Ingest
API, queue, file, database, and telemetry sources.
AI Usage Audit Ledger
Turn enterprise AI usage into a governed production resource.
AgentixAudit captures AI usage events from existing systems, attributes cost to real business owners, audits usage quality, and prepares executive review material without sitting in your production call chain.
No gateway replacement
Metadata first
Soft controls in v1
Passive-first
ingest from existing AI systems
Cost attribution
team, app, project, cost center
Usage audit
quality signals and anomaly review
Monthly review
findings, questions, decisions, actions
The platform
Not a cost dashboard. Not another AI gateway.
AgentixAudit is the governance layer for enterprises that already have, or are ready to establish, auditable AI usage entry points.
- Normalize request-level AI usage into a durable audit ledger.
- Attribute usage by team, application, project, model tier, and cost center.
- Identify downgrade, batching, template, repeated-task, and unknown-spend opportunities.
Architecture
Passive-first ingestion, adapter-assisted rollout.
The product is the audit ledger and review engine. Gateway adapters accelerate rollout, but AgentixAudit does not need to replace your production AI gateway.
Capabilities
Six modules, one governance loop.
Attribute
Map spend to teams, apps, projects, and cost centers.
Audit
Review quality signals, anomalies, and audit summaries.
Budget
Set soft thresholds and surface spend drift early.
Optimize
Find downgrade, batch, template, and repeated-task opportunities.
Review
Prepare monthly findings, questions, decisions, and actions.
Data maturity
Move from invoices to review-ready usage quality.
AgentixAudit helps teams progress from billing visibility toward request-level attribution, session context, audit signals, and operating review actions.
- L0-L1: vendor bills and seat-level usage visibility.
- L2-L3: request events, ownership, and session context.
- L4: quality signals, findings, actions, and monthly review discipline.
Privacy boundary
Governance-grade metadata, not full conversations by default.
AgentixAudit is designed around usage metadata, cost, attribution, structured audit summaries, risk flags, and optimization signals.
No prompt storage by default
Customer-controlled retention
Auditable access
Metadata-first ledger
Buyer workflows
Dashboards for operators. Review packs for executives.
Positioning boundaries
Built for governance, not surveillance.
No employee leaderboard
Default reporting is by team, application, project, cost center, task type, and model tier.
No forced gateway migration
Adapters accelerate rollout, but the product is the usage ledger and audit engine.
No automatic ROI claim
v1 identifies optimizable spend and review questions. Business impact remains a management input.
FAQ
Common buyer questions
Who is AgentixAudit for?
Enterprises with meaningful AI usage and request-level data, especially CIO, CFO, AI platform, FinOps, and audit teams.
Does it replace our AI gateway?
No. AgentixAudit is passive-first and can ingest from existing gateways, queues, files, databases, and telemetry.
Do you store prompts and responses?
Not by default. The system is designed around metadata, cost, attribution, and structured audit summaries.
What is the north-star metric?
Identified optimizable AI spend: costs that can be reviewed for downgrade, batching, templating, attribution, or anomaly handling.
AgentixAudit