metabiz.ai
Discuss your needs
Knowledge worker using mBrain to find enterprise sources and checkable answers

mBrain

Help teams find an answer with its source and applicable version.

mBrain organizes private business knowledge with sources, versions, access controls, and citations for customer service, training, and AI-assisted work. Existing systems continue to handle transactions and operational processes.

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mBrain · Scoped solution

What to confirm before you start

Who it is for

  • Knowledge and operations teams
  • Organizations needing trustworthy AI answers

Scope to confirm first

Start by discussing the relevant work and integration scope, then confirm any customization, data conditions, and delivery approach needed.

  • Private knowledge and sources
  • Versions, access, and citations
  • Conflict, gap, and unresolved-state labels

First discussion

Bring the piece of work you most want to improve, the teams involved, and the systems you use today.

  • One AI or knowledge workflow you want to improve, plus the tools and data used today.
  • The IT, security, governance, or workflow owner, and the permissions, approvals, and records required.

Scope and delivery

  • It does not automatically turn unapproved content into policy.
  • Your designated knowledge team reviews whether content is applicable and keeps it up to date.

POS, CRM, ERP, commerce, booking, payment, logistics, or other system connections are confirmed separately based on interfaces, data conditions, and ownership. Product capability descriptions do not mean every integration, customization, or maintenance service is included.

The first needs discussion is free. If deeper diagnosis or planning is useful, we confirm the scope and fee first. Training, data import, and ongoing maintenance are also confirmed separately before work begins.

Start with your work and current situation

What can improve

Improvement to pursue

  1. 01

    Give new employees day-one access

    Let new employees begin safely with sourced work knowledge.

  2. 02

    See applicability before reuse

    Keep version, date, audience, and limits in the query context to reduce back-and-forth checking.

  3. 03

    Turn knowledge gaps into next work

    Retain the gap, question, and accountable person so teams do not keep searching for the same answer.

New employee finding trusted work knowledge and its original source on day one

Find the right knowledge on day one

Start from a work question and find traceable sources and approved content.

You do not need to know whom to ask first; find the source, then begin.
New employee checking version and intended audience before using work knowledge

Know whether an answer applies

See version, date, audience, and limits together before reuse.

Confirm that the knowledge applies before you bring it into work.
New employee leaving an unresolved question for the accountable owner

Organize knowledge gaps

When an answer is missing or still needs confirmation, retain the question and accountable owner so work continues safely.

Turn uncertainty into a clear piece of follow-up work.

Customer use cases

Start with the work the team must complete, not a feature checklist.

  • Knowledge and operations teams
  • Organizations needing trustworthy AI answers
01

Enterprise knowledge entry

Find policy, experience, and working methods faster.

02

Evidence-backed AI

Return answers with sources, versions, and limits.

How work improves

Keep effective existing systems and connect the work in practical stages.

  1. 01

    Collect sources

    Connect files, data, and approved content.

  2. 02

    Organize context

    Maintain versions, access, and relationships.

  3. 03

    Query and verify

    Let people and AI use and return to evidence.

How it works with other systems

Show only the product relationships needed to complete this work, without replacing every system at once.

Start with your work

Start with the part of daily work that takes too much time or creates avoidable errors.

Discuss your needs