Generic AI builders lack the reliable financial controls required to touch enterprise revenue. Mbrix is the no-code AI orchestration studio engineered specifically for monetization. We built the audit trails, policy enforcement, and financial guardrails directly into the foundation.
Trusted by ENTERPRISE CUSTOMERS
HOW IT WORKS
From prototype to production without the six-month integration.
Moving AI from a sandbox to production is an engineering nightmare. Mbrix delivers three architectural layers that work together to squash the deployment risk.
01
Build
Assemble AI apps and agent workflows using modular, composable building blocks. Start from pre-built templates designed for revenue operations or build from scratch.
02
Connect
Integrate natively. Mbrix connects directly to your ERP, CRM, and legacy billing systems. Your agents execute on real financial data and trigger real actions without ripping out your core infrastructure.
03
Govern
Set the guardrails before agents act. Token budgets, policy controls, approval workflows, and audit trails are built into every app and agent you deploy. Governance is a prerequisite, not an afterthought.
The governance gap
Building AI is not a big deal anymore. Until it is.
AI apps and agents are easy to create. Making them work on real systems, under financial controls, in real business workflows is where things break.
Generic AI Builders
Easy to prototype, hard to ship
Disconnected from ERP, CRM, and billing
Governance bolted on later
No visibility into token spend
Breaks in real business workflows
Built for demos
Mbrix
Built for production from day one
Native connectors to enterprise systems
Policy and approvals built in
Token governance built in
Designed for revenue and financial operations
Built for operational accountability
Everything you need beyond the build
Composable builder
Assemble apps and agent workflows quickly using modular, reusable building blocks.
Enterprise connectors
Work directly on top of the systems your revenue team already runs on.
Policy and approvals
Define what agents can do, when they can act, and where humans must approve.
Token governance
Track AI consumption, set budgets, and avoid runaway spend.
Runtime control
Monitor behavior, manage execution, and keep operations predictable.
Auditability
Maintain absolute visibility into actions, decisions, and approvals.
Govern AI before it destroys your margin.
Token governance
Set hard limits, monitor usage, and prevent uncontrolled AI compute spend before it becomes a CFO problem.
Policy enforcement
Define exact operational boundaries. Dictate what agents can do and where approvals are required before they ever take action.
Human-in-the-loop control
Route sensitive financial decisions through the right people. Every time, without exception.
The questions enterprises always ask. Answered.
Will this work with our existing systems?
Yes. Mbrix is built to sit on top of what you already have including SAP, Salesforce, NetSuite, ServiceNow, and more. No rip and replace. No rebuild. Your stack stays exactly where it is.
How long does it take to deploy?
Most teams go from setup to first production deployment in days, not quarters. Pre-built connectors and revenue-native templates mean you're not starting from zero.
How do we control what agents do?
Every agent in Mbrix operates under rules you define, what it can access, what it can trigger, and where a human must approve before it acts. Nothing runs unchecked.
How do we track what AI is actually costing us?
Token governance is built into every app and workflow. You set the budgets. Mbrix tracks consumption in real time. You see exactly where AI spend is going before it becomes a problem.
Is this secure enough for finance?
Mbrix is built for environments where money is involved. Role-based access, least privilege by default, full audit trails, and policy enforcement are not optional add-ons, they are the foundation.
Build fast. Connect deeply. Govern by design.
Mbrix helps enterprises move beyond AI demos to real-world deployment with the systems, controls, and governance needed to operate at scale.