Trust, access, and oversight built into the platform.
Mentoros is designed for enterprise environments where assistants must be permissioned, scoped, reviewable, and accountable. Governance, access control, auditability, and privacy-aware operation are built into the platform architecture — across deployments, integrations, and intelligence.
AI Assistants
L1Connected Sources
L2Intelligence Layer
L3Admin Console
L4Access model
Role-aware
Scope
Per deployment
Audit
Logged centrally
Governance is part of how the platform runs.
Access, scope, and oversight are platform primitives — not features added after deployment. The same controls apply across assistants, integrations, and intelligence, and live where the platform itself is configured.
AI Assistants
Each assistant operates within an explicit scope of capabilities, sources, and policies.
Connected Sources
Integrations are scoped, permissioned, and never universally exposed across deployments.
Intelligence Layer
Analytics and conversation review respect the same access boundaries as the assistants.
Admin Console
Configuration, roles, audit, and oversight are operated from one control plane.
The controls that hold the platform accountable.
A focused set of platform-level controls — each one operational, not aspirational.
Role-based access
Permissions defined per workspace, role, and deployment — enforced consistently across surfaces.
Deployment scoping
Each deployment runs inside its own boundary of sources, capabilities, and visibility.
Audit trails
Configuration changes, access events, and review activity are logged centrally and per deployment.
Encryption
Data is encrypted in transit and at rest, with key handling aligned to enterprise expectations.
No training on customer data
Customer conversations and source content are not used to train shared or third-party models.
Data residency options
Residency configurations are available where supported, to align with regional and policy requirements.
Mentoros communicates capabilities it can support today — not certifications it does not yet hold.
Control what each deployment can access.
Assistants, sources, actions, and analytics are scoped by deployment, team, and role. Access follows context — not a single global permission set.
By deployment
Customer-facing, support, and internal deployments each see their own scope of sources and capabilities.
By team
Workspaces define which teams operate which deployments — and what they can configure.
By role
Roles determine who can read, configure, review, or audit — across every surface of the platform.
By source
Connected sources stay bound to the deployments authorized to use them — no implicit cross-access.
Scope, applied consistently
Per deployment| Surface | Customer-facing | Support | Internal |
|---|---|---|---|
| Sources | Catalog · CMS · Storefront | KB · CRM · Tickets | Wiki · SOPs · Drives |
| Actions | Browse · Recommend | Lookup · Triage | Search · Summarize |
| Insight | Behavior · Conversion | Resolution · Escalation | Knowledge demand |
| Reviewers | CX · Brand | Support ops | IT · Knowledge ops |
Reviewable, observable, and accountable by design.
Oversight is treated as a first-class platform capability — covering conversations, configuration, access, and source visibility.
Activity & audit log
Mentoros Support · last 24 hours
- 14:02Updated policy: Refund eligibilitypriya.r
- 13:41Granted reviewer role on Support · EUmarc.t
- 12:18Conversation flagged for oversightsystem
- 09:47Connected source: Tickets (read-only)lina.k
- 08:12Daily configuration snapshot recordedsystem
Conversation review
Inspect, replay, and annotate real conversations — inside the deployment they belong to.
Configuration history
Track who changed what and when — across personas, policies, sources, and deployments.
Access review
Visibility into who has access to which deployments, sources, and intelligence views.
Activity logging
Audit-grade logging of platform actions, with consistent shape across deployments.
Action attribution
Operator and assistant actions are attributed clearly — useful for review and governance.
Operational continuity
Reviewability persists across configuration changes, version updates, and deployment edits.
Customer data stays under customer control.
Privacy-aware operation is part of the platform model. Mentoros operates on approved sources, within configured scopes, and without using customer content to train shared models.
No training on customer data
Conversations and source content are not used to train shared or third-party models.
Bounded by deployment
Data is handled inside the boundary of the deployment that produced it — no implicit reuse across tracks.
Designed with GDPR principles in mind
Architectural choices reflect GDPR principles such as scope, minimization, and accountability.
Residency options where supported
Where regional residency is required, configuration paths are available to honor it.
Source-governed retrieval
Retrieval respects source-level permissions — the platform never widens access on its own.
Encryption in transit and at rest
Encrypted across the platform, with key handling aligned to enterprise expectations.
Mentoros communicates how the platform is designed to operate — not legal guarantees. Specific contractual and compliance commitments are reviewed per engagement.
The same controls apply across the platform.
Governance is not limited to the response layer. The same access, scope, and oversight model extends to connected systems, tool-use, and the intelligence built on top.
Across integrations
Connected systems and actions inherit the deployment’s scope — read paths and write paths alike.
- Per-deployment authorization
- Action-level permission boundaries
- No universal source exposure
Across intelligence
Operational signal and conversation review follow the same role and deployment boundaries as the assistants.
- Role-aware analytics views
- Source-aware insight only
- Audit-logged exports
Across configuration
Persona, policy, source, and assistant configuration changes are attributed, reviewable, and reversible.
- Change history per deployment
- Reviewer roles on sensitive edits
- Snapshot-grade traceability
Operated from the same console that runs the platform.
Security and governance are not a separate product surface. Roles, scopes, sources, audit, and oversight are configured where the rest of the platform is configured.
Governance · Mentoros Support
Workspace: Customer Operations
Deployment
Mentoros Support · EU
Active scopes
Roles
- Operator4
- Reviewer6
- Read-only12
Workspaces & roles
Define who operates what — across deployments and teams.
Deployment scoping
Bound sources, capabilities, and visibility per deployment.
Source permissions
Authorize, scope, and revoke connected systems centrally.
Conversation review
Inspect real activity — inside the deployment that produced it.
Audit visibility
Searchable logs of configuration, access, and review events.
Policy & persona
Configure assistant behavior under reviewable policy boundaries.
Why this trust model works for enterprise teams.
Governed from day one
No separate control layer to design, integrate, or bolt on after deployment.
One trust model, many deployments
Customer-facing, support, and internal deployments operate under the same controls.
Permissioned rollout, pilot to production
Scope expands deliberately as deployments mature — not by default.
Built for enterprise procurement
Visibility, auditability, and access discipline that hold up to operational and security review.
Let’s map Mentoros to your trust requirements.
Walk through your governance model, deployment scoping, data handling expectations, and enterprise rollout requirements — and see how Mentoros aligns with them.