Industry 4.0

Where CloudSeals is used.

CloudSeals applications are used where an AI-assisted decision needs a policy boundary, a person who approves it and evidence that survives afterwards. Today that is three kinds of work: finance operations, industrial site safety and carbon measurement, reporting and verification.

Three workflows, one discipline

Finance operations

LedgerSight is for finance teams in regulated operations: reconciliation, exceptions and approvals, with the reasoning and evidence kept alongside each recommendation.

Industrial site safety

CompliSight is for site-safety and operations teams in industrial environments: configured PPE and site-safety detection from approved CCTV feeds already in place, reviewed and closed by a supervisor.

Carbon MRV

CarbonSight is for the reporting and assurance teams who prepare carbon figures: source data, approved calculation method, exception review and evidence an assurer can check.

Who works with it

Reviewers and approvers

Finance reviewers, site supervisors and reporting teams — the people who accept or reject an AI recommendation and hold the authority to do so.

Auditors and assurers

The people who later need to follow what was seen, what was decided and on what basis. Evidence Fabric writes the record for them.

Operations and compliance leads

The people accountable for the workflow, who set the policy boundary the application works inside.

How an engagement starts

A scoping conversation, then a security review covering deployment boundaries, access, data protection and retention. Which systems are connected and how evidence is retained are agreed per deployment. Read what an accountable AI platform means at CloudSeals, or book a 20-minute walkthrough.