Sessionboard + Spark

Event-native AI on program data in Sessionboard — Spark for generic tasks only if needed.

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Clarion Events
Financial Times
Dynatrace
ACEP
AVIXA
NACD
ASHG
American Society of Anesthesiologists
Google
Docebo
NRECA
CyberRisk Alliance
AdventHealth
Questex
IAAPA Expo
NAEYC
Informa
Clarion Events
Financial Times
Dynatrace
ACEP
AVIXA
NACD
ASHG
American Society of Anesthesiologists
Google
Docebo
NRECA
CyberRisk Alliance
AdventHealth
Questex
IAAPA Expo
NAEYC

Quick answer

Sessionboard Create, Remix, and Enterprise AI run on live event data — acceptance emails, agenda publish, transcripts, clips, and advocacy triggers from the graph you already manage. Spark is a horizontal AI workspace for generic event marketing prompts. Use it only if marketing already owns Spark seats; program and content outcomes are native in Sessionboard.

Sound like your team?

Match your role to the job Sessionboard solves — program ops, content reuse, or marketing attribution.

Registration owner

Registration stays on your incumbent platform — but program and speaker ops should not stop at CSV export.

Marketing ops

Another point tool mid-contract — Sessionboard public API keeps the program graph authoritative.

AV / production

Capture vendor locked for the season — write transcriptions and media back via API instead of re-keying.

Executive buyer

Rip-and-replace is a non-starter — you need displacement on program depth while registration stays put.

What Sessionboard delivers natively

Keep Spark mid-contract when you need to — Sessionboard owns call for papers, speaker operations, and content marketing on the program graph.

Spark — still owns

  • Generic AI task library

    Multi-model prompts for marketing copy not tied to a live event database.

  • Agent Studio experiments

    No-code chains for marketers exploring AI workflows outside program systems.

  • Horizontal productivity

    Useful when AI literacy is the buy — not when program automation is the buy.

Sessionboard — built in

  • Event-state-driven Create and Studio

    Articles, carousels, quote cards, and video projects from transcripts and session metadata — no prompt paste.

  • Remix and program AI

    Bulk metadata optimization and Enterprise AI agents for review matching, triage, and agenda assistance on in-platform data.

  • Transcription-to-content pipeline

    Live and batch transcription feeds quotes, clips, and Create inputs on the Media Library graph.

  • Advocacy peer marketing

    Tracked advocacy links, LinkedIn publish, and AI share copy when speakers and sponsors promote sessions they are in.

How the data flows

Program and session data live in Sessionboard — with optional sync to and from Spark.

  • Session accepted in Sessionboard — Create and automated comms use speaker name, abstract, and track without export.
  • Agenda published — Remix optimizes titles and descriptions; Attendee Hub and embeds update from live state.
  • Transcription completes — quote library and Create pull standout lines and chapters from Media Library.
  • Optional Spark path — copy program context into Spark tasks for generic marketing experiments Spark handles better.
  • Advocacy campaigns assign advocates tracked links; analytics tie shares to registration — not available in Spark.

Integration status: Sessionboard Create, Remix, and Advocacy require no Spark subscription. Spark ↔ Sessionboard Apps connector is planned for teams that keep both; today program context exports manually if marketing insists on Spark for non-program tasks.

Event MCP

Ask your AI about the event — not a spreadsheet export

Sessionboard connects to the assistants your team already uses through MCP. Sessions, speakers, and committee data stay in Sessionboard — Claude, ChatGPT, and Copilot read it live.

  • OAuth sign-in — no API keys to copy or rotate
  • Live program graph — sessions, speakers, review rounds, readiness gaps
  • Works beside registration and capture tools you already run
Sessionboard Event MCP
You

Which accepted speakers still haven’t submitted bios before we publish the app?

Assistant

12 accepted speakers are missing bios. 4 also lack headshots. Top gaps: Dr. Rivera (keynote), Panel B moderators (2), Workshop track (3).

Live from Sessionboard · updated 2 min ago

Running Spark today?

See how Sessionboard fits beside your existing stack.

Request a demo

When both make sense

Sessionboard already includes transcription, attendee experiences, and content marketing. Keep Spark when you still need a specific piece of their product.

Keep Spark when

  • Marketing already pays for Spark seats and uses Agent Studio for non-program content experiments
  • Comms team wants a sandbox separate from production program data for brainstorm drafts

Sessionboard is enough when

  • AI outputs should trigger from acceptance, agenda publish, and transcription events — not manual exports
  • Transcription, clips, Attendee Hub, Create, and Advocacy should share one session graph
  • Per-seat AI tool sprawl does not fit association economics — Content Marketing bundles capture and repurposing natively
  • Enterprise AI agents on program workflow (review, triage, agenda) are the strategic buy over generic task lists
  • Peer promotion with registration attribution requires Advocacy — not Spark

Frequently asked questions

How Sessionboard works beside Spark.

For program and session content — yes. Create, Remix, transcription, and Advocacy are native. Spark remains optional for generic marketing AI experiments outside program data.

Spark chains generic marketer actions. Sessionboard Enterprise AI targets program workflows — reviewer matching, triage, agenda assistance — on data inside your event.

Native on Sessionboard — Media Library, Attendee Hub, and companion APIs. Spark does not capture live sessions or deliver attendee replays.

If a partner produces transcripts or media, public API supports write:transcriptions and write:media on sessions. Native capture avoids that step.

Most teams hit program pain first — spreadsheets, email committees, re-keyed exports. Sessionboard is usually the entry point; Spark is additive for marketing AI literacy.

Using Spark for event AI content?

Talk through your event workflow — abstracts, speakers, content, and marketing on one program graph.

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