Insights & articles
Company announcements, product milestones and the principles we advance.
Why AI outputs need an audit trail
In an era where AI handles daily work, trust is a matter of verification, not technology. MJDOIT processes every task through a disciplined pipeline: receive, investigate, draft, r…
Source-grounded generation is a requirement for legal and finance
In legal and finance, an AI failure is not a mere wrong answer — it becomes an accountability problem. That is why the requirement in these domains is not about the output itself, …
The core of an AI workforce is separation of duties
Having many AI agents does not automatically make an organization safer. The core question is how roles are separated and how they verify one another. If a single system ingests in…
Why assessing AI should not stop at the output
When evaluating an AI adoption, most enterprises look only at the quality of the output. But a single output cannot tell you whether the system can be trusted inside your company. …