Running Arc53 as a service, AI Infrastructure

Arc53 Agency Implementation, Building Client-Owned AI Systems

Learn how to architect and deliver production-grade GenAI, RAG, and computer vision solutions on client infrastructure using Arc53's DocsGPT platform and consulting services. This course teaches agencies how to position AI ownership, manage custom LLM pipelines, handle knowledge transfer, and build recurring revenue through infrastructure-based AI deployments that clients control long-term.

Open the decision record for Arc53

What does running Arc53 for clients commit you to?

Published figures for this service. Blank fields are not published.

Monthly tool cost
Not published (Arc53 uses enterprise pricing; contact vendor for costs)
Time to first value
Not published (setup complexity is high; time-to-value is weeks)
Payback
Not modeled (requires client pricing, labor, usage, overhead, and volume data)
Guided implementation
8 hours

Is Arc53 worth running as a client service?

Arc53 enables custom, secure AI solutions for enterprise clients needing data sovereignty. The high setup effort and need for AI expertise limit applicability to agencies with strong technical teams and clients willing to invest in custom development.

An agency-fit judgement for reselling this service. It is separate from the tool description on the decision record.

Before you start

What has to be in place before the first client engagement.

Tools and subscriptions

  • DocsGPT for RAG and agent building
  • GitHub for code collaboration
  • Client cloud/on-prem infrastructure access

People and inputs

  • In-house AI/ML engineering team for custom solution development
  • Client domain expertise for data preparation and workflow design
  • Project management for client onboarding and knowledge transfer

Included with the course

7 working documents for delivering this service.

  • AI System Scoping Worksheet for Client Intakeworksheet
  • DocsGPT Deployment Checklist for Self-Hosted RAGchecklist
  • Data Privacy and Infrastructure Assessment Templatetemplate
  • Custom LLM Pipeline Architecture SOPsop
  • Knowledge Transfer and Handoff Documentation Guideguide
  • Computer Vision and OCR Use Case Qualification Matrixworksheet
  • MLOps Monitoring and Model Governance Playbookguide

Listed by name. These documents are not yet published as individual downloads.