Solutions
Built for teams that can't run ungoverned agents.
QuadRails works with any agent framework and any cloud. These are the teams we most often build it with.
{
"agent_id": "claims.assistant",
"owner_team": "claims-platform",
"version": "2.3.1",
"risk_tier": "high",
"allowed_tools": [
"get_claim", "get_policy",
"draft_letter"
],
"approvals": { "send_letter": "human" },
"budget": { "daily_usd": 40 },
"policy_revision": "baseline-v7",
"workload_identity": "spiffe://claims/assistant"
}Regulated industries
Healthcare, financial services, public sector
Guardrail profiles mapped to risk tiers and regulatory requirements, with a full audit trail for every agent decision. Sensitive data is masked at the output rail and access is checked at the retrieval rail.
- PII and PHI masking on every response
- Document-level access for retrieval
- Human approval for high-impact actions
- Decision receipts for auditors
Platform teams
Central AI and platform engineering
One policy engine for every team's agents. Teams write their own guardrails; meta-governance keeps them above the enterprise baseline. Onboard once and every agent inherits the rails.
- Shared guardrail services on your platform
- Policy as code in your CI/CD
- Budgets by team, app and agent
- Works across Azure, AWS and Google Cloud
Microsoft Copilot agents
Copilot Studio, GitHub Copilot, Azure AI Foundry
Quadrant has built 30+ AI solutions on Microsoft platforms, including Copilot agents for incident response, release management, security and onboarding. QuadRails adds an inventory, owners, scoped access and audit to every one.
- Agent inventory with named owners
- Least-privilege connectors and actions
- Oversharing checks before rollout
- Usage and value measured from day one
AI operations
SRE and production support
Guardrails are only as good as the team that runs them. Quadrant operates QuadRails 24/7 alongside your agents, with runbooks per application, scheduled re-validation and incident response.
- 24/7 follow-the-sun coverage
- Drift alerts routed to on-call
- Scheduled re-validation of guardrails
- Off switch with a defined fallback
Start with one application.
A discovery workshop picks one AI application, maps its guardrail gaps and leaves you with a blueprint.