FINOPS ECOSYSTEM · BETTER TOGETHER

We make Apptio AI-aware.

Cloud FinOps platforms have solved infrastructure spend governance. AI introduces a new, ungoverned layer — human-assigned seat capacity — that infrastructure tools aren’t built to cover. PromptKing extends FinOps into that layer and feeds the intelligence back via FOCUS 1.4 so your CFO sees the complete picture in one place.

"Cloud FinOps platforms like Apptio have solved infrastructure spend governance. PromptKing extends FinOps into the AI seat layer — and feeds that intelligence into Apptio."

The positioning sentence that eliminates every "how does this relate to our existing stack?" objection

THE DIAGRAM

FinOps Extended to AI
🔷Apptio / Existing FinOps

Owns

Cloud infrastructure (AWS / Azure / GCP)Resource-based cost model
GPU clusters and compute tiersInfrastructure abstraction
TBM taxonomy and IT cost standardsEnterprise cost framework
Cloud reservations and savings plansCommitment optimization
Whole-of-IT CFO rollupsBoard-level IT finance
FinOps Foundation alignmentInform → Optimize → Operate

FOCUS 1.4 export

AI seat cost + ROI signals

No custom ETL required

👑PromptKing

Owns

AI seat-level economicsHuman behaviour ≠ infrastructure
Plan tier rightsizingNot taggable in TBM taxonomy
Ghost seat detectionSubscription layer, not infra layer
ROI per human seatOutside TBM scope — persona-native
Cross-vendor persona classificationBuilder / Analyst / Automator / Ghost
Agentic billing riskJune 15 programmatic split — live now

PromptKing extends existing FinOps investments — it doesn't replace them. Clean, non-overlapping territory. Complementary by design.

WHY THERE IS NO OVERLAP

Apptio's data model is resource-based. PromptKing's is human-based.

Apptio's entire architecture is built around infrastructure resources — EC2 instances, GPU clusters, storage tiers. A Claude Max 5× seat is not a resource. It is a human behaviour pattern attached to a subscription. TBM taxonomy has no concept of "this person is a ghost." That structural difference is why PromptKing and Apptio are additive, not competitive.

🔷 Traditional FinOps (Apptio)

👑 PromptKing

Resource-based cost (EC2, GPU)
Human-based cost (seat)
Tag-based cost allocation
Identity + behaviour-based allocation
Infrastructure efficiency
Productivity efficiency
Infra reservations and commitments
Plan tier rightsizing and ghost seat recovery
Cloud vendor billing APIs
AI subscription APIs + CSV imports
TBM taxonomy — defined standard
Persona classification — new category

INTEGRATION PARTNERS

PromptKing feeds every FinOps stack you already use

🔷Apptio / IBM Cloudability
Primary integration target
FOCUS 1.4 export live

PromptKing exports AI seat cost data in FOCUS 1.4 format. Apptio ingests it natively alongside infrastructure spend — giving the CFO a complete picture of both cloud and AI human-capacity costs in one dashboard.

PromptKing adds

+ Ghost seat costs per department+ AI plan tier waste by team+ CPMO (cost per meaningful output)+ Agentic risk register
🟩ServiceNow ITAM
SAM/ITAM extension
Planned Q3 2026

PromptKing surfaces AI seat data into ServiceNow Software Asset Management — enabling procurement workflows, approval routing, and seat deprovisioning from within the tool IT teams already use.

PromptKing adds

+ AI seat licence inventory+ Ghost seat deprovisioning queue+ Plan tier change approvals+ Audit trail for compliance
💸Finout / CloudZero
Complementary layer
FOCUS 1.4 export live

Finout and CloudZero own the API token and infrastructure cost layer. PromptKing owns the subscription seat layer. Together they give the enterprise FinOps team complete coverage — infrastructure costs and human-capacity costs in one programme.

PromptKing adds

+ Subscription seat intelligence+ Per-user plan waste+ Cross-vendor seat map+ CFO persona report
🔵Microsoft 365 / Purview
Single-vendor gap filler
M365 connector live

Microsoft Purview covers M365 Copilot usage analytics — but single-vendor only. PromptKing adds the cross-vendor layer: comparing M365 Copilot seat utilisation against Claude, GitHub Copilot, and Gemini in the same view.

PromptKing adds

+ Cross-vendor seat comparison+ GitHub Copilot AI Credits risk+ Gemini vs M365 Copilot SUR+ Unified CFO report across all vendors
📋Zylo / Torii
SaaS management extension
CSV import live

Zylo and Torii manage SaaS licence procurement. PromptKing adds the behavioural intelligence layer — not just "how many seats are provisioned" but "how are they being used, what persona pattern emerges, and which ones should be downgraded."

PromptKing adds

+ Seat behaviour classification+ Downgrade recommendations with confidence scores+ Persona-based utilisation analysis+ Cross-vendor identity mapping

THE DATADOG LESSON

How Datadog won without competing

Datadog never said "replace Splunk." They said "we make everything you already use better — in one place." PromptKing follows the same playbook in the AI FinOps category.

Principle🐶 Datadog👑 PromptKing
Complement, don't competeNever said "replace Splunk" — said "we make Splunk data richer"Never say "replace Apptio" — say "we make Apptio AI-aware"
Surface signals incumbents can'tCorrelated infrastructure metrics that no single tool could see aloneGhost seats, agentic risk, CPMO — AI seat signals infra tools aren’t built to detect
Feed value upstreamExported enriched data back into CloudWatch, Splunk, PagerDutyFOCUS 1.4 export feeds AI seat intelligence into Apptio, ServiceNow, Finout
Become operationally indispensableOnce you build dashboards in Datadog, you can't remove it without breaking workflowsOnce CFO reports come from PromptKing, removing it means losing the AI spend narrative

WHY THIS POSITIONING MATTERS

Complementary tools get acquired. Competing tools get displaced.

Standalone AI FinOps

$10M – $18M

Standalone category bet — higher GTM risk

Complementary extension

$15M – $25M

Mandatory addition to existing stacks

Embedded / OEM candidate

$25M – $50M+

Integrated into partner workflow — acquisition path

Strategic buyers pay more for adjacent inevitability than for competition. PromptKing extends what Apptio does — not what it competes with.

FOCUS 1.4 export is live today

Download your AI seat data in FOCUS 1.4 conformant CSV or JSON format. Load it directly into Apptio, Power BI, Tableau, or Snowflake — no custom ETL required. All 24 required FOCUS columns supported, plus 7 AI-specific extension columns.

Already using Apptio, ServiceNow, or Finout?

PromptKing slots in alongside your existing stack in a 14-day read-only pilot. No new infrastructure. No procurement conflict. Just the AI seat intelligence your stack is missing.