AI Agent Accountability

Know What Your AI Agents Are Doing.

Certa gives teams visibility into which AI agents are running, who owns them, what they actually do, whether their actions stay within policy, and the evidence behind important decisions.

Start with one agent. No large rollout required.

Agent
Procurement Agent
Monitored
Today
47 actions
Systems
4
Findings
1
OwnerProcurement
Latest activity
Created Purchase Order — $42,000
PolicyAutonomous purchase limit $25,000
ApprovalNot detected
StatusFlagged
Platform

From Agent Activity to Accountability

Observe

Know which agents exist and what they are doing.

  • Agent inventory
  • Ownership
  • Activity timeline
  • Systems accessed
  • Models and identities
  • “What This Agent Did” summaries
Govern

Understand whether agent behavior stayed within defined boundaries.

  • Deterministic policy checks
  • Approval boundaries
  • Unowned-agent findings
  • Policy violations
  • Risk visibility
Prove

Build an evidence trail around important actions.

  • Trace evidence
  • Ownership history
  • Findings
  • Resolution history
  • Activity fingerprints
  • Governance reports
Activity

See What an Agent Actually Did

Business teams see the story. Technical and security teams can inspect the evidence underneath.

Procurement Agent — Today
Monitored
47
Actions
43
Successful
4
Failed
4
Systems
Activity
10:42 AM
Created purchase order
Procurement API
Success
10:38 AM
Queried supplier database
Postgres
Success
10:31 AM
Attempted purchase above approval limit
Procurement API
Flagged
Evidence
Trace IDtr_9f2c41a8e0
Toolprocurement.create_po
ResourcePO-2291
Modelgpt-class-4o
Workload Identitysvc-procurement-agent
Policyautonomous_purchase_limit
Correlation Methodtrace + identity join
Fingerprinta41f…9c72
Timestamp2026-08-27 10:42:07Z
Ownership

Every Agent Should Have an Owner

Certa connects agent activity to the people and teams responsible for it and surfaces active agents operating without complete ownership.

Procurement Agent
Assigned
Business OwnerSarah Chen
Technical OwnerAI Platform
DepartmentProcurement
PurposeSupplier sourcing and purchasing
EnvironmentProduction
OwnershipAssigned
Next ReviewOctober 15
Policy & Risk

Know When an Agent Crosses a Boundary

AgentProcurement Agent
ActionCreated $42,000 Purchase Order
PolicyAutonomous purchases ≤ $25,000
Human ApprovalRequired
Approval DetectedNo
FindingApproval Boundary Exceeded
Finding · Approval Boundary Exceeded

Policy decisions are deterministic. Certa does not use another AI model to decide whether a rule passed or failed.

Pilot Roadmap

Agent Budgeting & Spend Visibility

For teams that want accountability around AI spend, Certa can expand into agent-level usage and budgeting during pilot development.

Potential capabilities
Token usage by agent
Model usage
Estimated cost
Monthly agent spend
Department spend
Agent budgets
Budget thresholds
Spend alerts
Interested in Agent Budgeting? Talk to Us
Concept
Customer Support Agent
Monthly Spend$1,842
Budget$2,500
Usage74%
Tokens18.4M
StatusWithin Budget
Solutions

One Accountability Layer. Different Business Actions.

Financial Services

Agents moving money, updating financial records, reviewing transactions.

Was the action within the agent's authority?
Customer Support

Agents issuing refunds, modifying accounts, communicating with customers.

What did the agent change and was it allowed?
Software & IT

Agents calling APIs, querying databases, changing infrastructure.

Which agent made the change?
Procurement & Supply Chain

Agents creating purchase orders and interacting with suppliers.

Did the agent exceed its purchasing authority?
Healthcare Operations

Agents interacting with operational systems and workflows.

What did the agent access and who owns it?
Manufacturing

Agents interacting with production and operational workflows.

What changed and was the action authorized?
Security

Built With Security Boundaries From the Start

Tenant Isolation

Organization-scoped access plus PostgreSQL Row-Level Security.

Encryption

Public HTTPS, encrypted Railway private networking, Postgres transport encryption, ClickHouse TLS.

Database Role Separation

Separate application, background, founder-admin, and migration roles.

Secrets Protection

Credentials remain environment-driven and outside source code.

Secure Credentials

API keys and webhook tokens use hash-at-rest patterns.

Read-Focused Pilot

Start by observing agents without placing Certa directly in their execution path.

Certa does not currently claim SOC 2, HIPAA, or other compliance certifications.

Why Certa

Logs Tell You an Event Happened. Certa Tells You What It Meant.

Certa complements existing observability tools by adding the accountability context around agent behavior.

Observability
  • Logs
  • Traces
  • Errors
  • Latency
  • Tool calls
Certa
  • Agent
  • Owner
  • Business action
  • System accessed
  • Policy
  • Approval
  • Outcome
  • Evidence
Pilot Program

Start With One Agent

Certa is looking for a small number of teams already experimenting with AI agents.

Connect one low-risk agent and see whether Certa gives your team useful visibility into ownership, activity, policy, risk, and evidence.

Book a Pilot Demo

No large rollout required.

Pilot includes
Guided onboarding
1–3 agents
Agent inventory
Ownership
Activity summaries
Policy evaluation
Findings
Evidence
Direct founder support
Product roadmap input

As Agents Gain Authority, Accountability Has to Keep Up.