Document review
Review a funding application while removing personal and banking details that are unnecessary to the task.
Use cases
Put AI to work where trust matters most.
Start with one practical workflow where AI creates value and data, permissions or accountability cannot be left to assumption.
Who Mantle is for
Built for organisations where trust is non-negotiable.
From banks and government departments to schools and enterprise teams, Mantle helps organisations put AI to work on sensitive information while keeping data, models, approvals and evidence under control.
| Sector | What Mantle helps with |
|---|---|
| 01Enterprise & private sector | Increase everyday productivity without creating uncontrolled exposure of customer or commercially sensitive data.→ |
| 02Government & public sector | Accelerate review work while protecting citizen information, financial details, approvals and decision evidence.→ |
| 03Banks & financial services | Use AI for KYC, risk and compliance work while keeping sensitive financial information within policy.→ |
| 04Schools, universities & research | Give staff useful AI tools while protecting student privacy, research data and institutional accountability.→ |
| 05Professional services | Deliver client work faster while enforcing client confidentiality, firm policy and approved model access.→ |
| 06Regulated industries & critical services | Explore high-value AI workflows while preserving data access controls, human approvals and traceable evidence.→ |
Use cases
Put AI to work where trust matters most.
Internal analysis
Summarise internal material without unnecessarily exposing employee, customer or transaction-level information.
Professional services
Use approved AI models while applying firm-specific rules to client information and external sharing.
Research and education
Work across sensitive research, administrative and institutional documents with clearer controls and accountability.
Regulated work
Explore productive AI workflows while retaining permissions, approvals and evidence around their use.
Pilot and design partner conversations
Bring one real AI workflow.
Start with one workflow, one team and one real policy boundary. We’ll explore where AI can create useful productivity without sacrificing control.
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