field work • poor connectivity • reliable delivery

Offline-first mobile apps with AI for operations.

Q: What does offline-first mean?

The workflow works without a connection: local persistence, queued writes, sync strategy, and clear status so operators know what’s done.

Q: How do you handle sync conflicts?

We define the conflict strategy up front (merge rules, last-write, server authority, or human review) and instrument it during pilot.

Q: Does AI work offline?

When required, yes — via on-device inference. Otherwise we use a hybrid approach with fallbacks under poor connectivity.

If the workflow happens in warehouses, basements, or remote sites, the app must keep moving. We ship offline queues, sync strategy, and AI touchpoints with predictable behavior.

ReliabilityQueues, retries, and “done” status you can trust

ClarityOperators see what synced, what failed, what’s pending

GovernanceExplicit boundaries: what leaves device / tenant

Request a scope checklist Email dp@sternika.com

Typical use cases

Incident capture → triage → resolution with photos and notes
Inspections and checklists with evidence and approvals
Inventory updates with intermittent connectivity
Field reports where AI assists extraction and summarization

How we de-risk

Week 1: workflow map + network assumptions + prototype
Weeks 2–4: build + pilot readiness + instrumentation
Evaluation: fallbacks when AI is unavailable
Governance: data boundaries + audit-friendly logging hooks

FAQ

Short answers — no slide-ware.

What does offline-first mean?

Local persistence, queued writes, sync strategy, and clear status.

How do you handle sync conflicts?

We define conflict strategy up front and instrument it during pilot.

Does AI work offline?

When required, yes via on-device inference; otherwise hybrid with fallbacks.

How do we start?

Send the workflow + constraints. We reply with scope and schedule.