Six layers. One throughline. Every signal in real time.

Acquisition · Demand funnel

Know eight weeks out whether you'll fill the room. Fix it if you won't.

SYSOI turns the event brief into an executable acquisition plan, audiences, channels, schedule, per-channel targets, then paces actual registrations against a curve, flags behind-pace the moment it happens, names the target accounts with nobody registered yet, and runs the staged outreach that closes the gap. Every registration code attributes back to its channel automatically. Nothing sends until a human presses Activate.

How it works. Opus drafts the plan from your brand foundation plus the event North-Star. Pacing measures each contact's first touch against a curve built from your own last event (or an uploaded curve, or a format-aware industry prior), with a verdict on every read and a Slack alert the moment an event falls behind. The audience-gap board unions nominees, marketing audience, and engaged non-converters against who actually converted, rolled up by account, worst first. Outreach runs as staged sequences and per-account campaigns drafted from account dossiers, grounded in the event's own facts, with consent enforced in the machinery: declined contacts are hard-blocked, every email carries one-click unsubscribe, and already-registered contacts are excluded automatically. Media research recommends where your ICP actually consumes media; SYSOI never buys media.

Reads and writes: the same unified record and registration sources as every other layer; email ships from your own verified sending domain.

Consistency Engine · Forensic drift signals

A forensic analyst watching your event. Not a chatbot.

SYSOI's Consistency Engine reads the live unified record against your North-Star and emits drift signals across five dimensions, KPI, audience, voice, content, context, with severity ratings, evidence cited inline, and a recommended fix. Every signal is human-reviewed. Every dismissal teaches the system what to ignore.

How it works. Opus runs a forensic scan over a structured snapshot of the event (goals, KPIs, audience composition, session content, brand voice). Outputs are typed signals with severity (info / warn / critical), evidence (the data point that triggered it), and a recommendation. The reviewer queue is human-in-the-loop: acknowledged signals stay open; dismissed signals write to the per-tenant playbook so the same false positive doesn't recur. The Brain-First Protocol weighs prior patterns and prior mistakes before reasoning.

Marquee · CFP fit

Score every session against the event's strategy. With the deck.

Marquee scores every CFP submission, every track topic, and every speaker against the event's North-Star themes, audience ICP, and brand voice, additive math across pillar alignment, audience fit, strategic fit, technical depth, voice fit, and delivery readiness. Upload the actual presentation deck and SYSOI re-scores against what's built, not what's promised.

How it works. Sonnet runs a fixed-additive rubric (six capped factors → 0–100) over each submission. Rationale is the recommendation, accept, accept with revisions, decline. Deck-grounded re-score attaches the PDF as a Claude document and re-evaluates technical depth, voice fit, and delivery readiness against what's actually built. Promote-to-sessions one-clicks accepted submissions into the live agenda the Consistency Engine reads.