One metadata-driven platform that unifies AI, data and workflows — so AI doesn't just advise, it acts. Autonomous work across IT, customer, security and employee domains, governed and secured at scale.
Suggested: correlate with em_alert ALRT0002, raise major incident, draft comms. Awaiting approval.
AI without governed data and workflows is just expensive advice. Zyvark One is built on four pillars that turn intelligence into action.
Real-time access to data from any source, contextualized into a live data fabric that feeds every workflow.
Any AI model, grounded in your enterprise data, producing aligned, auditable decisions — never a black box.
Autonomous workflows execute end-to-end across every application and department on one system of action.
Built-in guardrails ensure every AI action and identity is secure, compliant, and approved as it happens.
Each product is a configuration on top of the same metadata core — so IT, customer, security and employee teams work as one.
Incidents, problems, change & CAB, catalog and knowledge — with impact×urgency priority and live SLAs.
Open →Omni-channel cases, entitlements and per-customer SLAs with AI-drafted, agent-approved replies.
Open →NIST-aligned incident response, vulnerability prioritization and threat intel mapped to your CMDB.
Open →Confidential, PII-scoped case management and lifecycle journeys that orchestrate IT, assets and access.
Open →Versioned repository with e-sign, template generation and an ACL-respecting RAG pipeline for AI Q&A.
Open →Hardware, software licenses and contracts on one ledger — from procurement to retirement, with compliance flags.
Open →Event correlation into actionable alerts, service maps and noise reduction that feeds incident management.
Open →The single source of truth for services, CIs and relationships that grounds every other module.
Open →Productized request items with approvals, fulfilment workflows and tasks — every request a tracked journey.
Open →Describe an app in plain language — the Build Agent scaffolds tables, a workflow, ACLs and UI as governed metadata.
Open →AI specialists assigned to roles — with business context and the exact permissions of a human in that role. They plan, retrieve grounded context, and act through governed tools under human-in-the-loop control.
Connect strategy, governance, management and performance for all your AI — internal and third-party — from a single governance plane.
Every agent, prompt, model and use-case — with owner, risk class and status.
Allowed tools and data per agent, PII redaction, and deploy-approval workflows.
Resolution rate, actions taken, human overrides, cost and drift — all tracked.
Per-tenant, instant disable of any agent. Every action is audited and reversible.
Tables, fields, forms, workflows, roles and even AI agents are themselves metadata. Modules are configuration, not code.
Every process is a configurable state machine with approvals, SLAs, notifications and automation — built visually, no code.
A shared assistant, RAG and agent layer powers every module with full audit, guardrails and human-in-the-loop control.
“Enterprises need AI that senses, decides, and securely acts — not another assistant that only advises.”
Explore a fully-seeded demo tenant — incidents, SLAs, agents and the Control Tower, all live on one metadata core.