Govern an AI-assisted workflow

Outcome

Control consent, data minimisation, provider calls, cost, human review and final application as one traceable workflow.

QuantifyQS keeps the working record understandable to a quantity surveyor and reconstructable by an authorised reviewer. The screen helps organise the work; the accountable professional still owns judgement and approval.

Before you start

• Approved use case and data classification.
• Provider and retention notice.
• Budget, reviewer and acceptance criteria.

Working method

1. Confirm contextOpen the correct organisation and project, confirm your visible role, then check that source information and status are current.
2. Make the controlled changeComplete the govern an ai-assisted workflow task in the relevant workspace. Use references, notes and structured fields instead of relying on memory or an offline copy.
3. Review before issueCheck quantities, rates, dates, parties and evidence, then use the named review or approval state appropriate to the workflow.
4. Retain the resultKeep the issued output and its project event together. Where a PDF or spreadsheet is exported, verify the generated file before sending it outside the workspace.

Evidence and checks

• Consent and provider boundary are current.
• Usage and cost are durably attributable.
• Apply, revise or reject decision is retained.

Roles and boundaries

• Workspace role determines what a person may view or change; plan determines what the organisation has contracted to use.
• Customer-specific Firm and Enterprise panels do not widen a user role or cross the active tenant boundary.
• AI suggestions, imported data and generated documents require human review before professional reliance or issue.