Responsible AI
Last reviewed: 12 August 2026 · Privacy policy
Journey's model-backed AI is available only to Journey Advance providers after provider configuration and the required DPIA and release approvals. It fails closed unless the provider, tenant entitlement and applicable production controls are configured.
Responsible AI means using artificial intelligence to assist people rather than replace their judgement. Journey uses it to prepare learner evidence drafts, tutor and assessor feedback drafts, and proposed knowledge and skill links for review. It is never used to make high-stakes decisions on its own.
Where Journey uses AI
- Preparing learner evidence drafts and tutor or assessor feedback for the authorised user to review and adapt.
- Proposing knowledge and skill links from submitted evidence for staff to accept, reject or amend.
- Supporting clear, evidence-based descriptions; the provider's existing human workflow remains the source of record.
What Journey's AI never does
- It does not compute or decide funding figures, which are calculated server-side against versioned DfE rule packs.
- It does not decide gateway, EPA or compliance outcomes, which are confirmed by people and rules.
- It does not automatically mark evidence, change KSB progress, change learner status, or verify behaviours. Behaviour evidence requires attributable workplace evidence and any required employer verification or sign-off.
Human in the loop
AI output is a draft or suggestion for a person, not an automated decision. Staff review AI-assisted content before it informs a decision, and the append-only audit log records the actions people take.
Privacy by design
For an authorised evidence or feedback request, bounded learner-authored workflow content may be processed for that purpose. Journey applies pattern-based redaction to direct identifiers it detects and excludes credentials, payment data, raw signatures and document bytes. Redaction cannot guarantee that all personal data is removed, so the DPIA and authorised workflow boundary remain required controls. Tenant-scoped helpers verify that any referenced record belongs to the user's organisation before a call is made.
Governed and metered
Every AI call is metered and recorded in an AI usage ledger that stores compact metadata, not raw prompt content. Per-organisation rate and token limits keep use bounded, monitored and accountable.
Validated and safe to fail
AI responses are validated against an expected shape before use. If a model is unavailable or returns something unexpected, Journey reports that the assisted action is unavailable and leaves the underlying record unchanged rather than guessing.
Frequently asked questions
What is responsible AI in apprenticeship software?
Responsible AI means using artificial intelligence to assist people rather than replace their judgement, with clear limits on what data it sees, what decisions it can influence and how its use is recorded. In Journey, Advance AI prepares drafts and suggestions for human review; funding, gateway, EPA and compliance outcomes are always computed by rules and confirmed by people.
What learner data can Journey Advance AI process?
Only authorised, bounded workflow content needed for the requested draft or suggestion can be sent to the configured model provider. Journey applies pattern-based redaction to direct identifiers it detects, but cannot guarantee all personal data is removed; credentials, payment data, raw signatures and document bytes are excluded. Tenant-scoped checks verify that the user may access the referenced record before a call is made.
Can AI make a funding or compliance decision on its own?
No. AI output is a draft or a suggestion for a person. Funding figures, gateway and EPA readiness, and compliance outcomes are computed server-side against versioned rules and confirmed by staff — never decided by a model.
How is AI use kept within budget and monitored?
Every AI call is metered and recorded in an AI usage ledger that stores compact metadata, not raw prompt content. Per-organisation rate and token limits apply, so use stays bounded, monitored and accountable.
What happens if the AI model is unavailable?
The assisted action reports that it is unavailable and leaves the underlying learner, evidence and assessment records unchanged. Users can continue the normal human workflow without an AI result.
Journey is independent software. It is not endorsed by, affiliated with, or approved by Ofsted, the Department for Education or any other public body. References to frameworks and funding rules describe the standards Journey is built to support.
Contact
Questions about how we use AI? Email support@journeyapp.co.uk.