QORIS
Enterprise AI Workers

Deploy AI workers with enterprise control.

Qoris gives enterprises the infrastructure to run AI workers across teams, tools, memory, approvals, and external agents — with Knox governance and audit built into every sensitive action.

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Built for teams that need AI workers to act safely, remember correctly, and prove what happened.

From AI Experiments to Production

Enterprises don't just need agents. They need control over agents.

AI agents are moving from demos into real business workflows. They draft emails, update systems, retrieve data, call tools, write memory, route work, and interact with customers. That creates a new enterprise problem.

  • Who controls what the agent can do?
  • What memory did it use?
  • What tool did it call?
  • Was the action approved?
  • What policy applied?
  • Can the business prove what happened?

Qoris is built for this layer.

Control Plane

One operating layer for workers, memory, policies, tools, and audit

Qoris OS gives enterprises a governed foundation for AI work. Deploy Qoris Workers, run dedicated Worker Containers, or connect external agents to Qoris Memory, Knox, tools, approvals, and Audit.

Workers

Business-ready AI workers for sales, support, operations, compliance, reporting, and customer workflows.

Harness

Every Harness ships with three default agents — a Planner that decomposes multi-step goals, a Researcher that pulls context before action, and an Executor that runs the workflow. They're pre-wired for subagent orchestration on first boot, so workers can be deployed with or without a template.

Memory

Give workers Fast Recall and Canonical Memory, with proposals, review, merge, rollback, and audit.

Knox

Check sensitive actions before execution across tools, memory, communication, browser actions, and external agents.

Tools / MCP

Connect CRMs, helpdesks, email, calendars, billing, documents, internal APIs, and MCP servers safely.

Audit

Record every run, memory read, tool call, Knox decision, approval, and worker action.

Governance

Pre-execution policy, human approval, and audit — built in

Knox checks every governed action before it runs. Approvals route to the right human. Audit records the full path.

Knox: pre-execution governance for AI actions

Knox is the execution firewall inside Qoris OS. When a worker tries to send an email, update CRM, write memory, access protected data, call a tool, submit a browser action, issue a refund, or trigger an external system, Knox evaluates the action against policy.

AllowReviewBlock

Knox can govern external communication, PII access, memory reads and writes, tool and MCP calls, CRM updates, financial actions, browser actions, and external agent activity.

Keep humans in control of high-risk actions

Enterprise AI should not require humans to approve every small action. But it should know when to pause. Qoris lets teams define when workers can act automatically, when they should draft only, when they need approval, and when actions should be blocked entirely.

Approval examples

  • Customer-facing email
  • CRM update
  • Refund or credit
  • Discount or pricing exception
  • Vendor decision
  • External data share

Approval roles

  • Manager
  • Account owner
  • Compliance reviewer
  • Finance reviewer
  • Legal reviewer
  • Security reviewer

Trace every decision, action, memory update, and tool call

When AI workers operate across real business systems, teams need more than chat logs. Qoris Audit records the full path: what worker ran, what context it used, what memory it accessed, what tool it called, what Knox decided, who approved it, and what happened next.

What did the worker attempt? What data did it use? What policy applied? Why was the action allowed or blocked? Who approved it? What system changed? What memory changed? What happened next?

Audit proves what happened. Knox decides what's allowed to happen.

Qoris Memory

Long-term AI memory without uncontrolled memory pollution

AI workers need memory to operate over time. But enterprises can't let every conversation, assumption, or generated summary become trusted truth.

Qoris Memory separates Fast Recall from Canonical Memory. Fast Recall helps workers find relevant context quickly. Canonical Memory stores verified long-term facts, summaries, preferences, decisions, policies, and workflow rules.

Memory model

  • Fast Recall Memory — semantic retrieval for quick context
  • Canonical Memory — verified source of truth

Enterprise controls

  • Scoped memory access
  • Protected memory repositories
  • Memory proposals
  • Review and merge
  • Rollback
  • Knox checks
  • Audit history
  • External agent memory permissions

Workers remember like teammates and update truth like engineers — reviewed, versioned, governed, and auditable.

Dedicated Runtimes

Run AI workers in isolated runtimes

Some enterprise workflows need more than hosted agents — dedicated runtimes, scoped credentials, environment separation, infrastructure control, and security review.

Worker Containers let teams run AI workers in isolated environments with Qoris Memory, Knox, tools, MCP access, approvals, and Audit built in.

Qoris-managed

Dedicated worker runtimes hosted and managed by Qoris.

Customer-owned

Worker runtimes deployed into customer-controlled infrastructure.

External runtimes

Connect existing agents or custom runtimes to Qoris Memory, Knox, and Audit.

Where workers run matters as much as what they do.

Agent-Agnostic Control

Govern agents even when they don't run inside Qoris

Enterprises won't use one agent stack for everything. Some teams use Claude. Others use MCP clients, custom agents, internal runtimes, or agent frameworks built in-house.

Qoris brings Memory, Knox, and Audit to those agents without forcing a full migration.

External paths

  • Claude
  • LangChain
  • CrewAI
  • AutoGen
  • MCP clients
  • Custom agent APIs
  • Internal AI platforms

What you get

  • Scoped memory access
  • Knox policy checks
  • Tool permissions
  • Approval routing
  • Audit logging
  • Rate limits
  • Identity tracking
  • Environment scope

Qoris can be your AI OS, or the control layer for the AI systems you already have.

Enterprise Readiness

Designed for security-sensitive teams

Qoris gives security and infrastructure teams the controls they need to deploy AI workers in production.

Identity & access

  • SSO / SCIM
  • Role-based access
  • Scoped API keys

Runtime & data

  • Environment separation
  • Dedicated worker containers
  • Customer-owned infrastructure options

Memory & policy

  • Memory access controls
  • Protected memory repositories
  • Knox policy sets
  • Approval workflows

Audit & integrations

  • Audit retention
  • External agent permissions
  • MCP / tool permissions
  • Security review support

Enterprise deployment requirements vary. Qoris supports custom security, infrastructure, and compliance needs through Enterprise plans.

Why Qoris

Enterprise AI needs an operating layer, not another isolated agent

Standalone assistants

Useful for individual productivity. Limited for governed business execution.

Generic agent builders

Help create agents, but leave memory, policies, runtime, approvals, and audit as separate problems.

Traditional automation

Executes fixed workflows but struggles with reasoning, memory, and adaptive work.

Qoris OS

Combines workers, Harness orchestration, Memory, Knox, tools, worker containers, external agents, approvals, and Audit into one governed execution layer.

Qoris is built for the moment AI moves from helping people work to doing the work — under enterprise control.

Build Your Workforce

Deploy AI workers your
enterprise can trust.

Qoris gives teams the operating layer for governed AI work: workers, containers, Memory, Knox, tools, approvals, external agents, and Audit.

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