Executive & Business Intelligence
Board and executive scorecards; regional comparisons; performance trends; exception prioritisation; scenario analysis.
Umoya Operational Intelligence is an integrated portfolio of operational analytics, governed automation and improvement services designed to strengthen Fidelity’s established operations, not replace its existing infrastructure.
Rather than simply offering more software, the proposition is to identify waste, streamline work, improve visibility and verify results.
Twenty-six scoped offerings covering operations, finance, workforce, security, specialised services and improvement. The delivery status on each offering is an indication of its dependency—not a claim that it is already built.
Board and executive scorecards; regional comparisons; performance trends; exception prioritisation; scenario analysis.
Cross-region branch and site performance, workload, operational coverage and management exception registers.
Guard deployment, shift coverage, patrol verification, overtime exceptions, site inspections and relief coordination.
Alarm-to-dispatch workflow metrics, response-time bottlenecks, repeat activations and resource readiness.
Operator workloads, alert queues, alarm categorisation, shift handovers, escalations and quality analysis.
Authorised cash-service productivity, turnaround, equipment uptime, workload and exception analytics.
Vehicle use, fuel anomalies, idle time, repair patterns, availability and route efficiency.
Repeat failures, downtime, service quality, preventative maintenance opportunities and parts utilisation.
Customer service trends, recurring complaints, contract performance, SLA exceptions and retention indicators.
Cost per operation, preventable expenditure, baseline comparisons, savings controls and finance review.
Supplier lead times, recurring purchases, parts expenditure, exceptions and vendor performance.
Coverage, labour utilisation, shift allocation, training needs and overtime analysis.
Equipment readiness, scheduled inspection exceptions, dispatch workflow review and maintenance compliance.
Route and team scheduling, inspection completion, consumable usage, quality exceptions and contract performance.
Resource readiness, mission administration, equipment availability and post-operation reporting.
Incident trends, asset protection events, store technology reliability and service coordination.
Operational risk registers, inspection findings, regulatory tasks and corrective-action evidence.
Incident timelines, evidence provenance, repeat incident relationships and post-incident review.
Demand planning, maintenance forecasts and staffing scenarios after sufficient validated data is available.
Prioritised opportunities ranked by impact, evidence confidence, cost and implementation risk.
Administrative reminders, reports, tickets, approval routing, exception notifications and retry tracking.
Event correlation, operational analysis, maintenance, finance, cyber triage, response and audit agents.
Camera health, approved VMS events, video AI classification and operator assistance.
Approved response playbooks, incident coordination, escalation and human-controlled critical decisions.
Authorised monitoring integrations, threat triage, asset risk review, identity exceptions and incident evidence.
Connect verified operational skills gaps to training and measure resulting performance improvements.
Different business units need different KPIs, workflows and permissions. The shared intelligence layer should connect approved insights while respecting divisional data boundaries.
Shift coverage, attendance, patrol events, handovers, cost per site and quality audits.
Callout patterns, alarm categories, response workflow metrics and incident handling.
Alarm priority review, operator workload, exception handling and response audit.
Restricted workflow efficiency, equipment readiness, exception trends and cost drivers.
Vehicle use, repairs, fuel and maintenance reliability.
Inspection compliance, readiness, equipment availability and safety handovers.
Service delivery, workforce utilisation, consumables and contract inspections.
Equipment health, loss-prevention event trends and service exceptions.
Restricted asset availability, administrative workflows and post-operation reviews.
This example is deliberately fictional. It illustrates the case-handling experience rather than representing actual company performance.
Select a scenario to view what the intelligence system would examine.
The system should explain why an issue matters, the evidence supporting it and which actions are permitted—not just display a coloured warning.
Each proposed agent has a narrow purpose, source-access restrictions, tool permissions and measurable evaluation criteria. Agents are not described as deployed.
Data analysis, event correlation, response workflows and financial assurance should be handled by independently tested services with explicit operating boundaries. Human authority governs consequential actions.
Link authorised alarms, service events and evidence; flag duplicates.
Proposed capabilitySurface delays, repeated activity and performance exceptions.
Proposed capabilityPropose and execute only authorised low-risk playbook steps.
Proposed capabilityWork with approved event metadata and evaluated model outputs.
Proposed capabilityDetect recurrent faults and utilisation irregularities.
Proposed capabilityPrepare documented cost comparisons, never self-certify savings.
Proposed capabilitySummarise approved security-tool signals for human review.
Proposed capabilityCheck provenance, permissions, escalations and review completeness.
Proposed capabilityCamera automation is a distinct multi-stage engineering and validation undertaking. It should first complement existing monitoring with reliable health and event intelligence, then expand according to demonstrated accuracy and safety.
Visual placeholders only. No actual feeds or security-event connections.
Cash savings, productive capacity, service quality and risk reduction must be measured separately and supported by evidence.
Fictional baseline and follow-up from the original prototype.
Before claiming value, the system must require comparable measurement periods, documented intervention costs, operational approval, independent financial review and prevention of double counting.
A practical enterprise programme needs an agreed sponsor, operational data, security controls, defined milestones and evidence-based acceptance criteria.
Prioritise divisions and cost drivers; assess permitted systems, data and operational risks.
Deliver a limited dashboard and corrective-action workflow measured against historical baselines.
Introduce controlled administrative automations, review queues, alerts and exception handling.
Expand to specialised bots, video-event intelligence, supervised response and cyber integrations only after validation.
Each division receives a defined statement of work, integration assessment and measurable milestones. Automation permissions and service commitments are documented before implementation.
Nothing in this portfolio represents approval to operate on Fidelity's infrastructure or access its sensitive systems.
Clear language for explaining the proposition without claiming development or integrations are complete.
Umoya Operational Intelligence is an enterprise operational improvement and automation offering designed to strengthen existing security operations through better analytics, coordinated workflows and accountable decision support.
The proposed portfolio spans national operations; guarding; armed response; control-room efficiency; fleet and maintenance; cash, fire and facilities operations; customer and contract intelligence; procurement; financial improvement; investigations; risk and compliance; forecasting; specialist AI agents; camera-event intelligence; supervised response; and authorised cyber resilience integrations.
Our focus is to identify avoidable work, reduce administrative effort, improve resource utilisation and verify actual operational and financial outcomes.
We propose starting with a controlled, measurable operational pilot. Advanced camera monitoring and security-response automation would follow as separate engineering programmes with agreed access, approvals, testing and human control.
We aim to enhance Fidelity’s existing infrastructure and operational capability, not replace it.
Umoya Zone Lab develops people. Umoya Operational Intelligence improves operations.
Presentation disclosure: This website describes proposed services and hypothetical demonstrations; it is not connected to Fidelity operational systems.