The brain of your organization
AgentStaQ gives operators a central AI brain that routes work, streams reasoning, calls tools, and turns approved runs into reusable AI employees.
Built for business operations. Orchestrate, train, deploy, and scale your AI employee for your tasks and tech stack. All with human-in-review.
AgentStaQ is designed to transform AI to move from chatbots to persistent AI employees that are trained on your own business rules. The product treats every successful workflow as a future employee: reviewed, versioned, connected, trained, scheduled, and measured. Built with enterprise-grade security.
Secure, certified handling of sensitive health information.
Advanced privacy standards for the protection of personal data.
Verified security practices for enterprise-grade data protection.
Global excellence in information security management.
Build your own AI agents at scale. Create, execute, review and deploy your AI workforce inside your own system, with your own set rules.
AgentStaQ gives operators a central AI brain that routes work, streams reasoning, calls tools, and turns approved runs into reusable AI employees.
The connector layer supports MCP tools, direct REST and OAuth APIs, browser automation with MFA, and custom adapters for proprietary systems.
Outputs land in Review by default. Staff approve, correct, and promote high-quality runs into named employees with schedules, triggers, and versioned profiles.
The platform is HIPAA-compliant by design, role-based access, encrypted credentials, self-hosted models, audit logs, and blockchain-anchored run history throughout.
A minute from now, your first AI employee can be working. AgentStaQ provides a general purpose AI worker platform where you can hire, train, and deploy AI agents. Run on your current systems safely, deploy anywhere without any limitations.
HIPAA, SOC 2 Type II, and GDPR compliant.
Works on the schedule you set for your trained AI agent.
Every workflow and output is reviewed by a human.
Decisions, preferences, business rules, and context. No reset.
Integrates into your system and the tools you already pay for.
The dashboard shows you daily KPIs of every agent as a report.
Live metrics for total runs, pending reviews, approved work, background jobs, agent performance, cost per run, and organization brain growth.
A master agent thread with Instant, Agent, Auto, and Train modes. Auto mode chooses the fastest and cheapest path for each task.
MCP, API, browser agent, and custom connector modes let agents work across EHRs, payer portals, finance tools, CRMs, file systems, and internal apps.
Every run records status, timing, model, confidence, connector, token usage, user, and a SHA-256 audit anchor for tamper-evident verification.
Human reviewers see the result, reasoning, and connector trail before output takes effect. Corrections become labelled training pairs.
Approved workflows become named employees with three clear actions: Utilize for one-off work, Deploy for recurring jobs, and Train for updates.
Bell alerts, Microsoft Teams routing, and webhook-style notifications keep the right team informed when runs finish or need review.
Org-level RAG indexes SOPs, payer rules, approved outputs, corrections, and institutional memory so new agents inherit context from day one.
AgentStaQ is built with regulated workflows in mind: protected data, role-gated actions, encrypted connectors, traceable runs, and deployment options that keep sensitive inference close to the client environment.
Role-based permissions by user, business unit, title, and agent visibility.
AES-256 encrypted connector credentials, OAuth tokens, API keys, passwords, and TOTP seeds.
TLS 1.3 for connector calls, API endpoints, and browser agent sessions.
Self-hosted Tier 1 models for sensitive workloads where PHI should stay inside the client perimeter.
Append-only operational logs with blockchain-anchored hashes for run-level verification.
Deployment options for healthcare, finance, IT operations, white-label partners, and enterprise custom editions.
AgentStaQ is Zelvora's latest innovation. We aim to transform and boost productivity through our AI employees platform. Currently handling real-time operations, it is ready to take over day-to-day work.
Tell us which workflows you want to hand to an AI employee. We'll show you how AgentStaQ runs them inside your own systems, with a human in review.