Trackey AI

Keep your agents. Keep your workflow. Add control.

The Challenge

UNVERIFIED AGENTS

Agents Can Be Wrong

Hallucinations, incomplete work, missed requirements, and workflow drift can happen even when an agent appears to be working correctly.

Manual Review Doesn’t Scale

Your employees shouldn’t have to spend their day checking everything an AI agent produces as autonomous volume increases.

Activity Logs Aren’t Verification

Knowing what an agent did is useful. Knowing whether the result should be trusted and authorized is better.

Small Errors Become Bigger Problems

A bad agent decision can create rework, delays, escalations, compliance risk, or costly downstream mistakes before anyone notices.

CLEAR ANSWERS INTUITIVE DASHBOARD

Trackey is designed to help employees and teams quickly understand what is happening with their AI agents.

Instead of digging through technical logs or trying to interpret raw agent activity, your team gets a straightforward verification result with supporting evidence.

EXAMPLE VERIFICATION RESULT

Agent: Customer Support Agent
Task: Prepare customer resolution response
QA Review: Complete | Instruction Compliance: Verified

PASS: Verified for continuation.

Verification Architecture

How Trackey Works

Trackey sits between your AI agents and the systems, employees, or workflows that depend on their work.

Integration Active Layer
Step 1

Connect

Connect Trackey to an existing agent workflow without replacing your platform or redesigning your environment.

Step 2

Verify

Trackey independently evaluates the agent’s work using governed QA and review controls.

Step 3

Decide

Every reviewed task receives a clear, deterministic disposition before moving downstream.

Results

Disposition

Work is categorized into PASS, CORRECT, ESCALATE, or BLOCK based on policy.