Build the whole journey—not just the first call.
Lifecycle blueprints for durable Mappls integrations: explicit states, commands, events, invariants, data ownership, retries, recovery, observability, source evidence, and runnable applications.
Choose the durable thing you operate
Each blueprint names one consistency boundary and follows it from creation through recovery or retirement.
Field-service task lifecycle
Create, assign, accept, travel, prove, approve, and close a field job without losing actor, retry, or evidence history.
Connected fleet trip
Provision an observable trip, follow live vehicle state, explain exceptions, close deliberately, and retain a replayable operational record.
Fleet geofence exception
Create a governed zone, evaluate vehicle activity, suppress noise, raise an actionable case, and retire the rule safely.
Coordinated incident response
Resolve an incident location, select a capable available responder, route and observe the unit, adapt to hazards, establish arrival, resolve with evidence, and review every decision.
Recoverable navigation session
Move from route intent through preview, guidance, reroute, arrival, and cleanup while surviving process, sensor, and network interruption.
Governed spatial analysis
Ingest versioned data, validate and publish it, execute reproducible analysis, review lineage, and share a governed decision layer.
Durable multi-stop itinerary
Discover provider-backed places, preserve their Mappls Pins in a versioned itinerary, preview the exact ordered route, invalidate stale plans on edits, and retain visit or skip progress through completion.
Consented address verification
Normalize a declared service address, capture purpose-bound device evidence, apply an explainable versioned policy, require human review where evidence is weak, and retire precise data without erasing accountability.
Governed spatial agent run
Turn a natural-language spatial objective into an inspectable plan, obtain an exact least-privilege approval, execute allow-listed Mappls tools, and cite provider evidence without exposing credentials to the model.
Offline automotive release
Manufacture, activate, install, operate, update, recover, and retire a navigation runtime and map-data release as one compatible system.
Application-owned widget selection
Launch a Mappls widget, recover through a useful fallback, validate a narrow candidate, commit it deliberately, invalidate stale selection, and submit one durable business record.
iOS direction planning and navigation handoff
Own route intent and revisions in the host app, present MapplsDirectionUI for editing and calculation, validate the selected route callback, and hand off to navigation without confusing a UI request with a started or completed trip.
iOS geofence draft and publication boundary
Present the Mappls geofence editor, normalize circle or polygon output into a versioned application draft, validate geometry and policy, and stop at a review-ready artifact until a separately documented provider publication contract is selected.
iOS feedback report and review
Open one feedback UI generation, normalize a bounded report candidate, commit an application submission, reconcile provider acknowledgement separately, review evidence, and close only with an attributable resolution.
Consent-bound location capture evidence
Initialize and configure an entitled Location Capture SDK, acquire a bounded single or subscribed fix, preserve accuracy and timing as evidence, review weak results, and stop every native resource deterministically.
Governed place contribution and publication
Embed the credential-free Add a Place surface, record what the user reports, reconcile independently, and call a place published only when durable provider-backed evidence exists.
Entitled RealView remote inspection
Qualify paid RealView entitlement, open one browser-visible-token viewer attempt, handle the documented no-imagery signal safely, and turn human observations into a reviewed business record without inventing panorama metadata.
Governed SkyDNN inference review
Lock an entitled model to an immutable asset identity, call the documented synchronous prediction boundary, validate geometry and confidence, require independent review, and redact derived detections on schedule.