Otto HR for Enterprise
Structure and controlfor the whole organisation.
Larger organisations need more than features. They need to know who can do what, what changed, and where the data sits. Otto HR is built on role-based access, audit logs, and row-level security, with an MCP interface for the AI agents you run yourself.
5×
Faster HR operations at scale
80%
Less manual admin
RLS
Postgres row-level security
Why enterprise
Built to be accountable.
01
Role-based access
Access follows role: people see and change only what their role allows, across HR and the employee portal.
02
Audit logs throughout
Changes across the platform are recorded, so reviews rely on records rather than recollection.
03
Tenant isolation by design
Multi-tenancy is enforced with Postgres row-level security, so company data is separated at the database layer, not just in application code.
What's inside
Control, from the database up.
Security
Control at the database layer
Postgres row-level security scopes every table to the company. Role-based access governs what users do above it.
Audit
A record of every change
Audit logs capture actions across the platform, from balance adjustments to AI tool calls.
Compliance
Built for Turkish operations
KVKK-compliant hiring flows with the Aydınlatma Metni and explicit consent, plus a full Turkish UI alongside English for mixed workforces.
Agents
MCP for enterprise AI
Your internal agents connect over MCP and work with Otto data safely: quota-metered, role-checked, and audit-logged.
Enterprise questions
Yes. The platform is built on role-based access, audit logs, and row-level security multi-tenancy, the structure larger organisations rely on.
Plans are published on the pricing page, and larger organisations are quoted directly. A working evaluation runs on your own data before any commitment.
Hiring flows for Turkey include the candidate Aydınlatma Metni and explicit consent, alongside an equal-opportunity notice. The UI is available in Turkish and English.
Yes. The MCP interface exposes HR tools to your own agents, with role-based access, quotas, and audit logs on every call.
Get started
Structure first,then scale.
Create your workspace and put role-based access, audit logs, and governed AI to work on your own data.