Questions, answered

Automation runs a fixed sequence you designed. An AI team is given an objective and works toward it, and it hands work to a person when it should not decide alone.

The agents are the same; the brief is not. A founder’s team is pointed at shipping an MVP and validating demand. An enterprise team is pointed at multi-tenant scale, ticketing integration, and regional pipeline. The first assignment decides which one you start with.

Sign up and tell us what you are building. Then agree the first assignment: the work, the connections it needs, and who reviews the result. Start focused, then add responsibilities as the results justify them.

No. Scoping is done with whoever owns the process. Engineering is only involved when an agent needs access to a system that has no standard integration.

It depends on the assignment and the connections you set up. Start with a focused assignment so you can review a first result quickly.

Pricing is not per seat. Your initial scope and price are agreed before work begins, so you are buying a defined piece of work with a scorecard attached, not a licence.

No. Agents work inside the systems you already run. If a tool has no standard integration we will say so during scoping rather than after.

You keep the scoping document and the record of the work, and we stop. A team whose work cannot be measured is one we should not have set up, and that is our call to get right up front.

Each agent ships with an execution scorecard agreed up front. You review it the way you would review a hire: against the outcomes you asked for.

It escalates rather than guesses. You choose the confidence threshold below which work is handed to a person, per agent.

Yes. You can revoke access at any time, and the action record shows what was done before you stopped it. Stopping further access does not automatically undo an action already completed.

Early on, a daily review of the output queue. Once the scorecards are stable, most teams move to a weekly review.

Agents are configured against your steps, so a process change is a configuration change. Nothing is hardcoded into a bespoke build.

Yes, within the permissions its brief has been granted. Each system is scoped separately, so widening one does not quietly widen the rest.

Handoffs between team members are visible, so you can see who owns the next step and review the work before it moves on.

Work stops at the last completed step and is retried rather than half-applied. The audit trail shows where it paused and what had already been written.

Only what its brief requires, granted per system and reviewable at any time. Sending, spending, publishing and deleting require your approval.

Every action an agent takes is recorded with its inputs and the decision that produced it, so any output can be traced back to its reasoning.

In the region you nominate. Data residency is set per workspace and does not change without your say-so.

Yes, where your provider supports it. The agent brief and the scorecard are independent of which model executes the work.

Every agent's permissions are listed in one place with the date they were granted, so an access review is a report rather than an investigation.

Yes. Terms are agreed before any access is granted, and the agreement names the systems and the retention period for that engagement.

For the period set in your agreement, after which logs and any cached content are deleted. Retention is set per workspace, not globally.

We will walk your security team through the access model, the audit trail, and our current posture during scoping, and answer questionnaires in writing.

No—that is not the proposition.

Keep the tools that are useful to you. Evaluate MyndBoosters AI for the coordinated team experience around your business priorities. Specific connections depend on the integrations supported for your setup; using a tool separately does not automatically mean MyndBoosters AI integrates with it.

Not with the expert-led service. You work with one human professional matched to your main priority. They coordinate the agreed work, review outputs within their expertise, and bring important decisions and exceptions to you.

You remain involved in setting goals and approving consequential actions, but you are not left to manage every agent handoff yourself. Your proposal specifies the expert’s responsibilities and included review time

Yes. Start by describing what you are trying to build and what would make the first result useful. The initial assignment should match the information, systems, and review capacity you have available.

A prototype assignment is different from an approved production release.

MyndBoosters AI’s published Privacy Policy says user content is not used to train or fine-tune models unless the customer separately gives explicit written permission through a clearly labeled opt-in program.

Before connecting business systems, review the applicable providers, processing arrangements, retention periods, and contractual terms.

AI can make mistakes. Review requirements, limited permissions, and action records help you identify and address them.

Work that needs judgment should reach the designated reviewer. Stopping further access does not automatically undo an action already completed.

Your initial scope and price are agreed before work begins. Pricing is not per seat, and it is tied to defined work and an agreed scorecard.

Start with the assignment that matters most, then decide whether to expand.