REACH — where sessions become governed knowledge
One approved input powers six specialized agents in parallel. A consistency agent cross-checks every output; nothing publishes until a human approves.
Most conference-session value was abandoned after every event — 60+ hours of manual editorial work per cycle, ~1 asset per session, and no formal handoff from events to editorial. Most sessions were never actioned.
The Futures Industry Association runs 20+ global events a year generating hours of high-value expert content that historically never scaled. Presented as a case study at Harvard HDSI 2026.
Helped implement REACH end-to-end — contributing to its agent workflows, rollout, and the governance model that keeps humans in the loop.
Generating editorial-quality content at scale without sacrificing accuracy, brand voice, or accountability — and keeping a human meaningfully in control of every publication.
An AI content-intelligence platform: one approved, locked transcript powers six specialized agents (summary, article, social, FAQ, chapters, insights) generating in parallel. A consistency agent cross-checks all outputs against each other and the source before an editor ever sees them. A human review gate approves everything before distribution.
Treated orchestration design as governance design — human accountability at every consequential decision, transparency through traceability, compliance as infrastructure, and proportional autonomy where agents earn trust over time.
From ~1 asset/session to 6+; from 60+ manual hours to a draft package in minutes; from most sessions abandoned to every session actioned — driving sponsor ROI, member loyalty, and industry authority.
REACH is not a faster version of the old workflow — it's a new system of reasoning and execution with accountability built into every layer.