Deployment & Assurance
Operational clarity for long-life airport systems
Airport deployments follow a defined sequence: survey, design, pilot, acceptance audit, and rollout.
Installation is treated as infrastructure work, not experimentation. Device counts are minimised to reduce cabling, access work, and long-term maintenance exposure. Existing physical constraints are respected; once accepted, installations are not repeatedly adjusted.
Ownership model
Accuracy is addressed once, formally, at the start of operations.
Acceptance is based on predefined audit windows, agreed metrics, and documented variance thresholds. The same method applies to any future review.
Ownership model
Post-deployment operation is designed to be uneventful.
Monitoring focuses on device and data-flow health rather than passenger behaviour. Calibration is stable unless physical or operational conditions change.
Operating principles
Integration is intentionally bounded.
Outputs consist of events and aggregates suitable for APOC, BI, or reporting systems. No raw video is required for operation or audit.
Integration model
Commercial terms are structured to remain predictable over time.
Normal airport evolution - traffic growth, seasonal change, or organisational restructuring, does not trigger renegotiation or system redesign.
Governance principles
Case Study
Some of our deployments across various airports
Case Study 1
The airport operates a single main terminal with mixed Schengen and non-Schengen flows. Passenger monitoring was previously handled through periodic manual surveys commissioned every two years. The airport required continuous data but had no internal analytics team and limited appetite for system ownership.
Operational ownership and long-term maintenance.
The airport operates a single main terminal with mixed Schengen and non-Schengen flows. Passenger monitoring was previously handled through periodic manual surveys commissioned every two years. The airport required continuous data but had no internal analytics team and limited appetite for system ownership.
The deployment defined ownership boundaries at contract level. Installation was delivered by a local partner under a fixed scope. System configuration, accuracy methodology, and acceptance criteria were centrally governed. Post-acceptance, the airport’s role was limited to physical access and incident escalation.
No ongoing calibration cycles were introduced. Monitoring focused on device and data-pipeline health, not behavioural variance. After acceptance, no internal team was formed and no new operational role was created.
Principle reinforced: Clear ownership boundaries reduce organisational load.
Referenced sections: MSA – Deployment Responsibilities; Support Schedule.
Case Study 2
The airport operates multiple terminals built across different decades, each with varying ceiling heights and cabling constraints. Any new infrastructure work requires coordination with facilities, fire safety, and external contractors.
Cabling cost and installation disruption.
Previous technology projects had failed due to underestimated civil works and repeated ceiling access.
The deployment prioritised coverage efficiency over device density. Camera counts were minimised through overhead placement and wider zones. Installation was treated as one-time infrastructure work, coordinated alongside existing maintenance windows.
Once installed and accepted, no repositioning was permitted unless triggered by a structural change. This avoided repeat access approvals and follow-up cabling work.
Principle reinforced: Install once, accept once, and avoid iterative change.
Referenced sections: SOW – Installation Scope; Change Control Clause.
Case Study 3
The airport operates multiple terminals built across different decades, each with varying ceiling heights and cabling constraints. Any new infrastructure work requires coordination with facilities, fire safety, and external contractors.
Cabling cost and installation disruption.
Previous technology projects had failed due to underestimated civil works and repeated ceiling access.
The deployment prioritised coverage efficiency over device density. Camera counts were minimised through overhead placement and wider zones. Installation was treated as one-time infrastructure work, coordinated alongside existing maintenance windows.
Once installed and accepted, no repositioning was permitted unless triggered by a structural change. This avoided repeat access approvals and follow-up cabling work.
Principle reinforced: Install once, accept once, and avoid iterative change.
Referenced sections: SOW – Installation Scope; Change Control Clause.
Case Study 4
The airport operates under strict privacy governance. Any system involving video or personal data requires extensive legal review and executive sign-off.
Legal and privacy exposure.
The legal team sought to avoid expanding data protection scope.
The system was deployed without raw video retention. Acceptance audits relied on controlled observation periods rather than stored footage. Legal review focused on data outputs only.
This significantly reduced DPIA scope and ongoing compliance obligations.
Principle reinforced: Eliminating video eliminates legal overhead.
Referenced sections: MSA – Data Use & Retention; Privacy Schedule.
Case Study 5
The airport planned a phased rollout aligned to annual capital budgets. Full deployment was not approved upfront.
Commercial predictability across years.
Each phase reused the same deployment template and acceptance method. Pricing and scope were fixed per phase, avoiding renegotiation. Earlier phases did not require redesign when later phases were approved.
Principle reinforced: Standardisation enables phased commitment.
Referenced sections: Commercial Terms; Term & Renewal Clause.
Case Study 6
The airport had experienced a leadership change mid-project, resulting in renewed scrutiny of all vendor contracts and system performance.
Executive re-review after acceptance.
A formal acceptance record, including audit methodology and signed thresholds, was presented. A re-audit followed the same predefined method, producing comparable results.
No reinterpretation of metrics was required. The system remained accepted without renegotiation.
Principle reinforced: Documented acceptance prevents retrospective disputes.
Referenced sections: MSA – Acceptance & Audit Schedule.
Case Study 7
The airport APOC required congestion and dwell indicators but did not want operational responsibility for underlying systems.
Operational accountability creep.
APOC consumed read-only indicators. No configuration access or tuning authority was granted. Responsibility for system behaviour remained clearly external.
Principle reinforced: Consumption without ownership.
Referenced sections: Data Boundary Clause; APOC Interface Schedule.