AI implementation with defined boundaries and accountability.
Governance is a design constraint applied while the workflow is built, not a policy document consulted after an incident. The controls below describe how Bridgelytic works; the final control set is defined with each client.
Narrow capabilities with defined inputs, outputs and refusal behavior.
A named role reviews every consequential output before it leaves the business.
Inputs, outputs, reviewers and overrides recorded with client-defined retention.
Any operator can halt an automated path without seeking permission.
AI use-case classification
Every candidate capability is classified before it is built, using two axes: the sensitivity of the data it touches and the consequence of the decision it influences. Classification determines the oversight model — a drafting assistant over internal notes and a capability that touches customer commitments are not the same control problem.
- Data sensitivity rating per capability
- Decision consequence rating per capability
- Oversight model selected from the classification, not applied uniformly
Data boundaries
Each capability reads from an explicitly approved set of sources and nothing else. Approval is granted per capability rather than per organization, and is reviewed when the capability changes.
- Named, approved sources documented before implementation
- Data minimization — only the fields the capability requires
- No training on client data without an explicit written agreement
Access controls
Access follows the roles that already exist in your organization. Where the underlying systems enforce entitlements, the AI capability inherits them rather than bypassing them.
- Role-based access aligned to existing entitlements
- Separation between clients, entities or portfolio companies
- Access reviewed as part of the standing governance cadence
Human oversight
Consequential output is reviewed by a named role before it reaches a client, customer, financial record or external party. The reviewer is identified by role in the workflow design, not assigned informally after deployment.
- A named reviewing role for each consequential output path
- No autonomous action in consequential processes without approval
- Review step instrumented so skipped review is visible
Model and output evaluation
Capabilities are evaluated against a defined set of representative cases before release and re-evaluated when prompts, sources or models change. Evaluation is a build artifact, not an afterthought.
- Representative evaluation set defined with the business owner
- Regression checks when configuration changes
- Quality tracked in production, not only at launch
Logging
Inputs, outputs, reviewers and overrides are recorded with a retention period the client defines, so a decision can be reconstructed when it is questioned.
Exception management
Every automated path has a documented exception route and an escalation any operator can trigger without seeking permission. Halting an automated path is treated as correct behavior, not as a fault.
Privacy
Personal data handling is designed with the client's obligations in mind: minimization, purpose limitation, retention and deletion are defined per capability. Bridgelytic does not determine your regulatory obligations on your behalf.
Security coordination
Implementation is coordinated with your security and IT functions. Bridgelytic works inside the environment, review process and vendor standards you already operate.
Adoption and change management
Adoption is a delivery obligation. Operators are involved in the design, trained on the path, and usage is measured so quiet non-adoption is visible early.
Executive accountability
Each capability in production has a named business owner, a named reviewer role and a defined review cadence. Ownership is documented at handover so it survives the end of the engagement.
Scope of these statements
This page describes Bridgelytic's implementation practices. Final controls are defined with each client based on the use case, data, industry, technology environment and risk level.
Bridgelytic does not provide legal, security, regulatory or compliance guarantees, and makes no certification claims. Clients remain responsible for their own regulatory obligations.
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