Enterprise AI Agent Governance

Know what your
agents are doing.
Control it.

AgentWatch gives enterprise teams full visibility into AI agent behavior — trace every decision, control spend, enforce compliance, and catch problems before they become incidents.

EU AI Act Ready Self-Hostable 400+ Frameworks

Live Agent Trace Active

Parse Request 12ms

Tool Selection 8ms

Context Retrieval 23ms

LLM Reasoning 145ms

Output Validation —

2,847 Tokens

$0.09 Est. Cost

188ms Latency

Observability

Trace every step of every agent run

Most teams deploying AI agents have zero visibility into what's happening inside the black box. AgentWatch instruments your agents from day one and gives you full execution context — every LLM call, every tool invocation, every decision, every byte of context retrieved.

Full session replay with time-travel debugging
Recursive loop detection and token burn prevention
Automatic PII redaction in logs
OpenTelemetry-native, works with any framework

Session Trace — #a4f7c2

Parse Tool RAG LLM Check Output

12:04:01.234 tool_call: search_db — 3 records retrieved

12:04:01.389 llm: claude-3-5-sonnet — 1,247 output tokens

12:04:01.512 guardrail: brand_tone check triggered flag

12:04:01.634 output: validated, 2,047 chars, clean

Compliance

Audit trails your legal team will actually love

The EU AI Act, SOC 2, HIPAA, and a dozen other frameworks require you to prove what your agents did, why, and when. AgentWatch builds that proof automatically — every decision logged, every data access recorded, every anomaly flagged.

Timestamped decision logs with full context
Data lineage tracking across agent chains
Policy enforcement before actions execute
Exportable audit reports for regulators

Audit Log — Last 30 Days 1,284 entries

Today 09:12

Agent finance-triage-v3 accessed customer records — approved (role: finance)

CompliantHIPAA

Today 08:47

Agent support-escalate attempted PII extraction — blocked by policy rule #4

BlockedEU AI Act

Yesterday 17:23

Policy cost-cap-default triggered — agent spend capped at $0.50/session

CappedSpend Control

Yesterday 14:02

Composite score threshold breached — session #c9e3a1 escalated to human review

EscalatedGovernance

Spend Control

Stop agent spend from becoming a surprise bill

AI agents consume tokens unpredictably. One recursive loop, one verbose prompt, one runaway generation — and your monthly API bill doubles. AgentWatch tracks every token, flags anomalous patterns, and lets you set hard cost ceilings per agent or per session.

Per-agent, per-model, per-session cost tracking
Anomaly alerts before thresholds are breached
Automated spend caps and circuit breakers
Budget attribution by team, product, or customer

Monthly Spend — May 2026

support-agent

$1,824

data-enrichment

$1,203

code-reviewer

$782

customer-triage

$449

Total MTD $4,258 of $12,000 budget

! data-enrichment spending up 34% vs. last 30d avg — review

Every company deploying AI agents needs
the same thing: a control layer.
That's AgentWatch.

Self-hosted. Framework-agnostic. Compliance-ready.
Built for the teams putting agents into production.

■ Observe — every decision, every call, every token

■ Control — guardrails, caps, policy enforcement

■ Account — audit trails, compliance reports, data lineage

Know what youragents are doing. Control it.

Trace every step of every agent run

Audit trails your legal team will actually love

Stop agent spend from becoming a surprise bill

Every company deploying AI agents needs the same thing: a control layer. That's AgentWatch.

Know what your
agents are doing.
Control it.

Every company deploying AI agents needs
the same thing: a control layer.
That's AgentWatch.