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ZEISMO

AI · AI & Automation

AI Departments

Not one bot: a department. Agents with named roles, budgets, an approval queue and a full audit trail run an entire function together. We operated one inside our own business before offering it to anyone else.

Sound familiar?

One bot is not an operation

A single assistant answers questions; it cannot watch campaigns, chase follow-ups and file reports as a coordinated function.

Agents with no governance

AI acting without roles, budgets or an approval queue is not a department. It is a liability with API access.

This service exists because we kept meeting these two. Here is what fixing them properly includes.

What's included.

AI / ai-departments

01

Department design

Roles defined the way you would hire: one job each, written limits, clear handoffs between agents.

02

Approval workflows

Agents research and propose; execution waits for a human verdict. Autonomy inside a fence.

03

Budgets and ceilings

Token and currency caps enforced in code, with alerts before any ceiling is hit.

04

Daily reporting

The department reports its own numbers to you daily, including what it failed at.

The toolkit for this work

Claude AINode.jsLaravelRedisWhatsApp Cloud API

How ai & automation work runs here

01

Read the real conversations

Your actual transcripts decide the design: where people drop, what goes unanswered, what gets asked daily.

02

Curate the truth first

An approved answer library comes before any AI: the bot quotes your facts, not its imagination.

03

Ship with guard-rails

Price and policy claims validated in code; anger, confusion and requests for a human escalate immediately.

04

Tune on transcripts weekly

Unanswered questions become new approved answers, and every fixed behaviour is locked with a test.

What it's judged by.

Every engagement reports these: the numbers, not the vibes.

01

Answered without a human

The share of conversations resolved correctly by the machine alone.

02

Time to first reply

Seconds, at 3am too: the reason the bot exists.

03

Orders completed in chat

Conversations that became confirmed orders, the number that pays for everything.

This is for you if

  • Businesses whose customers live on WhatsApp
  • Stores losing sales to slow replies and time zones
  • Teams drowning in the same twenty questions

And honestly not, if

  • Anyone who wants the bot to bluff when it does not know
  • Replacing human judgement on complaints and edge cases

We turn down work that fits this column. It is cheaper for both of us early.

A bot earns trust by knowing when to stop talking and fetch a person.

how we run ai & automation

Asked about this service.

Is this real or a demo?

Real. Our own operation runs a fifteen-agent department daily: research, campaign watching, reporting and customer follow-up: under exactly the controls we sell.

How many agents does a department need?

As few as the function honestly needs: ours runs fifteen across research, marketing watch, operations and reporting. We size by workload, not spectacle.

What does it cost monthly?

Metered AI usage inside caps you set, plus operation. You see the spend daily and the department warns before any ceiling: the same controls our own runs on.