Content Intelligence and Agent Controlsfor Enterprise AI

Anatom makes your unstructured content intelligent before any LLM sees it — and controls what your agents are allowed to do with it.

Powered by CQM™ (Content Quality Management).Deterministic content quality, tier-bound agent controls.

Every token your AI burns has a carbon cost. We make it visible. World-first carbon-aware AI control plane · Patent-filed · UN SDG 13 aligned.

Request DemoSee Architecture →

Anatom intercepts what your agent would miss.See live demo →

Where Anatom Sits

Enterprise Content + AI Agents

Policies, PDFs, tickets, chats · LLM agents acting on your behalf

ANATOM

Multi-tier content certification, agent action controls, signed provenance — powered by CQM™. Agents only act on certified data.

Decision-Grade AI

Cited answers, controlled actions, audit-ready outputs

Retrieval Alone Is Not a Control Boundary.

Eight failure modes — split across two control gaps your stack already has.

CONTENT GAP — WHAT THE AGENT READS

  • Outdated policies influence decisions
  • Mixed rules produce incorrect outcomes
  • Agents reuse incorrect fragments
  • No traceability of what influenced the answer

AGENT GAP — WHAT THE AGENT DOES

  • LLMs act as probabilistic judges
  • Agents act outside approved tier authority
  • Agent instructions drift silently from approved baselines
  • No signed audit of what agents wrote, where, or why

What Anatom Does

Scores Content Semantically

Intent, entities, recency, eligibility signals — powered by CQM™

Tier-Certified Content

Anatom's proprietary tier methodology gates content before any agent acts on it.

Controls Agent Actions

Tier-bound enforcement at runtime, deterministic rules, drift detection

Audits Every Decision

Provenance, lineage, signed audit trail — across content and actions

How Anatom Works

Two parallel pipelines — content quality on one plane, agent control on the other. Each plane is deterministic, gated, and audited end-to-end.

CONTENT PIPELINE

FILTER → ASSEMBLE → CONTROL

1
FILTERScore and suppress low-quality context before retrieval.
2
ASSEMBLEConstruct evidence sets that are grounded and consistent.
3
CONTROLApply thresholds and policy before generation.

AGENT PIPELINE

REGISTER → GATE → ENFORCE → AUDIT

1
REGISTERCatalog every agent with owner, tier, controls, allowed actions.
2
GATECheck content quality, identity, and drift before any action.
3
ENFORCEAllow, pause, deny, or kill at runtime — deterministically.
4
AUDITSign every decision into a queryable trail.

Result: fewer hallucinations, tier-bound agent actions, regulator-ready audit trail — without changing your LLM.

CLAIM-DENIAL INTELLIGENCE · REAL DEMO OUTPUT

Same question. A $12,725 difference.

"Show me every pre-existing condition denial" — Regular Vector RAG Layer vs Anatom CQM Layer

REGULAR VECTOR RAG LAYER
4pre-existing denials found
  • ⚠4 docs, no provenance or audit trail
  • ⚠1 likely hallucination — $18,750 claim absent from evidence
  • ⚠Escalation missed — duplicate doc wasted a slot
  • ⚠No names, policies, or regions
PLATINUM · CQM Layer
9denials across 8 customers
  • ✓$24,175 confirmed exposure, fully traced
  • ✓20 verified docs with full provenance
  • ✓Double-denial pattern + superseded policy flagged
  • ✓6 CCTS responses 170–234 days overdue · 37% churn
$12,725 in denials invisible to a Regular Vector RAG Layer — including one customer denied twice for the same condition after winning his first appeal. The Anatom CQM Layer is the difference between 4 tickets closed and a pattern caught.

Does your data layer surface this?

Or is your AI closing 4 of 9 denials and calling the job done?

Request DemoSee how the gate works →

Deployment Options

Private VPC / Hybrid

Deploy within your cloud boundary for full control.

Managed Runtime

Operate as a managed layer without changing your stack.

Works with any LLM and any vector database. No model changes required.

Contact

Tell us what you're building. We'll show how Anatom fits your stack.

Contact email: theteam@anatom.ai

Anatom is built and owned by ASQEN Inc. — Adaptive Systems for Quality, Sustainability & Enterprise Intelligence.