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Adapt Existing 4-7 Agent AI Platform for Field Service

  • Posted:
  • Proposals: 25
  • Remote
  • #4489047
  • Expired
Peter F.Hussein A.Melvin N.Iyanu O.Sahil K. + 20 others have already sent a proposal.
  • 4

Description

Experience Level: Expert
NextLevel Operations Group is looking for a developer who has already built and deployed a working 4-7 agent multi-agent AI system for field service businesses — plumbing, HVAC, roofing, or restoration​. Must be a live production system, not a demo or prototype​.

Platform must handle: smart dispatching with live traffic routing, photo and video diagnosis of problems, inventory checking across trucks to eliminate comebacks, agents that reason and collaborate together, client communication automation, job logging, invoicing, and payments​.

Requirements — non-negotiable:
Full IP ownership transfer​. I own all code forever​.
Deployed to my cloud only​.
Full source code to my private GitHub​.
Multi-tenant white label for unlimited clients with separate branding and data​.
Handles 100 active clients from day one, scalable to 500+​.
Documented uptime from existing deployment​.
Basic guardrails​.
Simple admin dashboard in plain English​.
Reply must include:
Live demo link or GitHub proof of existing platform
Industries already deployed
Uptime record
Fixed price quote broken into 4 milestones
No existing platform to show = do not apply​. Fixed price only​. I will not disclose a budget​.

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Clarification Board Ask a Question

  • Naresh S.

    Hi James,

    Can you share which cloud environment you require for deployment (e.g., Amazon Web Services, Google Cloud Platform, or Microsoft Azure) and whether there are any specific compliance or data residency requirements we need to meet from day one?
    Thanks
    Naresh

  • App Mechanic

    1 Which cloud environment and infrastructure stack should the deployment align with?
    2 Do you require LLM-based agents with external APIs or fully self-hosted models?

  • Asad C.

    - What is the current workflow from lead intake to job completion in your target businesses (plumbing/HVAC/etc.), and where exactly do you see the biggest operational delays or inefficiencies today?

    - What level of autonomy do you expect from the AI system when making decisions like dispatching technicians, prioritizing emergencies, or recommending inventory usage?

    - How should multi-tenant white-labeling behave in your business model, do clients get fully isolated environments with custom branding, or shared infrastructure with configurable branding layers?