Orlo works with design partners who bring expert judgment and real high-stakes workflows, and technical partners who help organizations deploy, integrate, and operate AI control planes for sensitive production use.
Partner Paths
The best partners bring workflow depth: domain data, expert judgment, operating constraints, implementation experience, or trusted relationships with organizations adopting AI responsibly.
For organizations with high-stakes workflows that need AI evaluation, runtime controls, and decision evidence before broader rollout.
For IT services firms, AI consultancies, systems integrators, and sovereign AI implementers helping clients deploy responsible AI systems.
Partner Motions
Identify where AI can help and where controls, review, and evidence are required before production use is acceptable.
Turn domain examples, edge cases, and quality expectations into datasets and rubrics that can support model selection.
Map policy expectations into validation, abstention, escalation, approval, attribution, and feedback controls.
Connect Orlo to applications, retrieval sources, model providers, gateways, identity systems, and internal review processes.
Help clients define what proof they need for risk, compliance, legal, security, and audit stakeholders.
Support hosted, private, or sovereign deployments where data residency and infrastructure control shape adoption.
What Orlo Provides
Orlo gives partners the primitives and product surfaces needed to operationalize responsible AI: dashboard workflows, APIs, SDK components, task definitions, datasets, evaluations, deployments, validation, retrieval attribution, approvals, feedback, monitoring, agent governance, and decision artifacts.
A shared control plane for platform, domain, risk, compliance, and audit teams, plus SDK surfaces that let partners embed Orlo controls into client workflows.
Reusable web components and agent SDK primitives for evaluations, feedback review, inference traces, policy editing, approvals, and agent session views.
Reusable ways to show what was evaluated, what was deployed, what controls ran, what sources were used, and what reviewers saw.
Good Fits
Orlo is strongest when there is a real workflow, real operational data, and real accountability for what the AI system does.
Organizations moving from experimentation to repeatable controls for AI used by employees and operational teams.
Teams that need controlled AI workflows for casework, services, document review, or public operations.
Healthcare, insurance, financial services, legal, compliance, and other domains where reviewability matters.
Bring a high-stakes AI workflow, implementation motion, or client need. Orlo provides the control plane around it.