Your AI support agent recommends a $500 customer credit. Agentics captures that action the moment it happens, checks it against your policy, routes it to a human because the amount requires one, records the decision — then tracks what happened next: did the customer stay, did the ticket reopen, what did it actually cost or save. Every step sealed in one tamper-evident receipt anyone can verify.
An AI support agent recommends a $500 customer credit. Walk the exact path Agentics records — from the moment the action happens to the receipt your auditor can verify. Six steps, nothing skipped.
Logs and guardrails stop at the moment of the action. Agentics connects each decision to what happened afterward in the downstream system — did the customer stay, did the ticket reopen, was the credit reversed — and to the dollars it cost or saved. Decision quality becomes something you measure, not something you argue about.
You write the rule once: credits over $250 need a human. Refunds over $1,000 need two. Anything touching regulated data doesn't run at all. Agentics evaluates every consequential action against those rules the moment it's captured — blocking what crosses the line, and routing what needs judgment to the person who owns the call.
Not a gate on everything — a human exactly where you require one.
Saying your AI is under control isn't enough anymore. Regulators and your own auditors want evidence, and a report you wrote yourself is easy to wave away. Agentics seals every action, policy check, decision, outcome, and dollar figure into one permanent record no one can secretly change, not even us — and your auditor checks it themselves.
So when the board, a regulator, or a customer asks you to prove it, you can.
Don't take our word for it — try changing one character in the record below and watch it reject the change.
Interactive preview with sample data. The real check is npx @agentics/verify — a four-step recompute against the hash chain, no trust in Agentics required.
The EU AI Act now requires you to show a human is overseeing your high-risk AI — with fines up to €35M or 7% of global revenue. Demonstrable human oversight of a high-risk workflow is exactly what this workflow produces, receipt by receipt. Put one workflow under control before the deadline, not after the audit.
Point the agent that owns your high-risk workflow at Agentics — one command or one base URL. Its consequential actions start landing on the record immediately; policy and approval routing switch on from the console.
# 1) Create an API key in Console -> Settings -> Keys, then paste it below. # macOS / Linux / Git Bash export AGENTICS_API_KEY="ak_..." curl -fsSL https://agentics.you/install.sh | bash export PATH="$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.
Start with a single workflow — support credits, refunds, payouts. Our team wires it with you during the beta; you get decision receipts your CFO and your auditor can check, and a measured answer to "was it the right call?"