What is PromptKing?

PromptKing is an AI FinOps platform

PromptKing tracks, optimises, and governs enterprise AI subscription spend across Claude, GitHub Copilot, Google Gemini, AWS Bedrock, and IBM Watsonx — in a single dashboard. It is purpose-built AI FinOps for the seat-level, subscription-native spend that infrastructure cost tools aren't built to see.

  • Seat-level utilisation tracking across all connected AI vendors
  • Ghost seat detection and rightsizing recommendations
  • Real-time vendor health monitoring with failover intelligence
  • EU AI Act Annex III classification and audit trail
  • CFO, COO, and CRO executive reports with PDF export
  • Data confidence grades (A–D) on every metric — authoritative, estimated, and manual sources labeled explicitly

As an AI FinOps platform, PromptKing applies financial operations discipline to AI seat licences, token consumption, and compliance risk — giving finance, IT, and the board one system to see, govern, and recover AI spend. AI FinOps is the category; PromptKing is the subscription-native control layer within it.

COMPETITIVE POSITIONING · MAY 2026

Amnic tracks your infra. Vantage tracks your tokens. PromptKing tracks the people.

Amnic ranks #1 for cloud infrastructure FinOps — and rightfully so. But their AI module covers Bedrock only and has no concept of ghost seats or subscription plan tiers. PromptKing answers the question infra tools aren't built to answer: which of your AI subscription seats are wasting budget right now.

$210,000

recoverable per year for a 500-seat org at 35% ghost rate

Industry average ghost rate: 35%. The 90-day target: 0% ghost rate.

90 sec

time to flag a ghost seat after connector sync

0 clicks

to generate the CFO Red Report

THE CONFIDENCE LAYER

Connected is not the same as trustworthy.

Every AI FinOps platform shows a green “Connected” badge when an API key validates. That badge tells you the pipe works. It tells you nothing about what kind of truth flows through it. Anthropic exposes authoritative billing. Google Gemini exposes behavioral intelligence — but not per-user billing. IBM Watsonx exposes estimated economics from token counts. PromptKing grades every connector A through D and propagates that grade into every derived metric — so a CFO always knows how much to trust the number they're looking at.

Grade A–D

every connector rated by data quality, not just connectivity

5 conditions

for board-ready certification on any metric

48h

freshness threshold — stale data labeled automatically

Six questions your current AI FinOps tool probably cannot answer:

  • Which of your Gemini seats hasn't used AI in 28 days?
  • What percentage of this OCR number is invoice-grade vs estimated?
  • When did your Watsonx connector last validate its connection health?
  • Which metric on this report is based on manual inputs vs authoritative billing?
  • What is the confidence grade of the total AI spend you're taking to the board?
  • If one connector goes stale, which downstream metrics degrade automatically?

Vendors expose cost. PromptKing exposes confidence.

ZERO PROMPT VISIBILITY

Why session-level intelligence is the right abstraction

The question your legal team will ask about any AI governance platform: “Does it need to see our prompts to work?”

Prompt-level attribution is granular but privacy-invasive. It requires reading prompt content to tag costs — which means storing, processing, and potentially exposing the intellectual property inside your prompts.

Session-level attribution maps cost and behavior to business workflows: a session is a use case, a task, a decision. It is the unit your compliance team needs for Article 26 evidence. It is the unit your CFO needs for ROI reporting. It is the unit your IT Director needs for rightsizing decisions.

PromptKing measures AI performance without ever reading AI content. That is not a trade-off. It is a new category.

STACK POSITIONING

How PromptKing fits your existing FinOps and governance stack

PromptKing is not a replacement for Purview, Vantage, Cloudability, or LangSmith. It is a layer those tools cannot reach.

Microsoft Purview governs Microsoft AI. PromptKing governs everything else.

Vantage and Cloudability manage cloud infrastructure spend. PromptKing manages AI subscription intelligence. Both export FOCUS 1.4 conformant data — they are designed to coexist.

LangSmith and OpenTelemetry provide developer observability at the prompt level. PromptKing provides executive and compliance intelligence at the session and outcome level.

The question that positions PromptKing correctly in every enterprise conversation: “What governs the AI tools that Purview, Vantage, and LangSmith cannot see?”

That is where PromptKing operates.

Read: Purview governs your Microsoft AI. PromptKing governs everything else →

THE NORMALIZATION LAYER

SaaS trackers know what you bought. Amnic knows what your infra costs. PromptKing knows how efficiently every individual seat plan is performing.

Anthropic bills per million tokens. GitHub Copilot bills in AI Credits with a 27× model multiplier. IBM Watsonx bills in Resource Units. Microsoft bills flat per seat. None of them speak the same language. PromptKing normalizes all four into a single per-seat-per-day USD metric — the only number that tells you whether your AI spend is working or wasting.

4 billing architectures

unified to 1 metric

27×

GitHub Copilot Opus 4.7 multiplier — tracked

June 15

programmatic billing split — monitored live

Read the token normalization methodology →

How we compare

The AI subscription layer Amnic, Vantage, and Finout don't have

Amnic owns the cloud infra budget. PromptKing owns the AI subscription budget. Different line items, different buyer — and often the same enterprise needs both.

