Grant guide
Human review status for AI grant alerts
Human review status tells a team whether AI-assisted funding analysis is still a draft, needs checking, is approved for use, or should not be sent.
Teams deciding where to spend application time
Funding teams, consultants and operators reviewing AI-generated grant summaries, alert previews and application notes.
Make the first review more concrete
Understand human review status in AI-assisted grant matching and alerts.
Review workflow
What FundingLens helps you do
Keep source facts, caveats and next actions together so your team can decide what deserves attention before application work starts.
Use draft or AI drafted for outputs that have not been checked against source pages and organisation evidence.
Use needs review when source data is incomplete, confidence is low, eligibility is ambiguous or a deadline makes action risky.
Use approved, no-send or superseded states so alert previews, saved opportunities and draft notes do not become accidental customer communications.
Readiness checks
- AI output marked as draft until checked.
- Source facts and caveats reviewed by a human.
- No-send state available for unsafe alerts.
- Approved state tied to source citations.
- Superseded records retained for audit context.
Eligibility caveats
- Human review status supports safer workflows; it is not legal assurance.
- Approved for review does not mean a grant application will succeed.
- Review states must be visible to users and backed by audit records.
Source references
Use UK government AI assurance guidance to frame review records, evidence, limitations and human oversight for AI-assisted funding analysis.
Official sourceICO AI and data protection guidanceUse ICO AI guidance to frame human oversight, data protection and review controls without presenting FundingLens as legal advice.
Official sourceGovernment Data Quality FrameworkUse the framework to ground metadata, data quality, provenance, caveats and review practices for public-source funding data.
Related FundingLens pages
Create AI grant audit trails with source inputs, model routing, budget records, citations, deterministic fallbacks and human review status.
AI funding intelligenceGrant alerts that explain fit before they hit your inboxFundingLens monitors public funding sources, scores fit, explains eligibility caveats and previews deadline alerts before anything is sent.
Grant guideConfidence score: how much evidence supports a funding matchUnderstand confidence scores in AI grant matching as evidence-quality signals for source completeness, ambiguity, freshness and review need.
Grant guideGrant data provenance for funding alertsTrack grant data provenance with source URLs, fetched dates, raw fields, normalised fields, confidence notes and known caveats.