Product walkthrough · 3 min
AI-suggested speakers & reviewers
Let AI propose speaker and reviewer candidates from your conference's existing roles, tracks, and workload — as ranked suggestions that a human approves before anyone is assigned.
AI-suggested speakers & reviewers walkthrough video
How it works
Step by step
- 1
Pick the track or role to fill
Choose the track or the role you need to staff — a session speaker, a panelist, or a reviewer.
- 2
Generate candidates
The assistant proposes candidates drawn from people already connected to your conference — organizers, past speakers, and reviewers — matched to the track's topic.
- 3
See why each was suggested
Every suggestion shows its rationale: topic fit with the track, existing role, and current workload, so you understand each recommendation.
- 4
Check workload and availability
Candidates already carrying a heavy review or speaking load are ranked lower, helping you avoid overcommitting the same few people.
- 5
Approve or dismiss
Nothing is assigned automatically. You approve a suggestion to create the assignment, or dismiss it — the AI is advisory only.
- 6
Send the invitation
Approved candidates receive an invitation to speak or review, and their status is tracked alongside the rest of your program.
In this walkthrough
What you'll see
- Ranked speaker and reviewer suggestions per track or role
- The rationale behind each suggestion, including current workload
- The explicit human approval step before any assignment is made
- How approved suggestions flow into invitations and assignments
FAQ
Frequently asked questions
Does the AI assign speakers or reviewers on its own?
No. Every suggestion is advisory. A human organizer must approve a candidate before any assignment or invitation is created.
Where do the suggestions come from?
Candidates are drawn from people already associated with your conference — roles, tracks, past speakers, and reviewers — matched to the topic and ranked by fit and workload.
Can I see why someone was suggested?
Yes. Each suggestion includes its rationale — topic fit, role, and current workload — so you can make an informed decision.
Does it consider how busy someone already is?
Yes. Current review and speaking workload is factored into the ranking so you don't overload the same contributors.
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