metabiz.ai
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Operations professional using mOrbit to coordinate systems, knowledge, AI, and human approval

ENTERPRISE OPERATIONS BRAIN

Connect knowledge, data, systems, and AI to the work that needs improvement.

An enterprise operations brain is not a platform that replaces every system. It lets existing systems and AI work together inside a clear, verifiable, and manageable way of working.

Discuss your needsHow we deliver
Knowledge worker using mBrain to find enterprise sources and checkable answers

mBrain

Find the answer—and the evidence behind it.

Turn knowledge scattered across documents and handoff records into searchable answers, reducing repeated searching and questions. mBrain supports knowledge and evidence, not the entire operating system; authorized people still confirm important decisions.

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Data delivery analyst using AI EDP to review sources, validation, transformation, and delivery ownership

AI EDP

AI EDP lets proven systems stay in place.

Keep POS, CRM, ERP, and databases, then connect APIs, data, workflows, and agents where the work requires it. Invest customization in what truly differentiates the business.

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IT professional using mBase to govern AI models, access, cost, and auditability

mBase + mDock

Manage AI models, access, and budgets by business need

Define permitted models and data, budgets, and approval conditions for each workflow. Retain usage and exception records for IT and management review.

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MULTIPLE ENTRANCES

Enter through the problem the business is already carrying.

Members, workflows, knowledge, integration, and governance can start independently. Every path still defines the responsible person, data, baseline, risk, and primary outcome.

Members and customer operations

Assess membership programs, customer data, engagement, and operating tools.

Internal work and workflows

Find the critical work consuming time, creating errors, or slowing decisions.

Enterprise knowledge and data

Turn files, experience, sources, and evidence into capability people and AI can use.

Existing systems and AI

Keep proven systems, connect their data and workflows, then add AI.

AI usage, cost, and access

Make multi-team and multi-model use visible, controlled, and traceable.

SHARED CAPABILITY

Different problems share one set of capabilities that can last.

01

Existing operating systems

Keep the POS, CRM, ERP, commerce, files, and databases already running the business.

POS · CRM · ERP · Database

02

Knowledge and evidence

Preserve sources, versions, and evidence so AI knows where an answer came from.

mBrain

03

Data and system integration

Connect data, APIs, workflows, agents, and existing systems around the work that needs them.

AI EDP

04

Lower AI management overhead

Centralize models, tokens, access, cost, and skills to reduce repeated searching and manual data movement; keep approvals and audit according to risk.

mBase · mDock

05

Human-AI work and action

Give teams one work context so they spend less time moving information between chats, documents, and systems; authorized people still approve and track high-impact actions.

mDeck

Start with one problem and build a capability that can last.

01

Diagnose

Clarify the work, responsible person, data, baseline, risk, and one primary outcome.

02

Phased outcome validation

Agree the timeframe and scope, then review actual use, improvements, and maintenance arrangements.

03

Expand or operate

Expand only when the evidence holds; redefine the scope or stop when it does not.

This page describes product direction and composable capabilities. It does not mean every module is commercially validated in every context. Scope, maturity, SLA, infrastructure, and responsibility are agreed per engagement.

Your entrance can differ without creating another information silo.

Find the work blocking the business, then connect the knowledge, data, systems, and AI capability required to improve it.