operational reality into governed evidence.
Ingests workflows, architecture, evidence and telemetry.
Maps obligations, controls and The path taken when a decision, control or approval cannot proceed normally..
Produces evidence packs, maturity posture and The next highest-value remediation required to improve assurance posture. actions.
Why it matters
Regulated teams need more than execution visibility.
Example workflow
From workflow signal to reconstructable decision evidence.
Applicable to Fraud / AML / patient pathway / autonomous engineering workflow.
Fraud signal
AML policy
Risk recommendation
The workflow has an owner, review route and documented acceptance. / Controls, approvals, exception paths and evidence requirements are mapped to the workflow. / Evidence, telemetry, exceptions and maturity posture are updated as the workflow changes.
Human review
Action
Reconstruction
Assurance stack
Governance evidence spans the full operating stack.
01
Identity
02
source control
03
CI/CD
04
runtime
05
Retrieval sources, permissions, citations, freshness and lineage for AI-assisted outputs.
06
model/provider
07
External systems or actions an AI agent can invoke, such as tickets, APIs, messages, records or workflow steps.
08
monitoring
09
Control evidence, exception records, telemetry and review artefacts packaged for assurance.
Who it is for
Teams operating AI where assurance is part of delivery.
The challenge is not AI capability.
It is evidencing AI-informed decisions.
Lantrix works with regulated and assurance-heavy environments where decision systems must be explainable as operating architectures, not as promises.