Your teams and agents are using AI everywhere — running up cost and creating risk no one can fully see. Agentics puts every AI tool behind one set of rules, stops the expensive or dangerous calls before they happen, and gives you proof it's under control when regulators or your board come asking.
Think of what Plaid did for banking — one secure connection between apps and every bank — but for AI. Instead of every team wiring up AI tools on their own, with their own costs and risks, everything runs through Agentics first. We check each request against your rules, send it to the right AI, and keep a record you can prove. One place to see it all, control it, and answer for it.
Right now, people across your company are using AI tools and building agents no one approved — spending real money and touching real data with zero oversight. That's how budgets blow up and how the next leak starts. Agentics shows you all of it in one view: every tool, every team, what it costs, and where you're exposed.
Most companies are surprised by what they find on day one.
It takes one bad AI action to do real damage: a customer's data sent where it shouldn't go, an agent that burns through your budget overnight, an answer that breaks a rule you're legally required to follow. Agentics checks every request against your rules and blocks the ones that cross the line — automatically, before they ever reach the AI.
Set a budget and it can't be passed. Mark data off-limits and it never leaves.
Saying your AI is safe isn't enough anymore. The EU AI Act — in full force this August — and your own auditors want evidence, and a report you wrote yourself is easy to wave away. Agentics keeps a permanent record of every AI action that no one can secretly change, not even us — and your auditor can check it themselves.
So when the board, a regulator, or a customer asks you to prove it, you can.
Don't take our word for it — try changing one character in the record below and watch it reject the change.
SHA-256 runs in your browser via Web Crypto. No Agentics call.
Most tools can tell you an AI did something. Agentics tells you what happened next — did that action get reversed, cause a problem, or turn out fine? That's the difference between a log and real insight. Over time you learn which models and vendors actually cause trouble, your costs drop because the system steers around what doesn't work, and "our AI is getting safer and cheaper" becomes something you can show on paper.
The EU AI Act now requires you to show a human is overseeing your high-risk AI — with fines up to €35M or 7% of global revenue. Agentics produces exactly the evidence those rules ask for. Turn it on before the deadline, not after the audit.
No per-tool pointing. Start a shell-scoped capture session, then use Claude Code, Codex, Grok, or your existing SDKs normally.
# 1) Create an API key in Console -> Settings -> Keys, then paste it below. # macOS / Linux / Git Bash export AGENTICS_API_KEY="ak_..." curl -fsSL https://agentics.you/install.sh | bash export PATH="$HOME/.agentics/bin:$PATH" agentics login --api-key "$AGENTICS_API_KEY" eval "$(agentics capture)" agentics capture doctor # Run Claude Code, Codex, Grok, or any SDK normally. # Every call produces a hash-only Agentics receipt.
See every AI in your company, put it under one set of rules, and walk into any audit with proof — not promises. Your first record appears minutes after you turn it on.