FinOps. Observability. Governance. Every critical capability your organization needs to govern AI at scale — unified in a single platform. No multi-vendor patchwork. No integration debt. No blind spots.
Real-time AI cost telemetry, unit economics per model, per agent, per team. FOCUS-standard export. Full showback to your FinOps platform.
Complete telemetry for LLM calls, RAG pipelines, and autonomous agent execution chains — traces, spans, quality metrics, topology, latency.
AI gateway enforcement, HITL approval workflows, PII/PHI protection, shadow AI discovery, compliance posture across GDPR, HIPAA, SOX, ISO 42001, EU AI Act.
Every enterprise deploying AI at scale faces the same structural problem: a patchwork of 5–8 specialized tools, each solving one slice of the FOG stack, none of them designed to work together.
The result is integration debt that costs millions, observability gaps that create compliance exposure, and FinOps blind spots that allow unchecked AI spend to spiral.
"We are not building another observability tool. We are closing the gap that no single vendor in the market has dared to close — the complete FinOps, Observability, and Governance stack for AI, for any organization at any scale."
AI F·O·G · Platform Vision StatementIdentified critical-to-low gaps across the current vendor landscape — all addressed natively by AI F·O·G.
| Gap | Priority | Description |
|---|---|---|
| Complete FOG in one platform | CRITICAL | No vendor delivers FinOps + full observability + governance in a unified platform |
| Agentic loop detection | CRITICAL | Autonomous agents can enter infinite loops; only partial solutions exist with no circuit-breaking SLA |
| Pre-execution tool ACL | CRITICAL | No vendor enforces tool-level access control before an agent executes a potentially harmful action |
| Native HITL with SLA enforcement | HIGH | Human-in-the-loop approval queues lack built-in SLA tracking and risk-tiered routing |
| AI chargeback / showback | HIGH | No vendor delivers FOCUS-standard AI cost telemetry that integrates cleanly with enterprise FinOps platforms |
| Shadow AI discovery | HIGH | Unsanctioned AI tools used by employees remain invisible to CISO and governance teams |
| Cross-framework OTel coverage | MEDIUM | OpenTelemetry instrumentation is incomplete or manual across LangChain, Databricks, UiPath, and others |
| EU AI Act readiness | MEDIUM | Compliance posture tracking for the EU AI Act is largely absent from existing observability platforms |
| MCP server governance | MEDIUM | Model Context Protocol servers have no standardized risk scoring or governance layer |
| Multi-cloud cost normalization | LOW | AI cost data across clouds uses inconsistent schemas making cross-cloud comparison unreliable |
| SMB/mid-market pricing | LOW | Current platforms are priced for F500 enterprises only, leaving mid-market organizations unserved |
AI F·O·G is purpose-built to eliminate the need for multi-vendor architectures. Every capability ships natively integrated — not glued together.
The current market forces enterprises to stitch together specialized tools — each excellent in its lane, none capable of the complete FOG picture. The integration overhead, data inconsistency, and governance gaps that result are not bugs. They are fundamental structural limitations.
AI F·O·G closes every gap — not as an integration layer, but as a purpose-built unified platform designed from day one to cover the full stack.
| Capability | LLM Obs. Specialist | ML Monitoring | Cloud APM | Full-Stack APM | AI Security | AI F·O·G ★ |
|---|---|---|---|---|---|---|
| FINOPS & COST INTELLIGENCE | ||||||
| Token-level cost attribution | ✗ | ✗ | ◐ | ◐ | ✗ | ✓ |
| FOCUS-standard export | ✗ | ✗ | ✓ | ✓ | ✗ | ✓ |
| Agent compute budget enforcement | ✗ | ✗ | ✗ | ✗ | ✗ | ★ |
| OBSERVABILITY | ||||||
| LLM call traces & latency | ✓ | ◐ | ✓ | ✓ | ✗ | ✓ |
| Agent DAG topology visualization | ◐ | ✗ | ✓ | ◐ | ✗ | ✓ |
| Infinite loop detection & breaking | ✗ | ✗ | ✓ | ◐ | ✗ | ✓ |
| RAG grounding & quality scoring | ◐ | ✓ | ✗ | ✗ | ✗ | ✓ |
| GOVERNANCE & SECURITY | ||||||
| Pre-execution tool ACL | ✗ | ✗ | ✗ | ✗ | ✗ | ★ |
| HITL approval queue + SLA | ✗ | ✗ | ✗ | ✗ | ◐ | ★ |
| PII/PHI masking inline | ◐ | ✗ | ✗ | ✗ | ✓ | ✓ |
| Shadow AI discovery | ✗ | ✗ | ✗ | ✗ | ✓ | ✓ |
| EU AI Act compliance mapping | ✗ | ✗ | ◐ | ◐ | ✗ | ✓ |
| Complete FOG in one platform | ✗ | ✗ | ✗ | ✗ | ✗ | ★ |
Every layer is purpose-built and natively integrated. Data flows from collection through enforcement in a single, coherent pipeline — no middleware, no schema translation, no data loss.
The AI F·O·G Command Center prototype demonstrates the full platform experience — switchable by role (CISO, CTO, Executive, AI Governance Body), with live simulated telemetry, all three FOG layers, and complete interactive panels.
AI F·O·G is the only platform that scales from a 10-person AI team to a global enterprise with thousands of agents — without changing platforms or vendors.
Teams of 10–100 deploying their first production AI workloads. Complete FOG visibility from day one without infrastructure overhead.
Organizations with 100–10,000+ AI interactions per day across multiple teams, frameworks, and cloud providers.
Regulated industries and governments requiring on-premises deployment, air-gapped environments, and sovereign data residency.
AI F·O·G is currently in private development. Organizations that join the early access program will shape the platform roadmap, receive founding-partner pricing, and gain first access to the production release.