What is Forest Admin?
Forest Admin has rebranded to Forest, repositioning from a general internal-tools and admin-panel builder into operational infrastructure for regulated companies. Its documentation describes Forest as the place where regulated companies run operations end-to-end across internal teams, AI agents, suppliers and partners, for workflows such as KYC and KYB reviews, AML alerts and dispute handling. The product can be deployed inside the customer's own infrastructure: Forest hosts the UI, while you run the agent in your own infrastructure so your data never leaves your network.
Forest connects directly to your databases and APIs, with automatic schema introspection across Postgres, MongoDB, BigQuery, Snowflake, and REST or GraphQL APIs. On top of that it provides case inboxes, multi-step workflows with approvals and human-in-the-loop gates, and a record-level audit log on every action. Forest's MCP server exposes data, schemas, actions and workflows to AI agents under the same audit model. Agent SDKs are documented for Node.js and Ruby, and the docs cover Cloud, Self-Hosted and On-Premise architectures.
Pricing has a free Sandbox tier for up to 2 users and 2 datasources. Paid plans start at $499 per month (Starter, with 7 users included) and $2,199 per month (Professional, with 25 users included), and Enterprise starts from $5,999 per month.
Key capabilities
- Free Sandbox Evaluate on real data with up to 2 users, 2 datasources and 5 MCP connectors, self-hosted.
- Case workflows KYC onboarding, KYB, transaction monitoring and dispute handling on top of your existing providers.
- Governance Permissions, RBAC and an audit trail shared by people and AI agents.
- Starter plan Advanced RBAC, SSO and 2FA with a standard support SLA.
- Enterprise options White-label, SCIM and IP whitelist.
Where Forest Admin fits
- Fintech back-office operations
- KYC and KYB case handling
- Transaction monitoring and dispute handling
- Audit trail and permissions for staff and AI agents
- MCP access to workflows for AI agents
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