Integrations
Kadryn connects provider usage, engineering metadata, team workflows and governance signals into one AI FinOps control layer.
Integration layers
Kadryn does not try to become another provider console. It connects the systems that already produce cost, risk and ownership signals.
AI usage
Bring AI usage into Kadryn through supported providers, direct events, gateway routing or your own usage pipeline.
Track production usage, model spend and metadata.
Connect usage signals from Google AI workloads.
Observe fast inference workloads and cost signals.
Ingest normalized events from your own provider or internal AI layer.
Team workflows
Send the right signal to the right place, with enough context to act instead of creating more noise.
Route alerts, executive digests and activation workflows.
Deliver verification, billing, support and operational messages.
Trigger external workflows from incidents, alerts and lifecycle events.
Export reports, traces and evidence for operational reviews.
Identity
Keep AI cost visibility tied to the people, teams and permissions that actually own decisions.
Sign in with supported OAuth providers.
Connect organization identity for eligible plans and workflows.
Support enterprise authentication requirements.
Automate provisioning and deprovisioning for enterprise teams.
Operations
Kadryn connects to the operational services needed to run a reliable SaaS control plane.
Subscriptions, invoices and billing lifecycle.
Error monitoring and production diagnostics.
Retries, scheduled jobs and durable workflows.
Exports, files and controlled object storage.
Data flow
Every integration should make decisions clearer, not just add another data source.
01
Usage arrives from providers, gateway traffic, direct events or webhooks.
02
Kadryn converts raw events into a consistent AI cost and metadata model.
03
Spend is connected to projects, features, teams, customers and owners.
04
Alerts, reports, guardrails and recommendations turn signals into decisions.
Governance
Integrations are treated as sensitive operational surfaces. Kadryn separates visibility, secrets, permissions and delivery workflows.
You can begin with provider usage or direct ingestion, then add Slack, SSO, webhooks, exports and governance workflows when your AI usage moves into production.
