VALENTINA SHVETSOVA@valentina_shvetsova

ContextGuard is a real-time meeting agent that catches conflicts between what's being said and what your company already knows — then acts on it. It listens through Speechmatics with speaker diarization, parses every decision, promise, and assignment via Gemini 2.5 Flash, and checks each one against your company's memory graph: legal blockers, prior decisions, owner capacity, customer commitments, dependency chains. The moment a statement collides with reality, an evidence-backed card appears on screen — citing the exact source ("Legal Review, May 12 — DPA pending") with a suggested next step. The intervention happens during the call, when course-correction still costs seconds. After the meeting, two more layers activate. A Personal Summary engine rewrites the session from one participant's point of view: what they now own, what was decided that affects their scope, which flags involved them. A Service Agent Layer then executes the operational decisions: a GitHub agent updates issues and labels, a Jira/Notion agent reassigns owners and shifts priorities, a Gmail agent drafts the customer email walking back the promise that just got flagged. Every action is logged with before/after diffs. Target audience: product, engineering, and operations teams at companies of 50+ where Sales, Legal, Platform, and Product each carry a different version of reality, and meetings are where those versions collide. The whole stack runs as a single Next.js app, deployable to Vultr in one command — Speechmatics tokens minted server-side, structured Gemini output under a strict JSON schema, and a Valkey-backed action queue so service agents run asynchronously without blocking the meeting UI. Meeting assistants tell you what happened. We surface what would stop it — and then do something about it.

Onboarding Mission Control is a multi-agent AI solution that turns fragmented employee onboarding into a guided, trackable journey. Built on IBM watsonx Orchestrate, it uses an orchestration agent to route every request to specialist agents: an HR checklist agent, a role-based Learning Quest agent, a RAG-powered FAQ agent grounded in the employee handbook, and a Knowledge Guardian that reviews RAG answers for hallucinations and policy mismatches. For new hires, the system provides a day-by-day checklist, personalized 3-day learning quests with quizzes and badges, and a conversational FAQ that only responds with verified information. For HR and managers, an agent aggregates progress by user, highlights who is stuck on critical steps such as security or compliance training, and surfaces onboarding risks. The result is faster, more consistent onboarding with less manual follow-up, lower compliance risk, and a reusable orchestration pattern that can be extended to other HR workflows like role changes, promotions and offboarding.

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