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looking for taste in your ai work flow?

AI can make mistakes, lets verify it.4loop the human layer.

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Real AI failures are already happening.

“Air Canada's chatbot said a passenger could apply a bereavement fare after he had already booked.”

Why this failed: A tribunal found the airline responsible for the bot's answer, not just the website fine print.

Read the story →

The Problem

AI work moves fast. Confidence does not.

4loop decision panel for humans

AI agents can generate compliance reports, marketing campaigns, financial recommendations, customer responses, and operational decisions in seconds.

But once that work is created, teams still need to know:

  • Is it accurate?
  • Is it safe to use?
  • Is it ready to send, publish, approve, or act on?

Without a review layer, organizations face a bad tradeoff: slow every workflow down with manual checks, or let unverified AI work reach customers, teams, and the real world.

4LOOP ADDS VERIFICATION BEFORE RELEASE

Meaningful AI work, checked before it moves forward.

How It Works

Four steps. Verified output.

From agent execution to final delivery, 4loop adds human judgment at the moments that matter most

  1. Submit

    Your AI agent completes meaningful work — a draft, a recommendation, a decision — and submits the output for review.

  2. Route

    4loop detects when AI work needs verification, applies the right review criteria, and ensures it is checked before it moves forward.

  3. Verify

    Each AI output is checked, approved, edited, or returned with feedback before it moves forward. Every decision is recorded for visibility, accountability, and audit readiness.

  4. Finalize

    Verified outputs move forward for delivery or execution. Reviewers can use built-in AI tools to make improvements before approval, while rejected work returns to the agent for revision. Every loop closes with confidence and a complete audit trail.

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Capabilities

Built for how AI work actually reaches the real world.

Not a notification. Not a checkbox. 4loop routes meaningful AI outputs to you for structured review — approval, rejection, edits, or feedback — before anything is finalized, delivered, or acted on.

AI output becomes a live display in real time.

The AI automatically turns its data into a live console view as it works, giving users instant visibility into what is happening without manual setup or extra configuration.

Explore the live console

Locked templates keep AI workflows consistent and approval-ready.

Use locked templates to keep AI-driven workflows consistent, controlled, and approval-ready, with customization where your team needs it.

Explore locked templates

Outputs routed to the right expert, not the nearest person.

4loop matches AI outputs to qualified domain experts based on the type of work, the level of risk, and the expertise required. Routing is deterministic — meaningful outputs reach the reviewer who is qualified to evaluate them, every time.

Explore expert routing

Approve, reject, edit, or return with feedback.

Every review follows a structured decision framework. Experts do not just glance at outputs — they approve for finalization, reject with reasoning, edit directly, or return the output to the agent with specific feedback. The workflow continues only after a clear decision is made.

Explore structured decisions

Every decision recorded with who, when, and why.

4loop logs every verification decision — the reviewer, the timestamp, the outcome, and the reasoning. The result is a permanent record of accountability that connects every finalized output to a qualified human judgment.

Explore the audit ledger

Nothing final leaves without verified approval.

Meaningful AI outputs are gated before they are finalized, delivered, or executed. 4loop holds the output at the point of action until an expert has reviewed it and a decision has been recorded. AI moves fast — release happens on human terms.

Explore verified approval

Generative tools, chat LLMs, and knowledge retrieval — built for review.

4loop exposes built-in generative tools, custom configured tools, chat LLMs, and vector-backed retrieval for knowledge-grounded conversations. Capable AI assistance stays inside the same structured review path that keeps outputs accountable.

Explore AI tools
AI OUTPUTarch change4loopROUTINGDesignerEngineerDevOps Engineer
Optional Intelligent Routing

Not just verified. Verified by the right expert.

4loop routes every AI output to a domain expert — matched by skill set, risk level, and action type. No generic queues. Our team, is your team.

Design system updateDesigner
Architecture changeEngineer
Deployment configDevOps Engineer
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Who It’s For

For teams and people using AI to move faster — without letting quality slip.

AI speed. Built-in review. Outputs you can trust.

Small Business

Small teams punching above their weight

Use AI to create more, respond faster, and serve customers better — while keeping control over what goes out.

Need

A simple way to review customer-facing AI outputs before delivery, without adding extra headcount or slowing down the team.

Why 4loop

4loop gives small businesses a built-in review layer for AI work. Outputs can be checked, edited, approved, or sent back for revision before they reach customers.

Your team moves fast, while 4loop keeps quality, consistency, and accountability in the workflow.

Entrepreneurs

Solo founders scaling with control

You are the operator, decision-maker, and quality bar. AI helps you move faster, but you still need to know what is safe to ship.

Need

A review tool that helps you stay on top of important AI-generated work, especially when you are juggling everything yourself.

Why 4loop

4loop helps you review what matters before it goes live. You can approve outputs, request changes, revise with built-in AI tools, and keep a clear record of every decision.

AI handles the volume. 4loop helps you control the final result.

Startups

Lean teams building trust at speed

Every output that reaches a customer, partner, or investor reflects your company. AI can accelerate the work, but review still needs structure.

