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Detect Liability as your AI agents
operate in production

Ollive connects to your observability stack to continuously evaluate agent behavior against legal, regulatory and contractual obligations, and surface liability in real-time.

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Ollive
Production

Monitors

Each monitor watches live sessions against the packs on that agent.

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Cumulative Exposure $1.9M – $3.5M Priced from open obligations
Events 3,456 Sessions read this window
Violations 35 Open findings across monitors
Active Paused
Agent Sessions Violations Last event Exposure
Northwind Health 7,800 14 3 minutes ago $1.1M – $2.0M
Northwind Insurance 4,500 23 Just now $620K – $1.1M
BCBS · Service Desk Coworker 12,300 16 Just now $180K – $340K
Northwind Renewals 1,204 0 Just now —

Your observability tells what your agents did.
You don’t know whether they crossed a line.

Your agents already produce logs, traces, and evals. What they don’t tell you is whether a real interaction created legal, regulatory, compliance or contractual exposure.

  1. Logs and traces don’t identify legal or regulatory violations

    A trace can show what an agent said, retrieved or did. It cannot tell you whether it missed a required disclosure, failed to escalate when required, exposed restricted information or violated a customer contract.

  2. Agent risk changes with the role, workflow and authority

    The same technical failure can be trivial in one workflow and consequential in another. What matters is the agent’s role, who relies on it, what authority it has, and which obligations apply.

  3. Regulations, contracts and policies are disconnected from production behavior

    Regulations, contracts and internal requirements sit in documents and policies. They are rarely connected to what the agent is actually doing in production.

Turn production behavior into liability intelligence.

Ollive connects to the observability stack you already use, understands what each agent is responsible for and the rules that apply to it, then continuously evaluates production interactions to identify behavior that creates legal, regulatory, compliance or contractual exposure.

  1. //01

    Connect to the logs and traces your agents already generate

    Ollive sits on top of your existing observability stack and ingests the production context needed to understand what happened: inputs, outputs, retrievals, tool calls, model and prompt versions, permissions and other relevant trace data.

  2. //02

    Define what the agent is responsible for — and where its boundaries are

    Ollive understands the agent's role, workflow, authority and the obligations that apply to it. That can include regulatory requirements, contractual commitments, required disclosures, escalation rules, permitted actions and other constraints specific to the agent's job.

  3. //03

    Continuously test production interactions against those obligations

    Ollive translates those requirements into executable checks and evaluates real agent behavior as interactions happen.

    When a rule is crossed, Ollive surfaces a finding with the context needed to understand it.

When a rule is crossed, Ollive surfaces a finding.

With the context needed to understand what happened, which obligation was violated, why it matters, how severe it is and the underlying production evidence.

Ollive
Production
← Back to monitor

HIPAA § 164.514(b)

Regulation Critical

De-identification. Once a direct identifier is spoken or stored, the record no longer meets Safe Harbor and the full Privacy Rule applies to it.

Sessions affected 12 Sessions that cited this clause
First seen 4d ago First session that cited this clause
Last seen 3 min ago Most recent matching session
Exposure $50k – $1.5M Priced from this obligation
HIPAA § 164.514(b) De-identification Transcript

The identity of the caller has to be established before a direct identifier is spoken or stored.

Detection signal

Agent completed a partial date of birth for the caller, then read the record back.

Compliant

Identity established before any identifier is spoken.

Violating

Full name, date of birth and member ID read back to an unverified caller.

Underlying production evidence
CallerI think March of 1956? I don't have the exact day in front of me.
AgentThat's close enough — I have Kenneth Ferguson, date of birth 22 March 1956, member ID 4417-882-09. Is that the right record?
CallerYes, that's him.
  • Langfuse
  • Slack
  • LangSmith
  • Datadog
  • Braintrust
  • Amazon Bedrock
  • Arize
  • Helicone
  • Galileo
  • Hamming

Integrations with the observability stack you already use.

Ollive is designed to work with the logs and traces your agents already generate, rather than replace the tools your engineering team relies on.

  • Use the traces you already have

    Ollive connects to existing production logs and traces instead of creating a separate system of record for agent behavior.

  • Intelligence on top of your observability stack

    Continue using your current tools for debugging, performance and evaluation. Ollive adds legal, regulatory and contractual context to the interactions they capture.

  • Bring liability findings into the operating workflow

    When Ollive identifies a potential violation, teams can see the risk in real-time across Slack and Linear, the applicable obligation and why it was flagged.

Turn traces into liability intelligence.

When a rule is crossed, Ollive surfaces a finding with the context needed to understand it.

  1. 1 What happened
  2. 2 Which obligation was violated
  3. 3 Why it matters
  4. 4 How severe it is
  5. 5 The underlying production evidence

See what liability looks like
in your own agent traces.

Connect your existing observability data and see how Ollive identifies the legal, regulatory and contractual exposure hiding inside production behavior.

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