AI agent control room

Every AI in the company on one screen

How many there are, what each one does, what this month cost, and where to cap it — all on one page

RegisterBudgetCapsReports

Every number on this page comes from Sample company · Wholesale–retail · 60 staff for September 2026 — a mock data set so you can see how the screens look. The real one runs on your own numbers.
These screens exist for real — go and click around Open the live system, no sign-up

The company-wide AI register

How many, and what each one does

Tap a card to see what that agent does, what it connects to, and where a person decides

15

agents in total

6 departments

12

Running

1 paused · 1 capped · 1 testing

21,735

Jobs per month

September 2026

1,858

Staff hours saved

worth THB 390.3K a month

What this department hands to AI

Every department sits in the same register — pick one to see who does what for whom

agent
15 agents
Jobs per month
21,735
Budget this month
THB 16.2K / THB 21.5K

The register of Sample Company (Wholesale–retail · 60 staff) — agent names and numbers are made up. The real ones follow the work in your own company.

Budget and reporting

What it costs, and how far you can cap it

You are charged for work actually done. Set a cap per agent and for the company; when a cap is hit the system stops on its own

01What this month cost

The whole AI bill on one page

September 2026 · Sample Company · Wholesale–retail · 60 staff

THB 16,192

of a THB 25,000 cap

64.8% of the cap

The company-wide cap is set at THB 25,000 a month — THB 8,808 still free

By department

15 agents · 12 switched on

  • Sales3 agentsTHB 3,71623%

    Catches new leads, drafts quotes, chases what is pending

  • Accounting–finance3 agentsTHB 3,70823%

    Reads documents, matches payments, tracks what is unpaid

  • Marketing3 agentsTHB 2,93018%

    Writes content, watches rankings, keeps an eye on competitors

  • Customer service3 agentsTHB 2,60816%

    Answers chats, sorts cases, listens to what customers say

  • Central1 agentsTHB 2,60416%

    Runs the queue, hands work to the others, briefs the owners

  • Operations2 agentsTHB 6264%

    Watches stock and writes the daily report

THB 16,192

AI spend this month

21,735 jobs done this month

1,858 hrs

Staff hours saved

All agents, per month

THB 390,268

What that time is worth

at an average wage of THB 210/hr

24.1×

Return on the spend

Value saved ÷ what you actually paid

Sample-company figures, names and amounts made up — the real ones come off your own model provider bill

02How the price works

Pay for what you use, no per-seat fee

The cost is the provider list price per token for the model, converted to baht — every line is open to check

ModelWhat it is used forIn / 1M tokensOut / 1M tokensPrice per job

Opus 5

1 agents on it

Hard thinking, the calls a manager would make, long documents$5$25

THB 1.44

Sonnet 5

7 agents on it

Routine work that has to be accurate — writing, analysis, reading documents$3$15

THB 0.86

Haiku 4.5

7 agents on it

High-volume repeat work, fast replies, sorting$1$5

THB 0.29

What “one job” means

3,000 tokens in · 1,000 tokens out — a longer job costs proportionally more

Exchange rate used

1 USD = THB 36 — the per-1M-token prices above are the model provider list prices

Actual average this month

THB 0.74 per job across 21,735 jobs — a quieter month means a smaller bill

You pay for what you use, with no per-seat fee — nothing called, nothing charged

The per-1M-token prices are the model provider real ones; the job counts and totals belong to a sample company

03Set a budget cap

Move the cap and see who stops first

The system cuts the priciest per job first — the cheap, high-value agents keep going

Company cap per monthTHB 8,000
THB 8,000THB 16,192 actualTHB 30,000

Still running

8 agents

THB 6,535 spent

Stopped by itself

7 agents

THB 9,657 not spent

Staff hours lost

816 hrs

worth THB 171,378

Who keeps going, who stops

Ordered from the cheapest per job upward, spending the budget until the cap is hit

Case SorterTHB 432Front DeskTHB 1,408Stock WatcherTHB 322ReconcilerTHB 540Follow-upTHB 665CollectionsTHB 128Ad ScoutTHB 0Bill ReaderTHB 3,040

Stops taking work at once and waits for someone to approve more budget

Lead CatcherTHB 1,595Rank WatcherTHB 1,500Review ListenerTHB 768Quote WriterTHB 1,456Queue LeadTHB 2,604Content WriterTHB 1,430Morning BriefTHB 304

Rules that run themselves

Real demand = 202% of this cap

80%90%100%
  • 80% — Alert on LINE

    At 80% of the cap the system messages the admin on LINE and names the agent spending the most

  • 90% — Switch to a cheaper model

    At 90% the work that does not need heavy thinking moves to a cheaper model on its own

  • 100% — Stops on its own

    The moment the cap is hit that agent stops taking work and waits for a person to approve more budget

The stop order is worked out live from cost per job and actual spend at a sample company

04The history

Look back at every month, every event

Over the last 6 months, spend rose with the number of agents switched on — the hours saved rose faster.

Tap the chart to read each month

THB 5KTHB 10KTHB 15KTHB 20KAprMayJunJulAugSepTHB / month

Sep

SpendTHB 16,192Hours saved1,858 hrsAgents switched on14 agents

Spend Apr → Sep

THB 4,200THB 16,192

Hours saved Apr → Sep

420 → 1,858 hrs

Agents switched on

3 → 14 agents

Latest events

The system stopped itself 1 times this month

  • Rank WatcherRankings, and whether AI names usBudget cap hitToday 09:12

    Hit its THB 1,500 cap — stopped taking work on its own, waiting for someone to approve more

  • Morning BriefWrites the daily reportDeliveredToday 08:00

    Morning brief delivered to the owners' LINE group

  • Bill ReaderReads incoming paperworkBudget alertYesterday 16:40

    Reached 92% of its cap — the admin has been alerted

  • Ad ScoutWatches competitor adsNewly switched onYesterday 11:05

    Switched on in quiet test mode — nothing goes to the team yet

  • CollectionsChases unpaid billsPaused28 Aug 14:20

    Accounting paused it while the reminder wording is reworked

Mock sample — names and numbers are made up. The real one follows your business.

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