Primary operating owner
DGP/ADG ERSS; Mission Director 108; State Health Society CEO; Control Room Head
P06 · Representative solution case · Government / Emergency / Health
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
Caller location uncertainty, suboptimal dispatch and weak fleet visibility increase response time and make SLA control difficult.
DGP/ADG ERSS; Mission Director 108; State Health Society CEO; Control Room Head
Home/Health Secretary; DGP; NHM Mission Director
Police Telecom; CAD/Contact Centre Head; GIS/IT Head; SI
ERSS/108 renewal, NextGen contact centre, response-time audit, fleet replacement, NG112/AML/location integration.
02 · Before and after
Caller location uncertainty, suboptimal dispatch and weak fleet visibility increase response time and make SLA control difficult.
Map engine, caller/device location, geocoding, jurisdiction, nearest-resource routing, ambulance/patrol tracking, dispatch APIs and SLA analytics.
03 · Stakeholder experience
DGP/ADG ERSS
Mission Director 108
State Health Society CEO
Control Room Head
Home/Health Secretary
DGP
NHM Mission Director
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
Baseline at each response stage? Location source and accuracy? Jurisdiction exceptions? Fleet availability? Offline/low-network needs? SLA reporting?
Bring the required map, address, road, place, imagery, asset, customer and operational data into a governed Public Safety workspace.
Incident board, Dispatch, Live units, Response map, After action give each stakeholder the information, decision and action appropriate to their role.
4–8 week control-room pilot with incident replay/live shadow mode and a limited fleet.
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
Map, address, place, route, imagery, boundary and context layers
Customer, asset, order, sensor, incident, task or transaction records
Incident board · Dispatch · Live units · Response map · After action
Location accuracy, dispatch recommendation quality, route ETA accuracy, system uptime and agreed response-time delta.
Market, territory, network and spatial decision analytics
Product detailsAddress-to-coordinate and coordinate-to-address
Product detailsCar, truck, two-wheeler, pedestrian and multimodal routes
Product detailsLive location, trips, geofences, events and playback
Product details06 · Outcome and evidence
4–8 week control-room pilot with incident replay/live shadow mode and a limited fleet.
07 · Governance and scale
Server-enforced identity, least-privilege app membership, role-specific actions and auditable administration.
Source lineage, quality thresholds, update cadence, retention, consent and controlled data sharing.
Named process owners, exception SLAs, escalation, change control and adoption measurement.
Baseline, intervention and outcome metrics reviewed on an agreed cadence with accountable owners.
Your outcome, powered by Mappls
Bring the baseline, workflow, users, data and success criteria. Mappls will shape a bounded proof and production path.