Welcome
What Harness Systems documents cover and how to use them.
Docs
Harness Systems docs
Guides for teams turning AI prototypes into evaluated, observable, and owned production systems.
Quickstart
How to prepare for a first conversation and move from idea to scoped build.
Engagement model
How Harness Systems scopes, builds, validates, and hands over production AI work.
Evaluation pipelines
How we make model and workflow quality measurable before release.
Workflow automation
How we design human-in-the-loop AI workflows for real operations.
AI infrastructure
The queues, retrieval, routing, observability, and fallback paths behind production AI.
System integrations
How AI systems connect to the tools, data stores, and products your team already runs.
Delivery process
The path from diagnosis to design, build, verification, and rollout.
Handoff and ownership
How we transfer code, runbooks, context, and operating responsibility.
Security and data handling
How production data paths, access, review, and provider boundaries are handled.
Architecture patterns
Common patterns for resilient AI systems that can change without collapsing.
Production readiness checklist
A practical checklist for deciding whether an AI workflow is ready to operate.