About Record

Software was built for people. The next decade is built for agents.

Record exists so enterprises can let agents do real work without losing ownership of identity, access, credentials, policy, approvals, enterprise knowledge, incidents, diagnostics, spend, proof, or the intelligence their agents build. We call that ITSM for AI agents™.

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Agents are moving from chat to work. Work requires access. Access requires accountability. Record is the system where enterprises put agents, credentials, approvals, policies, knowledge, actions, incidents, diagnostics, and audit evidence on the record.

Why ITSM for AI agents™

Enterprises already know how to govern work. The worker changed.

The enterprise will not split into two worlds. For years, humans and agents will run the same systems together — the same IdP, CRM, ticket queue, codebase, and APIs. Traditional ITSM already gives human work a system: requests, approvals, access, incidents, knowledge, spend, and audit. Agents now do that same work at machine speed, so they need the same operating model — with stronger enforcement and clearer evidence.

Human ITSM manages
Agent work now needs
01Service requests and fulfillment
Agents request models, tools, skills, APIs, data, and enterprise actions through governed paths.
02Identity and access management
Every agent acts as a known principal, on behalf of a named human, with scoped access and no raw credential custody.
03Approvals and escalation
Risky actions pause for policy-driven human review, then resume with approver, reason, timestamp, and evidence.
04Change and release management
Changes to an agent, whether a prompt, model, tool, or policy, can be rehearsed on saved scenarios with simulated tools, and reach production only when a person deploys them.
05Incident and problem management
Signals become owned Issues with diagnostics, root cause, impact, lifecycle, and evidence for resolution.
06Knowledge base articles and runbooks
Knowledge & Memory gives agents your documents as cited passages and a fact graph, filtered to what each reader may see, plus memory they choose to keep.
07Spend, audit, and accountability
Every model call, tool call, credential lease, approval, incident, and dollar is attributed and queryable.
08Continual improvement
Failed conversations replay in simulation, each new version is measured against the last, and approved runs train private models for repeat work.

What changed

Agents turn automation into a managed workforce.

Agents are becoming a workforce

They read systems, call tools, use credentials, escalate work, and operate when humans are not watching. That is not a chatbot problem. It is an operating model problem.

Enterprise systems were built for people

IAM, ITSM, SIEM, and ticket queues assume a human subject. Agents need identity, access, policy, approvals, spend controls, observability, and lifecycle built around machine-speed work.

Access is the moment of truth

The risky moment is not when an agent generates text. It is when it touches a system, uses a credential, moves data, changes state, or triggers a workflow with real consequences.

Evidence is a product feature

The enterprise needs to answer which agent acted, on whose behalf, under which policy, with which credential, what failed, who owns the issue, and what evidence proves the outcome.

What we believe

Autonomy only works when authority is managed.

01No agent action should be anonymous.
02No agent should hold standing raw credentials.
03No important action should happen without policy context.
04No risky workflow should depend on a prompt behaving correctly.
05No audit question should require stitching four systems together.
The platform

One platform. End-to-end control.

Record Platform governs models, tools, access, policy, approvals, spend, incidents, and traces for every agent, and turns your best runs into private models. Record Runtime adds isolated sessions, kernel-level enforcement, and rehearsal on simulated tools for critical work, under the same record.

Any connected agent

Record Platform

Any agent stackConnect existing agents without rebuilding them.
Agents never hold credentialsAccess is issued for each action and expires right after. Agents never see the secret.
Approved models, tools, and knowledgeOne vetted catalog of models, MCP servers, APIs, and skills, plus company knowledge and agent memory.
Smart model routingSend each request to the right model for cost, speed, and quality.
Spend controlBudgets by agent and team, enforced before the call.
Policy and approvalsAllow, block, or require approval for sensitive actions.
Work where your teams areRun agents and approve actions in the app, Slack, Teams, the CLI, or the API.
End-to-end tracesEvery prompt, tool call, decision, and cost, tied to the agent and the person behind it.
Signals and incidentsDetectors turn failures and risky behavior into owned issues with a likely root cause.
Before and afterEach new agent version measured against the last on live conversations, check by check.
Private modelsOpen-weight models trained on your best runs, hosted privately behind your gateway, for up to 60% less at scale.
Yours to keepSingle-tenant, in our cloud or yours. Your agents, policies, and audit history stay yours.
Headless by designEverything in the console is also in the CLI and API, so Claude, Codex, or any agent can operate Record.
ConsoleCLIAPI
Run critical workflows in Record Runtime for stronger protection
Critical workflows run by Record

Record Runtime

Managed and sandboxed
Use your preferred agent stackClaude, Codex, Hermes, or your own custom agent, with more on the way
ClaudeCodex☤HermesCustom
Isolated sessionsEvery session runs in its own sandbox. Nothing is shared between users or runs.
Kernel-level enforcementFiles, processes, and network are enforced by the kernel, not by the agent behaving well.
Zero secrets insideCredentials stay outside the sandbox, out of reach of generated code.
Approved destinations onlyOutbound traffic reaches only the places policy allows.
Runtime evidenceEvery file, process, and network event is recorded and tied to the decision behind it.
Simulation before productionRehearse new agents and changes on saved scenarios with simulated tools, under your real policy and approvals.
Managed runtimeRecord handles execution, recovery, and completion.
Reliable workflowsPause and resume long-running work without losing progress.

The old question was: who clicked the button?

The agent-era question is sharper — which agent acted, on whose behalf, under which policy, with which credential, and what evidence proves it? Record exists so the enterprise can answer that before the regulator, the board, or the incident team asks. Agents get the capability to work; Record keeps the credentials, the policy, and the proof.