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IFO4 Research Division

IFO4 Research

Pioneering the Future of Technology Intelligence

Open specifications. Open standards. Open source.

PRISM spec updated — added 14 new AI cost dimensions3s ago
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Active Research

Research Initiatives

Open specifications and standards powering the next generation of technology intelligence.

Active

Universal Labeling Standard

Five-Dimension Identity Labeling

IFO4's five-dimension identity labeling system using the ifo4.<group>.<name> namespace for cross-platform resource identification.

Draft

AI Cost Normalization

Cross-Provider AI/ML Cost Standards

Standards for normalizing AI/ML costs across providers — OpenAI, Anthropic, Google, AWS Bedrock — into a unified cost model.

Active

Green Cloud Index

Cloud Region Sustainability Scoring

Methodology for scoring cloud region sustainability based on energy source, PUE, carbon intensity, and renewable commitments.

Draft

FinOps Maturity Model v10

Next-Gen Maturity Framework

IFO4's next-generation maturity framework that goes beyond crawl-walk-run with 10 capability dimensions and continuous scoring.

Flagship Specification

PRISM: The Complete Data Standard

Where FOCUS stops at cloud billing, PRISM covers the entire technology value chain.

FOCUS Spec
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columns
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PRISM Spec
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dimensions
12 Datasets · 0 Total Columns
Cost & Billing28
Resource Inventory22
Usage & Utilization19
Commitment Coverage16
Tag & Label Governance14
AI/ML Cost Intelligence21
Carbon & Sustainability15
Unit Economics18
Shadow IT & SaaS13
Developer Attribution16
Anomaly Detection12
Vendor Intelligence17

PRISM fills every gap FOCUS leaves

Six critical domains with zero coverage in FOCUS today

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AI/ML Costs
Token-level cost tracking, model comparison, inference vs training
🌿
Carbon Tracking
Region carbon intensity, workload emissions, green scheduling
💰
Unit Economics
Cost-per-customer, per-feature, per-transaction attribution
👻
Shadow IT
Unauthorized SaaS, unmanaged subscriptions, duplicate tools
👨‍💻
Developer Attribution
Team-level spend, service ownership, deploy-to-cost mapping
⚠️
Anomaly Detection
Cost spike classification, root cause signals, blast radius
Knowledge Base

Publications & Papers

Research papers and frameworks from the IFO4 Research team.

IFO4-R-001 · March 2026

The True Cost of AI: A Framework for LLM Economics

A comprehensive framework for understanding and modeling the total cost of large language model operations across inference, training, and fine-tuning workloads.

AI/MLCost ModelingLLM
IFO4-R-002 · February 2026

Beyond Cloud: Multi-Source Technology Cost Intelligence

Why cloud-only FinOps is dead. A framework for unified cost intelligence spanning cloud, SaaS, AI, on-prem, and developer tooling.

Multi-CloudFinOpsStrategy
IFO4-R-003 · January 2026

Carbon-Aware Infrastructure: From Metrics to Action

Moving beyond carbon dashboards to actionable sustainability. Methodology for carbon-aware scheduling, region selection, and workload optimization.

SustainabilityGreen CloudCarbon
IFO4-R-004 · December 2025

Shadow IT in the AI Era: Detection and Governance

How the explosion of AI tools has created a new wave of shadow IT. Detection methodologies, governance frameworks, and cost recapture strategies.

Shadow ITGovernanceAI
Open Source

PRISM is open source.
Contribute to the specification.

Join the community of practitioners, engineers, and researchers shaping the future of technology cost intelligence.

Submit a PR
Propose new dimensions or datasets
Open an Issue
Report gaps or suggest improvements
Join Discussions
Shape the specification roadmap
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Explore the PRISM Specification

The most comprehensive open standard for technology cost and value data. Dive into the specification.

AUTONOMOUS INTELLIGENCE

AgentaaS Operating System

The autonomous agent orchestration layer powering every IFO4 intelligence platform. Not a chatbot — an operating system for agents that observe, reason, decide, and act on financial operations data in real-time.

👁️
OBSERVE
Ingest billing, usage, carbon, AI data from 14+ sources in real-time
CSV, JSON, API, PDF
🧠
REASON
Multi-model inference with context-aware cost intelligence and anomaly detection
Pattern Recognition
DECIDE
Autonomous decision trees with confidence scoring, risk gates, and human-in-the-loop
Confidence > 95%
🚀
ACT
Execute optimizations, generate reports, alert stakeholders, trigger pipelines
Auto-Execute
📈
LEARN
Self-improving feedback loops with outcome verification and model retraining
Continuous

Active Agent Classes

Cost Sentinels
ALWAYS ON

Real-time anomaly detection agents that monitor every billing stream 24/7. Detect spend spikes, unused resources, and budget breaches before they become problems.

Anomaly DetectionSpend AlertsBudget GuardrailsBlast Radius Analysis
Optimization Agents
AUTONOMOUS

Autonomous rightsizing, scheduling, and commitment management. These agents continuously identify savings opportunities and can execute approved actions automatically.

RightsizingSpot/PreemptibleCommitment MgmtScheduling
Compliance Watchers
100% COVERAGE

Policy enforcement agents that ensure tag governance, budget compliance, and regulatory adherence across every resource in every cloud account.

Tag GovernancePolicy EnforcementCSRD ComplianceBudget Gates
Intelligence Analysts
AI-POWERED

AI-powered trend analysis, forecasting, and executive briefing generation. These agents turn raw data into actionable intelligence for every stakeholder.

Trend AnalysisForecastingExecutive BriefsNL Queries

Architecture Specifications

Agent Runtime
OrchestrationMulti-Agent DAG
MemoryPersistent Vector Store
Tool-UseDynamic Chain
ConcurrencyParallel Execution
FallbackGraceful Degradation
Intelligence Layer
ModelsMulti-Provider LLM
Context200K Token Window
Inference<2s Latency
ConfidenceCalibrated Scoring
LearningRLHF + Outcome
Integration Layer
Sources14+ Data Connectors
OutputCSV, JSON, PDF, API
WebhooksReal-time Events
AuthSSO + RBAC
ScaleHorizontal Auto
IFO4 Research Division · PRISM Specification v1.0.0 · Open Standards for Technology Intelligence