Engineering Leadership
Secure AI for every team, visibility and control for you
Track spend by project, team, and model in one view, and map AI cost to your goals and OKRs.
AI requests flow through one managed gateway before reaching models and providers.
Teams
Mapped
Keys
Scoped
Review
Audit log
AI app
Support
Owner, key, model route, and spend in one view.
Provider
Anthropic + Azure
Primary path and fallback path are visible.
Control
Spend limit
Limit is attached to the owning key.
New capabilities
What your team gains with Concentrate
Reduce vendor sprawl
One API path lowers the number of provider accounts and dashboards your teams juggle.
Keep teams moving
Engineers can test models without waiting on repeated provider setup.
Review what changed
Use logs and audit trails to see traffic, settings, and owners.
Where it fits
For leaders moving from experiments to org-wide AI usage
Engineering leaders need a short path from prototype to managed usage without asking every team to own provider accounts and dashboards.
Simpler architecture
Swap backend models through configuration and request routing instead of pushing app changes for every provider decision.
Team boundaries
Create teams, projects, and keys so one group cannot silently spend another group's budget.
Shared logs
Standardize request logs across apps so on-call engineers and leaders can see the same traffic.
Security review
Give security teams SSO, RBAC, redaction, ZDR options, and audit logs without a custom internal gateway project.
Engineering Leadership basics