P17 · Implementation blueprint · Mappls Enterprise GIS

Defence & Strategic Geospatial Intelligence

Mission data, terrain, imagery, sensors and operational workflows need secure, sovereign, offline-capable geospatial integration.

01 · Target operating outcome

Define the change before choosing the technology

Which mission decision is slowed by fragmented terrain, imagery, sensor and unit-location data?

Mission value: faster planning/decision cycles, reduced manual correlation, improved situational awareness and sovereign technology control.

Baseline

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

Target

Security/architecture compliance; performance; offline usability; integration feasibility; programme sponsor and procurement path.

02 · Solution architecture

One connected flow from source data to operational action

Secure map engine, 2D/3D/terrain, imagery analytics, offline/edge deployment, mission layers, tracking, APIs and integration with command systems. We provide the sovereign spatial foundation and mission-specific integration needed to turn multiple feeds into an operational picture.

Data foundation

Map, customer, asset, sensor and enterprise data

Intelligence services

Search, routing, GeoAI, rules and spatial models

Role workflows

Map workspace · Layer admin · Spatial analysis · Field sync · Governance

Decision and outcome

Mission value: faster planning/decision cycles, reduced manual correlation, improved situational awareness and sovereign technology control.

03 · Users and RBAC

Give every stakeholder the view and actions they actually need

Sponsor / owner

Programme Director

Sponsor / owner

DG/ADG Operations

Manager / analyst

Director ISR/C4I

Manager / analyst

Lab Director

Manager / analyst

Service HQ/Ministry Programme Authority

Operator / specialist

System Architect

Operator / specialist

Geospatial/Imagery Cell

Operator / specialist

Security/Accreditation

Operator / specialist

Prime SI

Operator / specialist

GIS administrator

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

Private/On-prem/Offline Map Platform

Secure map engine, APIs and GIS for private or air-gapped deployment

Product details

ClarityX Location Analytics

Market, territory, network and spatial decision analytics

Product details

GeoAI & Spatial Decision Models

ML/AI, risk, demand, accessibility, image and anomaly models

Product details

RealView 360 & Ground Imagery

Geotagged 360 imagery, photos and videos

Product details

05 · Proof of value

Use a bounded implementation to answer the scale decision

Scoped lab demonstrator using synthetic/declassified data, offline map/terrain and selected interfaces.

  • Confirm data, geography, users and workflow: Mission use case? Classification? Offline/edge needs? Standards? Latency? Accuracy? Platform constraints? Accreditation path?
  • Configure Mappls Enterprise GIS for the selected role set
  • Run baseline and intervention scenarios with real stakeholder reviews
  • Evaluate agreed criteria: Security/architecture compliance; performance; offline usability; integration feasibility; programme sponsor and procurement path.
  • Package production scope and commercial model: Enterprise/on-prem licence + data geography + NRE/integration + support/updates; typically prime-SI/consortium led.

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