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AI Agent Controls, Governance and Data Protection

Your work.
Privately done.

Everyone else controls where data can go. RedactSure controls what the AI can see. Sensitive values become tokens before any model reads the screen, and a named person approves every consequential action.

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Sensitive work.
Human control.

A space for your work

One conversation.
A clear way forward.

Illustrative RedactSure project workspace with a workflow conversation, tasks, and files.
Plan it. Put it to work. Keep it private.See the workspace

01 / Privacy, built into the work

Privacy happens
before AI sees it.

Render-layer tokenization replaces sensitive values with consistent tokens before any model reads the screen.

The sensitive values you choose to protect stay in your protected workspace. The AI works with tokens and the context it needs.

Useful context for the assistant.
Private information stays yours.
Same task. Private details.Illustrative example

Your protected view

Review the statements for Jamie Rivera and account ending 7492.

What the AI receives

Review the statements for [PERSON_001] and account ending [ACCOUNT_001].

The assistant can work with the context. Your sensitive values stay in your protected workspace.

02 / From a request to a result

Ask for what you need.
Leave with work done.

Think it through together. Then let your assistant gather the pieces, work through the details, and prepare something you can use.

Start with what you need

“Collect this month’s statements, analyze cash flow, and prepare a report.”
One request. A considered plan.
  1. 01

    Make a plan together.

    Your assistant identifies the sources, steps, and result. Keep the work together in a project.

  2. 02

    Give it the right scope.

    Review the applications, protected data, allowed actions, and approval points before work begins.

  3. 03

    Keep the work moving.

    Supervise the run, handle exceptions, and keep consequential actions with a named approver.

Something useful on the other side

Answers are a start.
Bring the work with you.

  • Cash-flow analysisA clear report, ready to review.Ready
  • Monthly summaryThe figures, organized and usable.Saved
  • Source statementsKeep the context behind the answer.Saved

Reports and source files stay together with the run record: actions, approvals, interventions, and results.

Illustrative task and outputs

03 / Across your apps

Alongside you.
Within your boundaries.

Let your assistant work in approved apps, collect documents, and follow the task you’ve reviewed. See what’s happening as it happens.

When a step needs you, take over the browser. Sign in, check a detail, then hand it back.

The focused browser workspace with human browser controls, execution-agent conversation, and a permission request.
Watch. Pause. Take over.See the browser

04 / A practical first deployment

Start small.
Prove the workflow.

Start with one recurring task, a clear owner, and an outcome worth measuring. Define the systems, protected values, allowed actions, and approval points. Then run a bounded pilot with your team.

How a governed pilot works

Paid pilot

Scituate School Department

Scituate School Department is piloting budget-transfer automation and sanctioned AI drafting across five principals and the superintendent’s office. Principal approval remains required.

Read the brief ↗

Bring your hardest questions

What the AI can seeLeast Exposure Who approves the actionSupervised Delegation What the record showsAI Control Record Explore all research ↗

Let’s put it to work

Your workflow.
Your questions.

Bring us one sensitive workflow. Tell us which systems it crosses and which decisions must stay with your team.

Meet with the founders

Bring your
hardest questions.

Twenty-five minutes on the architecture, or a demo on a workflow like yours.

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