Real AI Projects / Steadymade Showcases

AI projects that solve a concrete business problem.

Five different examples of how a concrete problem turns into a working AI solution. From a single automated workflow to a company-wide AI working environment.

02Estate agency

Transcription → CRM

Problem

Another 15 to 30 minutes of write-up after every call.

Our solution

Every call documents itself.

Before

15–30 min.

write-up after every call

Result

Automatic

transcript, summary, CRM entry

Customer's own figure. Effort as reported by the customer, not verified by us.

03Media organisation

Research workflow

Problem

Finding additional perspectives costs hours.

Our solution

A link in, a research dossier out.

Before

Hours

manual research per topic

Result

Minutes

to a finished research dossier

Measured. Measured in the running solution.

04All industries

Entry-level automations

Problem

Not every AI project has to start big.

Our solution

An AI start in days rather than months.

Before

Months

typical project duration

Result

Days

until the first of seven building blocks runs

05Company-wide

Steadymade AI OS

Problem

What happens when the AI really knows the company?

Our solution

An AI that knows your company.

Before

1 day

preparing an event by hand

Result

Minutes

a full prospecting dossier from one URL

An example from our own use at Steadymade

Next step

Which process costs your team unnecessary time every day?

A worthwhile AI project does not start with a model or a tool. It starts with a concrete problem. Let us look together at where a sensible first step sits.

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