AI Agents

Give it a mission. Approve its work.

Author an AI agent in plain English. It reasons over your data with real tools, writes you a report, and stages the changes for review — it proposes, you approve. It never touches your data on its own.

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app.bo.ge / acme / agents / stock-watch
🤖
Stock Watch
Scheduled · daily 07:00 · gated write
● awaiting approval
Mission
Check sales against stock and propose purchase orders for anything that will run out within two weeks — stay within the monthly budget.
Reasoning · 6 steps
📊aggregate_records(Sales, last 30d)312 units
📦list_records(Inventory, low stock)4 items
🧮count_records(Purchase Orders, open)2 open
Proposed writes · awaiting you
ActionRecordReview
CreatePO · Acme Beans 24× — ₾1,440
CreatePO · Oat Milk 48× — ₾960
UpdateItem Cups 16oz · reorder point → 200
Approve allReject
Plain English
no flow-builder, no code
Gated
it proposes, you approve
3 triggers
manual · scheduled · event
Your data
scoped to entities you grant
How it works

An AI teammate with a job and a leash.

1

Write a mission

Plain English: the goal + your guardrails.

2

Pick a trigger

On demand, on a schedule, or on an event.

3

It reasons

Reads the entities you granted, step by step.

4

It proposes

A report + staged changes — never a direct write.

5

You approve

One click commits; reject and nothing happens.

The safety model

It proposes. You approve.

This is the difference between a useful agent and a scary one. A BackOffice agent can read what you grant it and reason freely — but every change it wants to make is staged as a proposal, not written. You see exactly what it would create or update, with its rationale, and approve or reject.

Grants are enforced on the server at every step and re-checked at approval — the agent can only act inside the entities you gave it, and can never escalate its own scope.

🧠

Reasons with tools

Counts, aggregates and reads records to think it through.

📝

Writes a report

A readable summary of what it found and why.

Staged writes

Changes wait for your approval — nothing auto-commits.

🔒

Scoped grants

Only the entities you allow, enforced server-side.

Triggers

Run it when it matters.

▶️

Manual

Hit run whenever you want a fresh pass — a report on demand.

Scheduled

A daily or weekly cron. The reorder check that runs before you're awake.

On event

Fires when a record is created or updated and matches your condition.

Put it to work

Missions people actually give them.

📦

Reorder watch

"Compare sales to stock and propose POs for anything running out in two weeks, within budget."

💬

Stale-deal nudge

"Find deals with no activity in 14 days and draft a follow-up task for each owner."

🧾

Invoice triage

"Flag overdue invoices over ₾500 and propose a reminder for each."

📈

Monday report

"Every Monday, summarise last week's revenue, top products and pipeline changes."

The real math

An extra pair of hands — without the extra headcount.

What you'd otherwise doTypical costBackOffice
Analyst doing the recurring check by handhours/week
Separate AI-agent platform$$$/seat/mo
Wiring it to your data + approvalsBuild it
Agents that know your data, gated by approvalextra tool + timeincluded · AI metered

Agents run on the same workspace as your records, so there's nothing to integrate — and every write goes through your approval. See pricing →

Questions

Frequently asked.

Can an agent change my data on its own?

No. Agents never write directly — every change is staged as a proposal on the run, and a human approves before anything commits. Read-only agents can't write at all.

How do I tell an agent what to do?

In plain English. Give it a mission like "check sales against stock and propose a purchase order within our budget", set guardrails (which entities it may read and write, max steps, a budget note), and pick a trigger.

When do agents run?

On demand, on a schedule (a daily or weekly cron), or on an event — when a record is created or updated and matches your condition.

What can it actually touch?

Only the entities you grant it. Read and write scopes are enforced on the server at every tool call and re-checked when you approve — it can only propose within its grant, never escalate.

How much does it cost?

Agents are part of the BackOffice workspace — free to try, with AI usage metered against your plan. There's no separate per-agent seat.

Give your busywork to an agent.

Write a mission, set the guardrails, and let it draft the work — you stay in control of every change. Free to start, no credit card.

Start free