AI coworkers for IT teams.
They triage tickets, fulfill access requests, onboard new hires, and run on-call — so your team handles the work that actually needs humans.
Your team built an AI stack. Nobody told IT.
Every department spun up their own AI subscriptions. Engineers wired MCP servers into your real systems on personal tokens. Connector keys live in vendor clouds, dev laptops, and shared docs. None of it touches your governance — and your security team is finding out the hard way.
AI got into your company without IT. There’s no platform to take it back.
Engineering on ChatGPT. Marketing on Claude. Sales on Gemini. 47% of GenAI users go through personal accounts that bypass every control IT owns — because the platform IT needs doesn’t exist yet.
Record is that platform. One place for IT to deploy, govern, and audit every AI coworker — before nineteen vendors write your AI policy for you.
Without policy, agents do whatever the prompt tells them — anywhere on your stack.
Agents touching your filesystem, spawning processes, reaching any endpoint — bounded only by what the LLM remembers about 'safety.' One prompt injection later, your data’s on a hostile host. No filesystem, process, network, or human-in-the-loop boundary.
Cedar policy across every dimension — filesystem, process, network, MCP tools, HITL. Three independent gates (SDK, AI gateway, kernel sandbox) enforce it. The agent cannot do what the policy forbids.
Employees are wiring AI into your real systems. IT has no idea who, what, or where.
Engineers spinning up MCP servers to prod databases. Marketing wiring Salesforce tokens into ChatGPT plugins. Sales adding OAuth apps to HubSpot. MCP configs on personal laptops, OAuth apps in vendor dashboards, tokens in browser extensions. No inventory. No revocation. No idea what walks out when an employee does.
Record becomes the broker for every AI-to-enterprise-tool connection — MCP servers, OAuth apps, API tokens — managed centrally, minted just-in-time per call, scoped by Cedar policy, revocable in one place. Employees stop wiring their own.
Marketing's Claude bill landed on IT's budget. Again.
No per-team caps. No spend alerts. Every department’s AI experiment shows up at end-of-quarter — and the CFO calls you to explain why the OpenAI line item tripled.
Per-team budget caps with auto-cutoff. Chargeback by cost center. Real-time spend by coworker, model, and department.
"What AI touched our data?" — nobody can answer.
Logs across twelve vendors. Decisions in chatbots that leave no trail. Approvals in DMs. The average shadow-AI breach takes 247 days to detect — the evidence is in systems IT never approved.
Every coworker action, credential, and approval lands in one queryable trace. Hand it to your auditor.
One platform. Sandbox isolation, just-in-time credentials, per-team budgets, and a single audit trail — for every AI coworker your team builds. Record is the platform that doesn't exist yet — until you turn it on.
Built so IT can actually ship AI.
Three things block AI adoption in IT today. Record removes each one.
Employees sprawling AI without IT
No platform, no inventory, no central control.
One platform IT owns to deploy every AI coworker — instead of nineteen vendors deploying themselves around you.
Trust & GovernanceTokens & MCPs wired up without IT
Credentials, OAuth apps, MCP servers — scattered across laptops, browser extensions, and vendor dashboards.
Central broker for every credential, every MCP, every OAuth app — minted just-in-time per call, revocable in one place.
Visibility & SpendNo policy, no audit, no spend caps
No way to control what agents do, prove what they did, or cap what they cost.
Cedar policy in your git. Per-team budgets that auto-cutoff. One queryable audit trail.
Customizable & ExtensibleNot sure where your team stands? Take the 90-second AI Readiness benchmark
Three-gate enforcement. One policy engine.
IT teams need AI in real operations — fast. But you can't ship what you can't govern, and you can't govern what your team built in twelve different vendor clouds. Record runs every coworker action through three independent enforcement layers, with one policy engine your CISO actually owns. So your IT team moves quickly and your security review approves on the first pass.
Every coworker action governed at three layers.
Every tool call, every credential exchange, every outbound request runs through three independent enforcement layers — application, network, and operating system. One Cedar policy engine sits behind all of them, so what your IT team writes in policy is what every layer enforces. The shadow AI gaps disappear because the architecture closes them — not because a setting was enabled.
Credentials minted per call. Revoked on completion.
