P06 · Representative solution case · Government / Emergency / Health

112/108 Emergency Response, Dispatch & Location

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

Evidence distinction: this is a representative solution case constructed from the source requirements and Mappls delivery pattern. It is not presented as a named-customer outcome unless a separate verified customer story is explicitly linked.

01 · Operating context

The decision environment and the problem to change

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

Primary operating owner

DGP/ADG ERSS; Mission Director 108; State Health Society CEO; Control Room Head

Economic decision

Home/Health Secretary; DGP; NHM Mission Director

Technical influence

Police Telecom; CAD/Contact Centre Head; GIS/IT Head; SI

Why action becomes urgent

ERSS/108 renewal, NextGen contact centre, response-time audit, fleet replacement, NG112/AML/location integration.

02 · Before and after

Change the operating model, not only the interface

Before Mappls

Fragmented context and delayed action

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

  • Location, operational and enterprise data remain separated
  • Stakeholders make inconsistent decisions from partial context
  • Exceptions are found late and evidence is difficult to reconstruct
With Mappls

A governed location-aware decision loop

Map engine, caller/device location, geocoding, jurisdiction, nearest-resource routing, ambulance/patrol tracking, dispatch APIs and SLA analytics.

  • One role-aware workspace in Mappls Public Safety Command
  • Live context moves directly into the responsible workflow
  • Every decision, scenario and outcome can be measured and audited

03 · Stakeholder experience

One shared system, different role moments

Own and govern

DGP/ADG ERSS

Own and govern

Mission Director 108

Decide and coordinate

State Health Society CEO

Decide and coordinate

Control Room Head

Decide and coordinate

Home/Health Secretary

Execute and verify

DGP

Execute and verify

NHM Mission Director

Execute and verify

Police Telecom

Inside Mappls Pro, the same user can hold this role here and a different role in another application. Membership, saved runs and administration remain app-specific.

04 · Day-in-the-life journey

How the solution turns information into an operational result

01

Frame the operating decision

Baseline at each response stage? Location source and accuracy? Jurisdiction exceptions? Fleet availability? Offline/low-network needs? SLA reporting?

02

Connect the location foundation

Bring the required map, address, road, place, imagery, asset, customer and operational data into a governed Public Safety workspace.

03

Act through role workflows

Incident board, Dispatch, Live units, Response map, After action give each stakeholder the information, decision and action appropriate to their role.

04

Prove the intervention

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

05

Scale and continuously improve

Operationalise the model through State/site licence + API/transaction or fleet subscription + integration + 24x7 support/AMC., adoption governance, service measurement and a managed improvement backlog.

05 · Solution and data architecture

The Mappls capabilities behind the experience

Location foundation

Map, address, place, route, imagery, boundary and context layers

Operational context

Customer, asset, order, sensor, incident, task or transaction records

Application workflow

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

Outcome loop

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

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

06 · Outcome and evidence

Make the value claim measurable before scaling

Value hypothesisBusiness case: minutes saved in locate/dispatch/arrival, higher fleet utilisation, fewer misroutes and auditable response compliance.
Success criteriaLocation accuracy, dispatch recommendation quality, route ETA accuracy, system uptime and agreed response-time delta.

Bounded proof

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

  • Confirm the baseline and decision scope: Baseline at each response stage? Location source and accuracy? Jurisdiction exceptions? Fleet availability? Offline/low-network needs? SLA reporting?
  • Use representative and, where approved, customer data in the configured workspace
  • Review measurable success with the operating and economic owners: Location accuracy, dispatch recommendation quality, route ETA accuracy, system uptime and agreed response-time delta.
  • Document data quality, adoption, security, service and scale findings
  • Convert evidence into a phased production scope and accountable value plan

07 · Governance and scale

Operate the solution safely and sustainably

Identity and access

Server-enforced identity, least-privilege app membership, role-specific actions and auditable administration.

Data governance

Source lineage, quality thresholds, update cadence, retention, consent and controlled data sharing.

Operating governance

Named process owners, exception SLAs, escalation, change control and adoption measurement.

Value governance

Baseline, intervention and outcome metrics reviewed on an agreed cadence with accountable owners.

Your outcome, powered by Mappls

Put 112/108 Emergency Response, Dispatch & Location into your operating context

Bring the baseline, workflow, users, data and success criteria. Mappls will shape a bounded proof and production path.

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