Forest Admin

Forest Admin

Artificial Intelligence / Machine Learning, FinTech / InsurTech, Software

Paris

Presentation

Forest Admin is the ops orchestration layer for regulated finance.

We help fintechs, banks, and payment institutions orchestrate complex compliance and business operations, coordinating humans, AI agents, and third-party systems with full governance. KYC reviews, AML investigations, fraud case management, dispute workflows: all running in one auditable, permission-controlled environment.

Our platform runs in the customer's own infrastructure (data sovereignty by design), is natively MCP-compatible (both client and server), and ships with pre-built workflow templates for the use cases regulated finance actually needs.

Customers like Qonto (3,000 operators), Swan, and Spendesk rely on Forest to eliminate context-switching, automate compliance workflows, and govern AI agents operating inside regulated processes.

Founded in 2017. Cash flow positive. 500+ customers across Europe and Americas.

What they are looking for

We're a small team working on a technically complex problem in a regulation-heavy market. The people who thrive here are builders who don't need hand-holding, think in first principles, and care about output quality.

We're AI-first in practice: engineers use Claude Code, teams run on Dust, and we expect everyone to leverage these tools to work at a higher level. We move fast but don't cut corners on compliance, data integrity, or customer trust.

If you're drawn to the intersection of fintech, AI agent governance, and developer infrastructure, this is the place.

Good to know

A few things that predict success here:

  • You've worked in or around regulated industries (fintech, banking, payments, crypto), or you're genuinely curious about how they work.

  • You default to AI tools to get things done faster, not as a novelty.

  • You're comfortable in a lean environment where "figure it out" is part of the job.

  • You care about technical depth in what you build, how you sell, or how you understand customers.

Fully remote. Quarterly team sprints in Paris and bi-annual team-building events. All employees have upside tied to ARR targets (we share the number openly).

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