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AI assistance, not AI autonomy

Human-in-the-loop approach. AI suggests, staff decide. Triage assistance, record summarisation, draft suggestions—all auditable.

The approach

AI features in CRM for NFP are assistive, not autonomous. AI provides suggestions, summaries, or drafts. Staff review and approve before action. Final decisions remain with people.

All AI actions are logged in audit trails: what was suggested, what was actioned, who approved it, when.

Three AI use cases

AI-assisted enquiry triage

Input: Enquiry text from web form or email

AI suggests: Category, priority, recommended action

Staff action: Review suggestion, confirm or override, assign to queue

Case note summarisation

Input: Multiple case notes over time

AI generates: Summary of key points, timeline, status

Staff action: Review summary, edit if needed, use for handover or reporting

Follow-up suggestion

Input: Client interaction history

AI suggests: "Consider follow-up regarding program eligibility"

Staff action: Review suggestion, decide whether to act, log decision

What you'll see in a demo

  • Triage suggestion
    See how AI analyses an enquiry and suggests category and priority. Staff confirm or override.
  • Case note summary
    View a multi-note case history summarised by AI. Staff review and edit before using for handovers.
  • Audit trail
    See how AI suggestions and staff decisions are both logged for accountability.

See AI assistance in action

Book a conversation to discuss human-in-the-loop AI for your use cases.

No hard sell. Just a practical demonstration.