CapabilityPromptKingAmnicRanked #1 cloud FinOpsVantageFinout
What it tracksAI subscription seats — per user, per vendor, per plan tierCloud infra spend — AWS/Azure/GCP/K8s (AI module: Bedrock only, others rolling out)Different laneAPI token costs — engineer-queryable via MCPAggregated enterprise bill — virtual tagging layer
Ghost Seat detectionNative — flags inactive licences within 90 seconds of syncNot available — no subscription seat identity layerNot available — no user identity layerNot available — cost aggregation only
AI subscription plan intelligenceClaude Max 5× vs Pro, GitHub Copilot Business vs Enterprise — tracked nativelyNot available — infra-native, no per-seat subscription tier trackingNot available — API billing only, no plan tier dataNot available — no seat-level plans
June 2026 billing change alertsGitHub Credits 27× multiplier + Anthropic June 15 split — native and pre-wiredNot available — billing event coverage limited to cloud infra changesCost anomaly alerts — not pre-wired to vendor billing eventsAnomaly detection inbox — reactive, not proactive
AI unit economics (cost per task)Cost per active seat per day, cost efficiency score per team, recoverable budget by deptPartial — cost per inference for infra workloads; no per-seat subscription analyticsInfra-focusedNot availableNot available
RemediationOne-click Accept in the viewport — audit log auto-generatedAI agents suggest actions on infra resources — no AI subscription remediationAlert delivered — action taken elsewhereAlert inbox — no in-product action layer
xAI Grok — SuperGrok seat tracking + tool call costSuperGrok, Grok Business, Management API billing — X Search tool calls tracked separately from tokensNot available — no Grok subscription or tool-call cost layerNot available — API tokens only, no SuperGrok seat intelligenceNot available — no xAI Grok seat-level plans or tool-call line items
Vendor coverageClaude, Copilot, GitHub Copilot, Gemini, Bedrock, Watsonx, xAI GrokAWS, Azure, GCP, Oracle, Alibaba, K8s — AI: Bedrock (OpenAI/Anthropic pending)OpenAI, Anthropic API, Databricks — no subscription plansOpenAI, Anthropic, AWS, Vertex — no seat-level plans
EU AI Act Annex III classificationAnnex III auto-classifier + audit-ready PDF — Aug 2 deadlineNot available — zero regulatory intelligenceNot availableNot available
Time to first insightUnder 48 hours — connect one vendor, see your data immediately14-day audit, read-only — scoped to cloud infra, not AI subscription seats2–5 days — API key setup + dashboard config4–8 weeks — enterprise procurement + onboarding
FinOps Foundation — Executive Strategy Alignment2026 FrameworkNative — Red Report, Customer Health Scoring, C-suite exportPartial — strong for cloud infra, no AI subscription governance layerPartial — cost visibility only, no business outcome mappingPartial — MegaBill aggregation, no executive narrative layer
Pricing — AI-specific featuresContact us for pricing — full AI subscription intelligence includedSeparate AI module pricing — cloud infra focus, limited AI subscription coverageAPI token visibility only — no AI subscription tier coverage~1% of spend — cost scales against you as AI budgets grow
Sales cycle14-day self-serve pilot → same-week closeDemo required — custom enterprise contract scoped to cloud spend2–4 weeks demo + procurement6–12 weeks enterprise procurement

The Infra Intelligence Layer (Amnic)

They track what your infrastructure costs.

Amnic's Radix engine links every deploy to its downstream cost impact. Powerful for cloud infra teams. Their AI Token Management module currently covers Bedrock only — OpenAI and Anthropic are still rolling out. Zero ghost seat detection, zero subscription plan tier tracking.

PromptKing is the subscription-native layer alongside it.

The Engineering Layer (Vantage)

They track what your API calls cost.

Vantage's MCP Server lets engineers query token costs from their IDE. Powerful for API spend visibility. Zero coverage of who holds the licences, who's active, and who left the company three months ago.

PromptKing closes the people gap.

The FinOps Foundation Mandate

The 2026 framework requires this.

The FinOps Foundation's updated framework mandates 'Executive Strategy Alignment' — connecting AI asset tracking to business outcomes and C-suite risk profiles. Our Red Report, Health Scoring, and EU AI Act module fulfill this natively.

Read the FinOps Foundation framework →

What the first 60 days are designed to deliver

Modeled on our demo environment:

8 vendors, 1 dashboard — connected in an afternoon.
Found $420/month in recoverable budget in the first sync.
CFO sees the Red Report Monday morning. Calls by noon.
Design target: ghost rate to under 5% in 60 days.

Start with one vendor. See your data in 48 hours.

No enterprise contract. No 6-week onboarding. Connect your Anthropic Console or Microsoft Admin Centre and your first insight is live before your next standup.

SOC2 Type II in progress (Q4 2026) · PIPEDA compliant · Canadian data residency · Every engagement starts with a conversation

Already using Apptio, ServiceNow, or Finout?

PromptKing integrates with your existing FinOps stack — it doesn't replace it.

FOCUS 1.4 export live · No custom ETL required

View ecosystem integration →