Connect the tools you already run
Point an agent at your helpdesk, CRM, shared mailboxes, spreadsheets, data warehouse or internal API. It works inside those systems instead of beside them, so the work lands where your team already looks.
Governed agents, not demos
Put an AI agent to work in your office
Write the job in plain language and AI Agent Office turns it into a working agent: a reviewable plan, scoped access to the systems you already run, approval gates where the decisions matter, and a complete record of every action it takes.
- Describe the job in plain language, with no orchestration code
- Review the plan, the tools and the guardrails before anything runs
- Require a human approval for every action that writes
- Keep a complete trace of runs, decisions and escalations
4Ready-to-run agent briefs
40+Tool and system connectors
1 reviewPlan to approved run
100%Actions kept in the run history
Agent consoleDescribe the job, review the plan, run it
Interactive previewSupport Triage AgentDraft plan
Watch the shared support inbox, classify every new ticket by product area and urgency, answer the ones covered by our help centre, and escalate anything about billing or outages...
- 1TriggerRuns on the schedule or event you connect - a new ticket, an idle deal, an inbound invoice or a queue item.
- 2UnderstandReads the request, pulls the matching record from your systems of record, and fills in the gaps before it decides anything.
- 3DecideApplies your written rules, scores confidence, and stops instead of guessing when the case does not match a rule.
- 4ActDrafts the action and waits for a human approval before it writes anything back to a connected system.
- 5ReportWrites an auditable record of every input, decision and action, and posts a summary where the team already works.
--Run the preview to watch a governed agent work.
Everything an agent needs before it touches real work
AI Agent Office is built for the part that comes after the demo: connecting systems, agreeing what the agent may do, and keeping a record that stands up to review.
A plan before any action
Every brief is turned into a reviewable plan: the trigger, the steps, the data the agent reads and the actions it will take. Nothing runs until a person has read the plan and approved it.
Approvals and guardrails
Choose which actions need a human first, cap volumes and spend, and keep every write inside an allow-list of approved systems. Escalations reach a named owner instead of a shared inbox.
Run history and audit trail
Each run records what the agent read, what it changed, who approved what, and where it stopped for help. Export the trace when finance, security or an auditor asks how a decision was made.
Scoped access, revocable anytime
Agents authenticate with their own scoped credentials rather than a person account. Narrow the scope, pause an agent or revoke access in one place, without breaking the rest of your stack.
See what the work actually saved
Track volume, completion, escalations and time returned to the team per agent, so you keep the jobs that pay for themselves and retire the ones that do not.
The brief decides how good the agent turns out
An agent is only as clear as the job description behind it. These are the details worth writing down before the first live run.
A brief that gets a good plan
- Name the trigger: an event, a schedule or a person asking.
- Say which systems hold the information the agent needs.
- Describe a good outcome, not just the task.
- List what the agent must never do on its own.
Guardrails worth setting early
- Require approval for anything that writes to a system of record.
- Cap how many actions one run can take.
- Keep the agent out of production and payroll until it has a track record.
- Give every escalation a named owner and a channel.
Five details turn a brief into a plan you can approve
The console reads a brief the way an operations lead would: it looks for the trigger, the systems, the order of work, the moments a person must decide, and the definition of done.
| Brief element | What to write | Why it matters |
|---|---|---|
| Trigger | The event or schedule that starts a run, for example a new ticket or every weekday at 08:00. | Decides whether the agent works on time or on demand. |
| Systems | The tools and datasets the agent may read from, plus the ones it may write to. | Keeps access scoped to the job instead of the whole company. |
| Steps | The order of work, with the hand-off points where a person is involved. | Makes the plan reviewable before the first live run. |
| Approvals | The actions that stop and wait for a human, and who that human is. | Puts a decision-maker in front of anything that matters. |
| Definition of done | What the completed run looks like, and what the agent should escalate instead. | Gives the run a clear end and a clear exit. |
Jobs teams hand to an agent first
Each of these is a short brief a team could write on a Monday and run by Friday. Load one into the console above to see the plan it produces.
Watch the shared support inbox, classify each new ticket by product area and urgency, answer the ones our help centre already covers, and escalate billing or outage tickets to the on-call lead with a summary.
Every weekday morning, review deals that have been idle for more than ten days, draft a follow-up for the owner, check the account for open support issues, and post a short summary in the pipeline channel.
Read supplier invoices from the accounts mailbox, match each one against its purchase order, flag price or quantity mismatches, and queue the clean ones for approval before they reach finance.
Handle access requests from the IT queue: verify the requester against the HR directory, grant the standard applications automatically, and route anything touching finance or production to a human approver.
Collect the week numbers from the marketing, sales and support dashboards every Friday, write the summary in the house style, and circulate the draft for review before it goes to the leadership channel.
Compare each new supplier contract against our standard terms, list every clause that deviates, and send the contract with the differences highlighted to legal for a decision.
From a written job to a governed run in four steps
Nothing about the loop is a black box. You approve the plan, you approve the rules, and you can read exactly what happened afterwards.
Write the brief
Describe the job the way you would brief a new team member: the trigger, the systems, the rules and the outcome you expect.
Review the plan
The console drafts the plan, the tool list and the guardrails. Cut what you do not need and tighten what you do.
Approve the rules
Decide once which actions need a human. The agent keeps working to those rules while the run history builds trust.
Run and widen
Watch the first runs, read the traces, then move the agent onto more volume, more systems or a wider schedule.
