Agent Assurance
Give an AI agent authority without giving up control - guardrails, action audit, full-context replay, and a kill-switch that actually kills. Operate delivers it bespoke today; this is the packaged build.
AGENT: BACK-OFFICE OPS · LIVE RUN KILL-SWITCH ARMED
Action requests → policy gate
read overdue invoices from ERP
draft 12 payment reminders
send reminders to 12 customers
issue €450 refund to customer #2291
Action ledger - tamper-evident
How it will work
The Four Guarantees were built for predictions. Agents act - so the trust layer moves from "is this answer right?" to "is this action allowed, logged, and reversible?"
Define the authority
What may the agent read alone (🟢), write only inside a declared envelope (🟡), and never touch (🔴)? Writes never go green. Consequence-gated autonomy, written as policy - not vibes in a prompt.
Wrap every tool in the gate
Each tool call passes the policy layer before execution. The agent can't discover a path around it - the gate is infrastructure, not instruction.
Trace everything, replay anything
Every action lands in a tamper-evident ledger with full context - any run reconstructable for an auditor, step by step, with the inputs and the verdict that produced it.
Evaluate trajectories, not answers
Task success, tool-choice quality, safety adherence (pass^k) - and behavioural drift caught at the gate when models update underneath the agent.
Methodology reference
The published method this build is based on, and what it did in production.
NVIDIA open-sourced NeMo Guardrails to wrap LLM agents in programmable input, dialog and output rails.
Programmable agent guardrails · as reported by NVIDIA ↗
Referenced for methodology only. AimRank is not affiliated with, endorsed by, or a customer of these companies; each links to its own public source. Sources last checked September 2026.
The Four Guarantees™ - lifted to the agent layer
Measured value
Eval the decision and its outcome - task success, right tool, worth of the action - not a single prediction's accuracy.
Defensible
Action tracing + decision logs + a tamper-evident record of every act - replay for a regulator, not per-row SHAP.
Self-improving
Behavioural drift alerts the moment quality slips; the agent learns from its own trajectories under eval-gated, human-approved promotion - capability compounds, regressions get caught.
Yours & everywhere
The toolbelt stays portable and owned - MCP surfaces with tiered access (🟢 read, 🟡 gated write, 🔴 never), replayable inside your own infrastructure.
Where it stands - honestly
Waitlist terms: founding users get launch pricing locked, first onboarding slots, and a say in which agent frameworks we gate first. No payment, no commitment.
Hand over the keys. Keep the kill-switch.
Join the waitlist for the packaged build - one email when its evals exist, one when your onboarding slot opens. Need it sooner? Operate scopes it bespoke on a call.
No commitment · GDPR-consented · your agents, your infrastructure