Time-Out Zone

The AI HR assistant that actually knows your leave data

Ask your AI who's out next week. Ask it how many days you have left. Ask it to book Friday off. Time-Out Zone speaks MCP, so the assistant your team already uses gets real answers — with the same permissions as the person asking.

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Your team already asks AI

75%

of knowledge workers already use generative AI at work

78%

bring their own AI tools to the job

1

question replaces a login, four clicks, and a filter

0

extra permissions: the AI sees exactly what you may see

  • Three out of four knowledge workers already work with an AI assistant. The question is whether it knows your balances and policies — or makes them up.
  • Time-Out Zone gives assistants a live, permission-checked line to your leave data, so answers come from the source instead of guesswork.

Microsoft & LinkedIn Work Trend Index 2024, survey of 31,000 knowledge workers across 31 countries.

Ask in plain language

"Who's out next week?" "How many vacation days do I have left?" Your assistant asks Time-Out Zone and answers with live data, not guesses.

Built on an open standard

MCP is the open protocol AI assistants use to talk to tools. Claude, ChatGPT, and other MCP-compatible assistants connect the same way.

Same rules as the app

The AI acts as you, with your permissions. It cannot see other people's balances, skip an approval, or touch another company's data.

From question to request

"Book me Friday off" files a real request through the normal approval flow. Your manager still decides; the audit trail still records it.

Guardrails included

Works with your assistant

Any MCP-compatible AI can connect — the standard is open, and the list keeps growing.

Instant, current answers

Responses come from live data: balances, approved leave, team absences. No stale exports.

You, verified

Every AI action runs under your authenticated account. No shared bot user, no super-access.

Every action leaves a trace

Requests filed through AI land in the same audit trail as everything else — who, what, when.

MCP = Model Context Protocol, the open standard for connecting AI assistants to tools and data.

Ask

Ask, don't click

The fastest UI is a question.

  • Who's out, balances, upcoming leave, pending approvals — one question each, answered from live data.
  • Employees skip the login-navigate-filter routine; managers get their pending list read to them.
  • Answers respect visibility: your assistant sees your world, nothing more.

Act

From answers to actions

The assistant can do, not just tell.

  • File a time-off request by describing it: dates, type, note — done.
  • The request follows the exact same path as one filed in the app: validation, approval chain, notifications.
  • Nothing is auto-approved. AI convenience never outranks your approval rules.

Trust

What is MCP, in plain words

An open plug, not a black box.

  • MCP (Model Context Protocol) is an open standard that lets AI assistants securely use tools like Time-Out Zone.
  • Think of it as a power socket: one standard shape, many compatible devices.
  • Because it is open, you are not locked to one AI vendor — today's assistant or tomorrow's, same connection.

More resources

Feature

Integrations

Feature

Security

Feature

Time-off requests

Ready to get started?

Give us a call. We'll connect your assistant and you'll ask your first leave question live.

Integrations

Slack, calendar, and email, wired up.

Explore

Security

Roles, isolation, encryption.

Explore

Frequently asked questions

What is MCP?
MCP (Model Context Protocol) is an open standard that lets AI assistants connect to tools and data securely. Time-Out Zone speaks MCP, so assistants like Claude or ChatGPT can check who's out, look up balances, or file requests — with real, live data.
Which AI assistants work with it?
Any MCP-compatible assistant. The protocol is an open standard, so the ecosystem keeps growing — Claude, ChatGPT, and a widening list of tools that support MCP connections.
Can the AI approve its own request?
No. A request filed through AI follows exactly the same approval flow as one filed in the app: your manager or approval chain decides, notifications go out, and the audit trail records everything.
Can the AI see other people's data?
Only what the person asking is allowed to see. The AI acts under your account and your permissions — an employee's assistant cannot read teammates' balances, and no assistant crosses company walls.
Is this on by default?
Connecting an assistant is a deliberate step — you set up the connection for your account. Until then, nothing is exposed.
Why does this matter for HR?
Because your team already asks AI questions about time off — and an assistant without access makes answers up. A connected assistant answers from the source, files real requests, and saves everyone the clicking.