What changes when the agent has an office
Most teams arrive with the same four problems. An agent with a brief, a plan and a run history answers them differently from another tool.
| Your situation | What an agent office gives you | What it replaces |
|---|---|---|
| Recurring work with no clear owner | One agent with a written brief, a schedule, an approved plan and a visible run history. | A weekly scramble, a shared inbox and a backlog nobody measures. |
| Processes that touch sensitive systems | Approval gates, scoped credentials and an audit trail for every action. | Manual copy-paste between tools with no trace of who changed what. |
| Automation that is hard to change | Edit the brief in plain language, re-approve the plan, keep the run history intact. | Brittle scripts that only the person who wrote them dares to touch. |
| Deciding whether agents are worth it | Start with one repeatable job, measure the saved hours, then decide. | A pilot that never leaves the demo stage because nobody can see the output. |
Where a governed agent earns its place
The pattern is always the same: repetitive work, clear rules, and enough consequence that someone has to be able to check the trace.
Customer support
Triage inbound tickets, answer from the help centre, and escalate anything about money or outages to a named owner.
Revenue operations
Keep deals moving, chase stalled opportunities, and turn call notes into CRM updates with review before they land.
Finance operations
Process supplier invoices, match them to purchase orders and route mismatches to a person before payment.
IT and access requests
Verify requesters, grant standard access automatically, and send anything privileged to a human approver.
Operations and reporting
Pull the week numbers, write the summary in house style, and circulate a reviewed draft before it is published.
Compliance and review work
Check documents against policy, flag the deviations with a citation, and log the decision for the audit file.
Controls that let a team say yes to agents
Autonomy is a dial, not a switch. Start with an agent that drafts and escalates, then widen its scope as the run history earns trust.
Approval gates
Anything that writes, pays, sends or deletes can be held for a human. Approvals are recorded with the run they belong to.
Least-privilege access
Each agent carries its own scoped credentials, limited to the systems and records the brief actually requires.
Traceable runs
Inputs, tool calls, decisions, approvals and escalations are stored per run and exportable for review.
Human override
Pause an agent, take over a run or reassign an approval at any time. The agent never blocks the work waiting for itself.
Change control
Edits to a brief or a plan are versioned, so you can see what changed, when, and who approved the change.
Data boundaries
Choose which systems and fields an agent may read, and keep sensitive records out of scope by default.
Three plans, priced per workspace
Every plan includes the console, the plan review, approval gates, run history and the connector library. Start small and move up when the first jobs are paying for themselves.
Starter
$19 per month
For one team proving its first agent jobs.
- 3 active agents
- 5,000 agent actions a month
- Core connectors and scheduled runs
- Approval gates and run history
- Email support
Team
Most popular$49 per month
For teams running agents on daily work.
- 20 active agents
- 50,000 agent actions a month
- Approval routing with named owners
- Shared briefs, plans and guardrail templates
- Run history export and audit view
- Priority email support
Scale
$99 per month
For operations that depend on agents every day.
- Unlimited agents
- 250,000 agent actions a month
- Advanced scoping and separation of duties
- Multiple workspaces and environments
- Audit export and long run retention
- Onboarding session with our team
Monthly billing, cancel any time. Yearly billing is discounted and keeps the same included volume. Taxes may apply on checkout.
What teams ask before the first agent
If something is not covered here, write to support@aiagentoffice.lol and a person will answer.
What is AI Agent Office?
AI Agent Office is a workspace for putting AI agents on real operational work. You write the job in plain language, review the plan the console drafts, connect the systems the agent needs, set the approvals and guardrails, then let it run with a full record of everything it did.
Do I need to write code to use it?
No. The brief, the plan and the guardrails are all written in plain language. Engineering only gets involved when you want an agent to call an internal API or a system that needs a custom connector.
Which systems can agents work with?
Agents connect to the tools your team already runs: helpdesks and service desks, CRMs, shared mailboxes, calendars, spreadsheets, document stores, data warehouses, chat and the common identity providers. If a system has an API it can be connected as a scoped tool.
What stops an agent from doing something it should not?
Four things: a plan you approve before the first run, approval gates on any action that writes, credentials scoped to only the systems and records the brief requires, and volume or spend caps per run. You can pause an agent or take over a run at any time.
Is the console on this page a real agent?
The console is an interactive preview that runs entirely in your browser. It shows how a brief becomes a plan, a plan becomes an approved run and a run leaves a trace. It does not connect to your systems and it never sends your text anywhere.
How does pricing work?
Plans are monthly subscriptions: Starter at $19, Team at $49 and Scale at $99 per month, each with an included monthly volume of agent actions. Yearly billing is discounted, and you can change or cancel your plan from your billing settings at any time.
What happens to my data?
Agents read only the systems and fields you scope to them. Run history is kept so the work can be reviewed, and you can export or delete it. The Privacy Policy on this site describes what is stored for your account and how to request removal.
Do I need a subscription to look around?
Signing in with Google creates your account and opens the console preview. Running agents against your own systems needs an active plan, and you can start on the Starter plan and move up once the first jobs prove themselves.
Start with one job
Put your first agent on the work nobody has time for
Pick the job that keeps slipping, write the brief, and read the plan before anything runs. You keep control of every action that matters, and the run history shows what the agent actually did.
aiagentoffice.lol is an independent third-party website. It is not affiliated with, endorsed by, sponsored by or operated by Workato, Zapier, UiPath or any other automation or agent platform it may be compared with, and product names, plans or connectors shown here describe this service only. The agent console on this page is an interactive preview that runs in your browser: it does not connect to your systems and it does not send your text anywhere. Subscription billing is handled by Stripe.