Amnic tracks your infra. Vantage tracks your tokens.
PromptKing tracks the people — and controls the agents.
AI may move fast.
It should never move unseen.
— the moment before waste happens
PromptKing sits between every AI agent and every vendor API — reconstructing trajectories, catching loops, attributing cost, and stopping waste before it compounds. Even when no one pressed send.
For the CFO
THE MOMENT BEFORE
Your AI invoice arrives. It's bigger than last month. Nobody in the room can name the team, the agent, or the workflow that caused it.
For the IT Director
THE MOMENT BEFORE
The Copilot renewal lands on your desk. Finance wants to know what it's buying. You have utilisation data for none of it.
For the Platform Lead
THE MOMENT BEFORE
An agent loops. Nobody sees it. By the time the bill arrives, the waste has already compounded.
USPTO Provisional 2-01025019 · Databricks Technology Partner · 6 Vendors · Client Zero June 2026 · SOC2 Type II Roadmap Q1 2027
COMPLEMENTARY INFRASTRUCTURE
What Agent Identity Platforms Don't Capture
Microsoft Agent 365 governs agent identity, permissions, and security posture. PromptKing governs AI spend behaviour, trajectory risk, and cross-vendor economic accountability.
PromptKing runs alongside your existing identity and security infrastructure — it does not replace it.
No ghost motion. No invisible spend. No mystery spike.
Every agent action leaves a wake. PromptKing reconstructs it — step by step — before the cost compounds.
Execution Layer
Autonomous Agents · Code Gen · Auto-Loops
PromptKing
Runtime Control Plane
Vendor API Layer
Foundation Models · Cloud AI · Agent Framework APIs
Enterprise Layer
Security Operations
Behavioral telemetry feed
IT Governance
Asset attribution · Cost center mapping
Behavioral telemetry · Cost signals
Agents don't just spend. They chain actions.
A single agent session can spawn sub-agents, loop, retry, and drift across tools. Each step carries cost and risk. Without trajectory reconstruction, that cost and risk stays invisible until it compounds.
The runtime control plane for agent economic outcomes.
PromptKing sits above the agents. It reconstructs full trajectories, detects behavior patterns in real time, emits containment signals when economic thresholds are breached, and surfaces the economic payload at every decision point — before the cost compounds.
behavior → trajectory → outcome → projection → decision → control
What PromptKing governs
Ghost seats and wasted licenses
Detects licensed AI seats with zero or near-zero activity across Claude, Copilot, Gemini, Bedrock, and Watsonx. Classifies every seat into five archetypes — Ghost, Underutilised, Normal, Power User, At-Risk — and surfaces rightsizing recommendations with confidence scores.
See Seat Fleet →
The layer that keeps agents from becoming financial liabilities.
Reconstructs full agent trajectories in real time. When an agent loops — same tool, same result, no progress — PromptKing quantifies the waste, emits a containment signal, and stops the spend before it compounds into a bill nobody can explain.
See Loop Detection →Six vendors. One control plane.
Anthropic Claude, Microsoft 365 Copilot, GitHub Copilot, Google Gemini, AWS Bedrock, IBM Watsonx — unified in a single dashboard. Seat-level utilisation, cost attribution, and governance signals across every vendor your organisation runs.
See Vendor Dashboard →
EU AI Act — August 2, 2026
Auto-classifies your AI inventory against EU AI Act Annex III high-risk categories. Generates deployer evidence and human oversight records. Enforcement deadline is August 2, 2026 — 39 days from now.
See Compliance Dashboard →CFO, COO, and CRO reports
One-click reports formatted for each executive persona. The CFO sees spend, waste, and recoverable budget. The COO sees utilisation and efficiency. The CRO sees ROI and cost avoidance. No spreadsheets. No manual assembly.
See Executive Reports →
Simulate before enforce
Every governance action runs in simulate mode first — recording what the system would do and why, with full explainability and audit trail, before any real enforcement is applied. No black box. No surprise actions.
See Policy Engine →What agent behavior caused this cost?
Should it have been allowed to run?
What would it have cost if we hadn't stopped it?
These are the questions most platforms can't answer. PromptKing was built for exactly this.
LIVE TRAJECTORY — synthetic-cycle-test-google-001
We don't measure AI spend.
We govern how it's created.
Get in touch