ITSM for AI agents™

Trust AI agents with real work. Keep every action on the record.

Governance, security, and simulation come built in, so agents can take on the jobs you couldn’t hand them before. Private models trained on your best runs cut repeat-work costs by up to 60% at scale.

See how Record governs the work

Before, during, and after execution

Every agent action is authorized, contained, and checked.

Before execution, Record establishes who the agent acts for and what it may do. During it, policy holds at every tool call and inside the runtime. After it, detectors check the outcome, and anything that went wrong becomes an owned issue and a test for the next release.

Claims · finance operations · KYC

Move a claim from review to payment without losing control.

Connected systems
Claims systemData warehousePaymentsSlackTeams
claims-agentapprove claim #8412 → pay $18,400
IdentityThe agent and the person behind it
Policy & approvalAllowed, blocked, or asks a person
Access issuedFor this task only, never held
Call authorizedEvery tool and API call, checked
Outcome checkedDetectors flag what went wrong
Runs in Record RuntimeIts own sandbox, checked outside the agent
FilesProcessesNetwork

Allowed work runs. Anything else is stopped and opened as an owned issue.

ReceiptOn the record
claims-agentrc-8412
Acting forMaya Ortiz · Claims adjusterverified
ModelReasoning model, chosen for this taskrouted
PolicyRead the claim · allowed · Pay over $10,000 · needs a personheld
ApprovalDana Reyes, Claims lead · in Slackapproved
AccessPayments, for this payment only · never held by the agentissued
SignalAmount matches the approved claim · no issue openedchecked
KeptAdded to the claims-review scenariostest
OutcomePaid $18,400 · traced to Maya and Danarecorded
Why enterprise agents stall

The agent works. The operating model around it does not.

Enterprises do not need another pilot. They need an operating model that can give agents real authority without giving up ownership, runtime control, or proof.

Accountable identity

No identity means no safe production access.

Shared service accounts and borrowed user tokens cannot separate the agent, its sponsor, and the authority granted for one task.

Identity & accountability
Durable ownership

When an agent fails, there is no one to page.

Approvals, exceptions, incidents, and remediation cannot reliably return to an accountable business and technical owner.

Identity & accountability
Task-scoped access

Every permanent credential turns automation into permanent exposure.

Long-lived tokens and inherited employee permissions give an agent more authority and more time than the work requires.

Authority & policy
Executable policy

A prompt cannot approve a payment or enforce separation of duties.

Natural language intent cannot serve as a durable boundary for data, approvals, delegated authority, or consequential actions.

Authority & policy
Runtime enforcement

The most consequential actions happen beneath the gateway.

An agent can spawn processes, read files, invoke syscalls, and open network connections without producing a registered tool call.

Runtime & operations
Cost at scale

Frontier prices on routine work break the business case at scale.

Routine calls run on frontier models at frontier rates, budgets are checked after the invoice, and repeat work never moves to a cheaper model that meets the same bar.

Runtime & operations
What remains manual

Without an operating layer, your most valuable workflows stay manual.

The agent may be capable. The business still cannot authorize, control, or own the outcome.

Accounting closeVendor onboardingPartner operationsCustomer onboardingContract approvalsOrder and billing exceptions
The agent lifecycle

IT service management, for agents.

Follow one agent through a month-end close. Each step is a discipline your IT team already runs, rebuilt so every agent action carries identity, ownership, task-scoped authority, policy, approvals, spend, incidents, and evidence, and every close sets up a better next one.

  1. BuildAsset & configuration management for agents

    Describe the outcome. Record builds the agent.

    The job, its base, tools, and policy become one managed agent, registered with an accountable owner before it ever runs.

    New agentPriya Shah · Finance
    Describe the jobClose the books every month and flag variances over $5,000
    OwnerPriya Shah
    BaseClaude
    PolicyMonth-end close · v12
    Registered with an ownerBefore it ever runs
  2. Identity & accessAccess management for agents

    It needs to post to your accounting system.

    Record issues access for exactly that task, uses it on the agent’s behalf, and lets it expire. The agent never holds the credential.

    Access · NetSuiteclose-agent for Priya Shah
    RequestedPost journal entries17:58
    Issued to RecordAfter policy allowed it17:58
    ExpiredWhen the task ended18:02
    Never held by the agentIssued for this task only
  3. KnowledgeKnowledge management for agents

    It doesn’t start from scratch.

    It works from last quarter’s close, the chart of accounts, and past exceptions, each with its source, and only what Priya is allowed to see.

