Skip to main content

Professional automation with visible boundaries

Turn incoming messages into work your team can review

Flatzer structures the request, applies approved rules, prepares the handoff and produces an execution receipt. It does more than reply like a chatbot.

Local simulation: no messages, bookings, assignments or data leave this browser.

A registered incident, never a confirmed repair, contractor or allocation of responsibility.
Sandbox · local simulation. This sandbox runs only in your browser. It contacts nobody, stores no data and performs no external action.

The operational problem

A reply is not enough when the work remains open

A useful interaction should end in a request, intake card, brief, incident or opportunity that a person can continue without rebuilding the conversation.

Start with one bounded task, explicit rules and evidence of the outcome.

Industries

Five professional workflows with a concrete outcome

Aesthetic clinics

Flatzer replies on Instagram and WhatsApp, explains treatments and books the appointment, without diagnosing.

Aesthetic clinics: See agent

Interactive simulation

Inspect the work, not a decorative conversation

This sandbox runs only in your browser. It contacts nobody, stores no data and performs no external action.

Choose a scenario

Sandbox · local simulation

Property managers

SIMULATION

Example message

“There has been water beside the lift in entrance B since this morning. The building is 12 North Street.”

What every plan gives you

Not a decorative conversation: every plan structures, hands off and leaves evidence.

Structured data, not just text

Every message becomes fields your team can review and reuse, not a loose transcript.

Handoff with full context

When a decision needs human judgement, the person receives the history and the data already prepared, without rebuilding the conversation.

A receipt for every execution

Every simulation and every real task leaves a reviewable summary of what was done and what remains pending.

Why replying is not enough

Compare what you get with a DIY setup, with ChatGPT and with a workflow designed to finish the work.

Structured data extraction

Doing it yourself (DIY)Requires hand-coded parsing rules
ChatGPTGenerates text, not verifiable fields
FlatzerStructures every message into reviewable fields

Explicit boundaries

Doing it yourself (DIY)Depends on someone coding and maintaining them
ChatGPTCan invent an answer outside its scope
FlatzerStops at the declared boundary and hands off

Handoff with context

Doing it yourself (DIY)Requires building your own team integrations
ChatGPTNo handoff, just another reply
FlatzerHands off with history and data already prepared

Execution receipt

Doing it yourself (DIY)No receipt unless you build one separately
ChatGPTProduces no evidence of what ran
FlatzerEvery task leaves a reviewable summary

Plans to start with WhatsApp

Choose the volume that fits your conversations. Every plan includes WhatsApp.

Starter
$52.95/mo
1,000 messages/month
WhatsApp included
100 web searches
20 AI images
Fallback OpenAI: 200 msgs
Shared VPS
Business catalog and content
Conversation inbox
Most popular
Growth
$106.95/mo
5,000 messages/month
WhatsApp and additional channels
500 web searches
100 AI images
Fallback OpenAI: 500 msgs
Shared VPS
Business catalog and content
Human control and handoff
Pro
$193.95/mo
20,000 messages/month
WhatsApp and additional channels
2,000 web searches
500 AI images
Fallback OpenAI: 1,000 msgs
Dedicated VPS
Human control and handoff
Custom integrations

Frequently asked questions

Start with a bounded task and a reviewable outcome

The sandbox shows the workflow contract. A live process requires verified rules, sources and destinations.

/en/ai-agents