Build AI apps and agents for enterprise monetization.

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Zero rip-and-replace. Deploy AI apps and agents directly on your existing stack.
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Token governance. Set budgets, track consumption in real time, and prevent runaway AI spend before it hits the CFO.
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Policy and approvals. Define rules, enforce constraints, and keep the right humans in the loop.
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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.
User interface showing a workflow with a start node branching to 'Run JavaScript Code' and 'Update MData' tasks, converging at an end node, alongside a sidebar with options like 'Run JavaScript Code', 'Calculate Expression', and a text box explaining bank fee extraction and reconciliation.
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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 icon
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

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Composable builder
Assemble apps and agent workflows quickly using modular, reusable building blocks.
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Enterprise connectors
Work directly on top of the systems your revenue team already runs on.
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Policy and approvals
Define what agents can do, when they can act, and where humans must approve.
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Token governance
Track AI consumption, set budgets, and avoid runaway spend.
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Runtime control
Monitor behavior, manage execution, and keep operations predictable.
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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.
Flowchart showing pricing_agent applying a 22% discount triggering a policy rule violation for max_discount of 15%, resulting in hold status and routing to CFO approval.
Flow diagram showing pricing agent triggering policy gate on rule violation, escalating to human review for approval or rejection before the agent resumes.
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?
How long does it take to deploy?
How do we control what agents do?
How do we track what AI is actually costing us?
Is this secure enough for finance?

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.