No more standing API keys, OAuth tokens, or service-account secrets sitting on agent hosts. Credentials are minted per tool call from your existing IdP — Okta, Entra, AWS STS — with a short TTL, injected at the network layer, and auto-revoked the moment the call completes. The coworker can't leak what it never held. High-risk actions pause for a human approval in Slack or Teams — durable, auditable, and ready when your auditor asks.
Every action. Every token. Every dollar.
Full traces across all three enforcement layers. Per-coworker, per-team, and per-department cost attribution with budget enforcement. The visibility your IT director needs, the audit evidence your compliance team needs, and the cost control your CFO will ask about by week six.
See what every coworker did. On whose behalf.
Every coworker action is captured as a single trace, attributed to a coworker, a team, and a named human sponsor. Pull SOC 2, HIPAA, or ISO 27001 evidence in one query — every credential mint, every policy decision, every approval, line by line. Export to Datadog, Splunk, or your existing SIEM. Ready when your auditor asks, not three weeks later.
Per-coworker. Per-team. Per-department.
Real-time cost attribution at every level — coworkers, teams, departments, models, providers. Set budget caps with auto-cutoff. Chargeback by cost center so Marketing's coworker bill doesn't land on IT's budget. Finance, IT, and the CFO see the same numbers in the same dashboard. No surprise bills, no end-of-quarter cleanup.
Yours to shape. To every workflow you own.
Record runs in your stack — your VPC, your cloud, your air-gapped data center. Every tool, policy, workflow, and channel bends to how your IT team already works. ServiceNow, Jira, Okta, Entra, Slack, Teams, Workday — wired up in minutes through your existing connections. Build any coworker your team needs without waiting for someone else's roadmap.
Plugs into the IT systems your team already runs.
ServiceNow, Jira Service Management, Okta, Entra ID, Active Directory, Workday, GitHub, Slack, Teams, Zendesk, Confluence, SAP — every system your IT team operates today becomes a tool your coworkers can use, governed by the same policies. MCP servers, OpenAPI specs, REST endpoints — wired up in minutes through unified connections. No rip-and-replace.
Runbooks, tickets, docs — already up to date.
Auto-sync your Confluence runbooks, ServiceNow ticket history, internal wikis, and product docs into a queryable knowledge graph. Three retrieval modes give coworkers the institutional context they need — and they get smarter with every ticket they close. New hire shadows the coworker, not the other way around.
One policy. Humans and coworkers. One audit trail.
The same Cedar engine that governs your AI coworkers also governs the engineer asking for prod-DB access at 2am. Rotate credentials in one place. Change approval chains in one place. Review policy as a PR in your git. When the auditor asks who had access to what, the answer is one query — not twelve.
No-code and pro-code. Same platform.
IT leads and ops teams build coworkers conversationally via the web console — no YAML, no learning curve. Platform engineers use the CLI from Claude Code, Cursor, or any terminal for version-controlled, PR-reviewable configurations. Same governance. Same audit trail. Same coworkers running in production.
Build a fulfillment coworker for any IT workflow.
Web for IT leads. CLI for platform engineers. REST API for everything else. Same coworker, same governance, same audit trail — whichever surface your team works in. Build experiences anywhere.
Describe the fulfiller
"A coworker that handles VPN, prod-DB, and repo access requests in Slack — auto-approve for on-call, manager review for everyone else." The built-in setup agent picks the right tools, drafts the Cedar policy, and proposes the approval chains. No YAML, no learning curve.
Wire it to your IT stack
Pick the connections your IT team already manages — Okta, Jira Service Management, ServiceNow, Slack, GitHub, Entra. Existing credentials and approval rules become the coworker's scope. Nothing to re-create. Nothing to re-secure.
Review policies and approvals
See the generated Cedar policy and approval chains side-by-side. Tighten scopes, add manager + security approval for prod access, set TTLs per request type. Save it as a PR in your git. Your CISO can review it like any other change.
Deploy and watch it fulfill
Hit Deploy. The fulfiller starts handling tickets in seconds. Watch every request live — policy decision, JIT credential mint, approval in Slack, fulfillment, revocation — as one trace per ticket. Auditor-ready from request one.
Let's prove it works.
No sales deck. No feature demo. We build your agents and measure the results.