Responsible AI

Humans lead. Agents assist.

MindAgain is designed so humans stay in control. Here is how we build and enforce that principle across every agent and workflow.

Human and AI working together responsibly

AI that earns your trust, step by step.

Human reviewing and approving AI suggestions

Human approval required

How it works

Every consequential action an agent proposes — sending a message, filing a task, flagging a record — is presented to you for approval before execution. Agents never take autonomous actions that affect external systems without your explicit sign-off.

Scoped access and permissions settings

Scoped agent permissions

How it works

Each agent is granted the minimum permissions needed for its defined job. You explicitly configure what each agent can see and do. Permissions can be revoked at any time from the workspace settings.

Defined boundaries and guardrails

Action boundaries

How it works

Agents operate within clearly defined boundaries. They can read your goals, knowledge base, habits, and reflections — but only within your workspace. Cross-workspace data access, internet browsing, and external API calls require explicit opt-in.

AI grounded in real data and context

Hallucination handling

How it works

The AI Coach is grounded in your workspace data. When it cannot find a confident answer in your knowledge base, it says so rather than generating plausible-sounding misinformation. For medical, legal, or financial questions, it always recommends consulting a professional.

Audit log and review workflow

Review workflows

How it works

Agent activity is logged in full with inputs, outputs, timestamps, and reasoning summaries. You can review, edit, or reverse agent suggestions from the audit log. There is no hidden activity.

Professional oversight for regulated decisions

No final decisions on regulated matters

How it works

MindAgain agents do not make final medical, legal, or financial decisions. They assist with information, reminders, and workflow organization. All regulated-domain suggestions are clearly labeled as informational and require human review.

Questions about our AI practices?

We are happy to discuss how agents are scoped, what data they access, and how we handle edge cases.

Contact us