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NEW - SPRINT BUILDSTAGE 5 · BEHIND OPERATEPACKAGED BUILD IN DEVELOPMENT · WAITLIST OPEN

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.

bespoke today through Operate · packaged pricing announced at launch, waitlist locks founding terms

AGENT: BACK-OFFICE OPS · LIVE RUN KILL-SWITCH ARMED

Action requests → policy gate

read overdue invoices from ERP

🟢 AUTO→ executed · 84ms

draft 12 payment reminders

🟡 IN ENVELOPE→ unattended · staged, reversible

send reminders to 12 customers

🟡 HELD - human approval→ approved by R.K. · sent

issue €450 refund to customer #2291

🔴 DENIED - above autonomy budget→ escalated to a human · nothing moved
Action ledger - tamper-evident
#0341 read.erp.invoices ✓
#0342 draft.reminders(12) ✓
#0343 send.email(12) ✓ HITL
#0344 refund.issue(450) ✗ DENIED
▶ REPLAY RUN - every step reconstructed for audit, in order, with full context
trajectory eval ▸ task success PASS · safety PASS · 0 unauthorized actions

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?"

01

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.

02

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.

03

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.

04

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

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

Queued sprint build: the waitlist hears the date first, and no number is published before the eval gate runs
🟢🟡🔴 three gate levels - consequence decides autonomy, not convenience
100% of actions logged and replayable with full context - by design, not by promise
0 performance claims until agent evals run on real workloads
Autonomy without assurance is recklessness - including ours. This page is the packaged, productised version of the Agent Assurance that Operate delivers bespoke today. The package is next in the sprint queue; until its own trajectory evals pass, this page makes no performance claims for it. The thesis stands regardless: the more agentic the world gets, the more valuable the gate - trust, not capability, is what blocks enterprise agents today. The package is built to the same standard as everything else in the catalog.

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