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AI Dispatcher by FieldCamp — AI Field Service Scheduling, Dispatch & Route Optimization

FieldCamp · Operations & Productivity

SaaSNo attestation published

Certification per Microsoft Marketplace.

AI dispatchingfield service schedulingroute optimization
Provenance reach3 of 12 layers traced

Evidence tier Source Confirmed · 8 captures on record

User ratingNot rated0 reviews on the listing
Runs onSaaSSaaS
ProvenanceUnknown33% of the provenance layers this product can disclose
Evidence riskHighSign in to see the basis for this band.

What the publisher says

As described on Microsoft Marketplace.

AI Dispatcher by FieldCamp is an AI scheduling and dispatch layer for Microsoft Dynamics 365 Field Service. It works with your existing work orders, requirements, bookable resources, and bookings — Dynamics 365 stays your system of record — and takes over the deciding: which technician, which order, which route. Every assignment is returned as a confidence-scored recommendation with the reasoning shown per booking.

What it does

Show the rest of the publisher’s description (22 more lines)
  • AI work order-to-technician matching — every work order scored against skills, location, availability, equipment, and schedule constraints
  • Auto and Assist modes — the AI books assignments itself, or proposes them for dispatcher approval, with per-job reasoning either way
  • Real-time route optimization — technician routes re-sequenced to cut drive time; changes are applied only after Apply/Discard review, and re-optimization only reorders existing bookings
  • Dynamic rescheduling — emergency work orders, cancellations, and overruns trigger a re-plan the moment they happen
  • Crew and multi-day project dispatching — multi-technician crews, shared equipment, and phased multi-day schedules planned natively
  • Capacity- and equipment-aware dispatching — workload limits and equipment requirements respected on every booking
  • Live dispatch map and timeline — every technician and job block across the day, with live GPS tracking
  • Operational agents — end-of-day reconciliation and next-day capacity forecasts
  • Dispatch analytics — acceptance rates, technician utilization, schedule performance

How it's different from Resource Scheduling Optimization (RSO)

  • Event-triggered, not batch timers. RSO optimizes when a published optimization schedule fires; AI Dispatcher reacts to the event itself.
  • Crews included. RSO doesn't consider Pool or Crew resource types; AI Dispatcher treats multi-technician and multi-day work as first-class.
  • Weighted objectives, not a ranked list. Travel time, promised windows, overtime risk, and priority are weighed together per job.
  • Transparent and reviewable. Every recommendation carries its reasoning; nothing moves without Apply.

It doesn't replace the schedule board — it's the decision layer that fills it. RSO can stay for an overnight lane or be scoped down gradually; there is no migration and no cutover. Relative to the Scheduling Operations Agent, it covers a wider perimeter: assignment, routing, crews, and emergencies in one layer.

Use cases

  • Same-day dispatch operations where the schedule changes after the morning run
  • Emergency and priority work order response
  • Crew-based and multi-day project scheduling
  • Route-dense operations where drive time is the margin
  • Capacity planning across territories and technicians
  • Field service teams in HVAC, plumbing, electrical, utilities, equipment maintenance, landscaping, cleaning, pest control, and any multi-technician operation on Dynamics 365 Field Service

Preview

5 images
AI Dispatcher by FieldCamp — AI Field Service Scheduling, Dispatch & Route Optimization preview 1AI Dispatcher by FieldCamp — AI Field Service Scheduling, Dispatch & Route Optimization preview 2AI Dispatcher by FieldCamp — AI Field Service Scheduling, Dispatch & Route Optimization preview 3AI Dispatcher by FieldCamp — AI Field Service Scheduling, Dispatch & Route Optimization preview 4AI Dispatcher by FieldCamp — AI Field Service Scheduling, Dispatch & Route Optimization preview 5

Agent build and provenance

See the full provenance

The layer-by-layer build, the evidence behind each claim, the risk basis and the cross-marketplace links are open to any account. Some rows are disclosed, some the source leaves Unknown; a free account shows you which.

Compliance

Government
  • FedRAMPConfirmedNot listed90%, registry-checkedNo FedRAMP Marketplace entry matched this vendor's domain, checked 2026-08-27registry recordas observed 2026-08-27

Confirmed means matched to a public authoritative registry. Claimed means the vendor or its listing states it, not yet cross-checked. A framework not shown was not found in any source we hold, which is not evidence against it. Not listed means a scoped registry check found no match for this vendor's domain: a No is a scoped registry check, not a compliance judgment. Confidence bands: 95% domain-verified, 90% registry-checked, 80% self-attested, 70% weak signal. Self-attested items marked “vendor's site” are gathered from the vendor's own website and are not verified by us.

Vendor

External enrichment

CompanyFieldCampAutomated

Sources

Marketplace listingmarketplace.microsoft.comSource
Privacy PolicyPrivacy PolicySource

Publisher resources

9 links
Pricingfieldcamp.aiSource
Product pagefieldcamp.aiSource
Book a Democalendly.comSource
I Automated an Entire HVAC Company's Dispatching in Under 1 Hour (AI Dispatcher Walkthrough)www.youtube.comSource
I Gave an AI Agent Access to My Dispatch Board. It Plans My Week Before I Wake Up.www.youtube.comSource
What Is an AI Dispatcher? (Plain-English Guide for 2026)www.youtube.comSource
How to automate spring maintenance dispatch for an HVAC companywww.youtube.comSource

Linked repositories

RepositoriesUnknownUnknown

Unknown means this listing does not publish a repository. It is not a statement that the code is closed, and a linked repository is not a claim that the publisher wrote it: the registry computes that relationship privately and does not publish it.

Pricing
Unknown
Not stated
Delivery
SaaS
https://docs.fieldcamp.ai/ai-dispatcher
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