P06 · Implementation blueprint · Mappls Public Safety Command

112/108 Emergency Response, Dispatch & Location

Caller location uncertainty, suboptimal dispatch and weak fleet visibility increase response time and make SLA control difficult.

01 · Target operating outcome

Define the change before choosing the technology

Where are the avoidable minutes in your incident-to-arrival journey: locating the caller, choosing a unit, routing it or monitoring execution?

Business case: minutes saved in locate/dispatch/arrival, higher fleet utilisation, fewer misroutes and auditable response compliance.

Baseline

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

Target

Location accuracy, dispatch recommendation quality, route ETA accuracy, system uptime and agreed response-time delta.

02 · Solution architecture

One connected flow from source data to operational action

Map engine, caller/device location, geocoding, jurisdiction, nearest-resource routing, ambulance/patrol tracking, dispatch APIs and SLA analytics. We instrument the full incident-to-arrival chain so every avoidable minute becomes visible and actionable.

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

minutes saved in locate/dispatch/arrival, higher fleet utilisation, fewer misroutes and auditable response compliance.

03 · Users and RBAC

Give every stakeholder the view and actions they actually need

Sponsor / owner

DGP/ADG ERSS

Sponsor / owner

Mission Director 108

Manager / analyst

State Health Society CEO

Manager / analyst

Control Room Head

Manager / analyst

Home/Health Secretary

Operator / specialist

DGP

Operator / specialist

NHM Mission Director

Operator / specialist

Police Telecom

Operator / specialist

CAD/Contact Centre Head

Operator / specialist

GIS/IT Head

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

ClarityX Location Analytics

Market, territory, network and spatial decision analytics

Product details

Geocoding & Reverse Geocoding

Address-to-coordinate and coordinate-to-address

Product details

Routing & Distance Matrix

Car, truck, two-wheeler, pedestrian and multimodal routes

Product details

Tracking, Geofence & Trip APIs

Live location, trips, geofences, events and playback

Product details

05 · Proof of value

Use a bounded implementation to answer the scale decision

4–8 week control-room pilot with incident replay/live shadow mode and a limited fleet.

  • Confirm data, geography, users and workflow: Baseline at each response stage? Location source and accuracy? Jurisdiction exceptions? Fleet availability? Offline/low-network needs? SLA reporting?
  • Configure Mappls Public Safety Command for the selected role set
  • Run baseline and intervention scenarios with real stakeholder reviews
  • Evaluate agreed criteria: Location accuracy, dispatch recommendation quality, route ETA accuracy, system uptime and agreed response-time delta.
  • Package production scope and commercial model: State/site licence + API/transaction or fleet subscription + integration + 24x7 support/AMC.

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