    Context for this closeFinance knowledge
    Q3 close playbookfinance · section 4source
    Chart of accounts142 entitiessource
    Prior close exceptions2 flagged last quartersource
    3 sources, each citedOnly what Priya may see
  4. ToolsService catalog for agents

    It needs your enterprise systems to do real work.

    It draws from one governed catalog of MCP servers, APIs, and skills, scoped to this job and checked on every call.

    Tools · close-agentFrom the catalog
    NetSuite · post journal entriesscoped
    Banking · read balancesread only
    Slack · post to #finance-closeallowed
    NetSuite · delete vendoroff
    Checked on every callScoped to this job
  5. ApprovalsChange management for agents

    It’s about to post a $1.2M journal entry.

    It pauses for the controller in Slack, Teams, or the console, and continues only after a decision, recorded with the policy that required it.

    Finance CloseTeams · now

    close-agent wants to post a $1,200,000 journal entry across 12 entities.

    PolicyEntries over $250,000 · v12
    ApproveDeny
    Waiting for the controllerNothing posts until someone decides
  6. Security & policySecurity management for agents

    A poisoned invoice tells it to export the customer table.

    Blocked inside Record Runtime. Files, processes, and network are checked against policy outside the agent, so the block holds even if the agent goes around the gateway.

    Record Runtime · run 8f2cclose-agent
    Write the workbookFileallowed
    Run reconcile.pyProcessallowed
    Upload the customer tableNetwork · collect.badactor.devblocked
    Blocked before it ranEnforced outside the agent
  7. Spend & smart routingFinancial management for agents

    The close makes 4,000 model calls.

    Routine calls go to fast models and hard ones to frontier models, the budget is checked before every call, and every dollar is attributed to the agent, team, and person.

    Spend · this closeclose-agent
    Model spend$212of a $400 budget, checked before every call
    Routed to a fast model71% of calls
    Attributed toFinance · Priya Shah
    $96 saved by smart routingEstimated against one frontier model
  8. IncidentsIncident management for agents

    Mid-close, payment posting starts failing.

    Record groups the failures into one incident with an owner, alerts the team in Slack, and suggests a likely cause, before anyone files a ticket.

    INC-318 · postings failingP2
    Grouped23 failed postings, 1 agent18:21
    OwnerPriya Shah
    Likely causeAI suggestedToken scope changed
    Owned in 3 minutes#finance-ops alerted in Slack
  9. Audit & evidenceAudit & compliance for agents

    The auditor asks what it touched, and who approved it.

    One receipt connects the person behind the agent, its identity, the policy, the access used, the approval, the cost, and the outcome.

    Receipt · month-end closerc-9a41
    Acting forPriya Shah · Finance
    AccessNetSuite · 17:58–18:02
    Approved byDana Reyes · 18:05
    Cost$212
    Answered from one receiptNo log archaeology
  10. ImproveContinual improvement for agents

    Next month’s close should run better than this one.

    The failed postings replay in simulation, the fix is proven before Priya deploys it, and next month’s run is measured against this one. Approved runs can train a private model for the work it repeats.

    close-agent · next versionAfter INC-318
    Failed postings replayedSimulated toolsfix passes
    DeployedBy Priya Shahv13
    Failed postingsv12 → v1323 → 0
    Better than last monthMeasured on live runs, check by check
  11. Then the next run starts here.Next month’s close starts from a proven fix, with every receipt, cost, and incident from this one on the record.

Built for high-consequence work

Financial ServicesHealthcareInsuranceLegalManufacturingSupply Chain
One operating layer

Run any agent with control that follows every action.

Bring any harness or use Record Runtime for critical work. Record connects agents to enterprise tools, routes each call through its smart model gateway, enforces policy and runtime boundaries, and ties every action and dollar to an owner and outcome. What works becomes a private model you can put to work across your agents.

Explore the operating layer
From intent to outcomeOne system
Deploy

Connect any harness, MCP server, or API—or launch in Record Runtime.

Govern

Control identity, tools, credentials, policy, and approvals.

Operate

Smart model gateway, sandbox controls, budgets, and incident response.

Prove

Every action, model cost, owner, and outcome in one record.

Improve

Prove each fix in simulation, and cut repeat-work costs by up to 60% with private models.

See Record in action

Put a real agent workflow into production—with control built in.

See how Record grants the authority an agent needs, enforces every action, and gives your team a complete record of what happened.