Financial services
Live agentic systems operating inside a financial services institution, under per-organization isolation and operator review.
The platform
The system your agents run on.
Felesh is a managed cloud where human operators and AI agents work as peers on one cognitive substrate — capturing work, deciding what to do, and acting, with a receipt behind every step. Felesh CRM is the first product built on it.
01
Pillar 1
Control and isolation
- Each organization runs in its own isolated environment — separate identities, separate data stores, and separate secrets. No organization ever sees another's data, by design.
- Your data stays within your isolated environment, and your records are never used to train outside models. Model access runs under the same controls as everything else.
- You hold the autonomy dial. Every agent starts in suggest-mode and earns more autonomy only as you grant it.
- Data-residency options for organizations that need their data to stay in a defined region.
02
Pillar 2
Adaptability
- The platform is shaped to your domain, not the other way around. It is already live in financial services and government services.
- Agents work on your records and your process, in your domain's exact terms, rather than a generic template you bend to fit.
- The Builder turns how your operation actually works into a running agentic system, designed through conversation rather than configuration.
- Today: you design through conversation and Felesh deploys the result. A fully self-serve Builder is imminent, but not yet live.
03
Pillar 3
Production-grade by default
- Data is replicated and recovery is automatic. The platform stays available without constant operator intervention.
- Every change is auditable and reversible. Nothing happens that you cannot trace or undo.
- Blueprints are versioned with an immutable history. You always know exactly what is running and why.
- Full operational visibility. We run our own operation on the same foundation we provide to you.
Every action follows the same five steps.
- 1
Detect
A signal arrives — an inbound lead, a message, a change in a record — and the platform registers it the moment it happens.
- 2
Plan
The system decides what should happen next. Deciding is kept strictly separate from acting, so the reasoning is settled before anything moves.
- 3
Act
The agent carries out the work — drafting, updating, following through — at exactly the autonomy level you set for that task.
- 4
Verify
Before anything takes effect, the result is checked against what was asked. It routes for human review whenever the autonomy dial requires it.
- 5
Report
Every step leaves a receipt: the reasoning, the action, the source, and the time. You can always see exactly why the system took a specific action.
In production
Running in regulated operations.
Government services
Deployed in a government services setting where rigorous data handling and traceability are mandatory.
Built to be embedded.
Felesh is a multi-tenant managed cloud. Partners can run many organizations on one platform, embed it inside their own product, and apply their own branding. Systems integrators and vertical specialists build on the same isolation and receipts their customers rely on.
Go deeper.
Have an engineer evaluating Felesh? The Developers view covers the patterns underneath — the separation between deciding, routing, and acting, per-organization isolation enforced by design, and change that stays auditable and reversible. It includes a path to a deeper architectural conversation under NDA.