P05 · Implementation blueprint · Mappls Public Safety Command

ICCC, Public Safety & City Surveillance GIS

Video, sensors, incidents and field units are fragmented, so operators lack a common operational picture and response accountability.

01 · Target operating outcome

Define the change before choosing the technology

Can your command centre answer—on one map—what happened, what is nearby, who is responding and whether the SLA was met?

Business case: lower incident-to-dispatch/arrival time, higher asset uptime, faster investigation and auditable SLA compliance.

Baseline

Measure current volume, time, cost, failure, service, risk and revenue at the workflow level.

Target

Feed integration stable; location accuracy accepted; operator steps/time reduced; audit trail and security review passed.

02 · Solution architecture

One connected flow from source data to operational action

GIS operational picture integrating CCTV/sensors, incidents, patrol assets, jurisdictions, SOP workflows, analytics and evidence-linked dashboards. We make the map the operational control layer linking incidents, sensors, jurisdiction, resources and response—not simply a basemap beneath CCTV.

Data foundation

Map, customer, asset, sensor and enterprise data

Intelligence services

Search, routing, GeoAI, rules and spatial models

Role workflows

Incident board · Dispatch · Live units · Response map · After action

Decision and outcome

lower incident-to-dispatch/arrival time, higher asset uptime, faster investigation and auditable SLA compliance.

03 · Users and RBAC

Give every stakeholder the view and actions they actually need

Sponsor / owner

Police Commissioner/DGP

Sponsor / owner

Smart City CEO

Manager / analyst

ICCC Head

Manager / analyst

Head City Surveillance

Manager / analyst

Home Secretary

Operator / specialist

Municipal Commissioner

Operator / specialist

DGP

Operator / specialist

Police Telecom

Operator / specialist

CIO

Operator / specialist

System Integrator

The shared Mappls identity is separated from application membership. A user can be an administrator in one app, an analyst in another and a viewer elsewhere.

04 · Data and integration

Connect the minimum information needed to make the workflow real

Location foundation

Map, road, address, place, imagery, boundary and terrain layers appropriate to the decision.

Enterprise context

Customer, order, asset, vehicle, incident, task, sensor or transaction records from systems of record.

Integration pattern

APIs, SDKs, secure batch, streaming events, webhooks, files or on-premise integration depending on architecture.

Security and control

Least-privilege RBAC, audit events, encrypted transport, tenant separation and cloud, private or offline deployment.

Recommended Mappls building blocks

Asset & Personal Trackers

Battery/portable/asset location and alert devices

Product details

Traffic, ETA & Road Events

Live/historical traffic, ETA and safety/road events

Product details

ClarityX Location Analytics

Market, territory, network and spatial decision analytics

Product details

2D/3D Digital Twin

Operational 2D/3D spatial layer linked to live and enterprise data

Product details

05 · Proof of value

Use a bounded implementation to answer the scale decision

6–8 week pilot integrating selected cameras/sensors, incident feed, jurisdiction and dispatch workflow.

  • Confirm data, geography, users and workflow: How many systems are visible in one console? Are camera and jurisdiction locations accurate? What are response baselines? Who owns data updates?
  • Configure Mappls Public Safety Command for the selected role set
  • Run baseline and intervention scenarios with real stakeholder reviews
  • Evaluate agreed criteria: Feed integration stable; location accuracy accepted; operator steps/time reduced; audit trail and security review passed.
  • Package production scope and commercial model: Platform/site licence + connectors/integration + data + AMC/support; delivered directly or through prime SI.

06 · Rollout and operating model

Move from proof to governed adoption

Week 0–2
Discover

Baseline, data, stakeholders, security and architecture

Week 3–6
Configure

Data connection, role workflows, rules and dashboards

Week 7–10
Prove

Live users, measurement, change support and decision review

Production
Scale

Phased geographies, integrations, service model and continuous improvement