Need

A repeatable review workflow for investor-facing, customer-facing, and operational outputs — without building an internal approval system from scratch.

Why 4loop

4loop adds a structured review layer to your AI workflows. Outputs move through clear checkpoints where reviewers can approve, reject, edit, or return work with feedback.

Your team stays focused on building, while 4loop keeps review, revision, and accountability organized.

Everyday Users

People making decisions that deserve a second look

Resumes, contracts, legal letters, financial summaries, applications, complaints, and important messages — some AI outputs need more than a quick glance.

Need

A practical way to check important AI-generated work before acting on it.

Why 4loop

4loop gives you a review tool for AI outputs that matter. You can send work through a structured review process, receive feedback, make improvements with built-in AI tools, and move forward with more confidence.

Instead of wondering whether an AI output is good enough, 4loop helps you review it before it is used.

Pricing

Human verification for AI workflows.

Plan

Starter

For individuals and small teams piloting AI review through an MCP server.

Free for 3 weeksThen $50 /mo
  • MCP server included
  • 20 AI reviews templates
  • 1 team seat included
  • Additional team seats: $10/seat/month
  • Review dashboard
  • Basic routing
  • Email or dashboard delivery
  • Approve, reject, or return outputs
  • Basic review status tracking
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Plan

Growth

Most Popular

For teams scaling AI review operations through MCP-connected workflows.

$499 /mo
  • MCP server included
  • 50 AI reviews templates
  • 10 team seats
  • API access
  • Advanced MCP connectivity
  • MCP triage layer
  • Approval policies
  • Priority routing
  • Review dashboard
  • Built-in AI revision tools
  • Workflow analytics
  • Audit trail
  • Custom review criteria
  • Status tracking across teams
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Plan

Enterprise

For scale, compliance, and expert-backed AI review infrastructure.

Custom
  • Unlimited AI reviews templates
  • Unlimited or custom team seats
  • Custom MCP servers and integrations
  • Advanced MCP triage and routing
  • Domain expert review available, including DevOps, legal, design, security, compliance, engineering, and other domains
  • Custom reviewer pools
  • Custom approval policies
  • Service-level agreements
  • Single sign-on
  • Compliance controls
  • Dedicated onboarding
  • Advanced reporting
  • Built-in AI revision tools
  • Advanced audit trail
  • Custom routing logic
  • Custom data retention policies
  • Volume-based platform pricing
Contact Sales

Expert review types

Standard

Marketing copy, business operations, customer communication, low-risk content

Code

AI-generated code, scripts, pull request checks, logic validation, pre-merge review

Technical

Infrastructure, DevOps workflows, data systems, architecture decisions

Critical / Security

Cybersecurity decisions, incident-related actions, production-sensitive changes

MCP connectivity

Connect agents through the Model Context Protocol server at /mcp (Streamable HTTP), or use the matching REST endpoints at /api/agent. Both routes support the same review workflow.

Agent integration

Point MCP-capable clients, such as Claude Desktop, Cursor, or your own MCP client, at your 4loop API. Agents can submit work for human review, check status, and track the review from the same thread.

MCP tool server

Registered tools let agents submit reviews by content type or published template, retrieve decisions and evaluation details, answer reviewer follow-ups, and fetch payload schemas before submission. Optional webhooks can notify your app when reviews complete.

Enterprise rollout

Enterprise plans cover SSO, routing and approval policies, dedicated reviewer pools, SLAs, compliance controls, and hands-on help connecting MCP or REST to your existing systems.

Platform plans cover routing, audit trails, and workflow controls. Expert verification is billed based on actual usage.

Frequently Asked Questions

Questions. Answered.

What is 4loop?

4loop is an expert verification layer for AI agents that sends important work to a qualified human expert before it is finalized, delivered, or acted on.

How does it work?

An AI agent submits work to 4loop. A matched expert reviews it, approves or edits it, and sends the result back so the workflow can continue safely.

How do agents connect to 4loop?

Through an API or MCP server. This lets AI agents submit work for expert review, receive decisions, and continue execution in a structured way.

Why MCP?

Because expert verification should behave like a callable tool inside an agent workflow, not a disconnected manual process.

What does the MCP server return?

Approval status, reviewer comments, edits, timestamps, and the final reviewed output for the next workflow step.

Can 4loop pause an agent?

Yes. In pause-based workflows, the agent can stop at a critical step, wait for expert verification, and then resume once a decision is returned.

What can experts do?

Experts can approve, reject, edit, or comment on AI-generated outputs.

Who is it for?

Teams using AI in workflows where trust, quality, compliance, or brand risk matter.

What kinds of tasks can it review?

Marketing content, customer communications, cybersecurity findings, reports, operational actions, and structured outputs before they are sent or executed.

Still have questions? Contact us →
Get Started

AI moves fast.
Bring it back to better judgement.

Give your team a simple way to review, refine, and approve AI outputs before they go live — so the right expert always has the final say.

Join the WaitlistTalk to Our Team→
  • ✓Setup in minutes
  • ✓Route to the right expert
  • ✓Human sign-off before it ships