Branding & Digital Intelligence Pioneer Platform and brand designer for the digital world
Founder & CEO, ETHORITY AI Transformation Architect
I help leaders decide where AI is worth using, test it in real work and measure the difference.
Career
Today I lead every ETHORITY project personally and bring in the specialists it needs, from the business question through implementation to running operations.
Why is AI a leadership task?
“Because it can change goals, work, services and business models.”
He has mapped technology markets since 2009 – today 961 AI offerings in the Good AI Prism.
He founded software platforms such as Gridpatrol and today designs AI systems that run in production.
Projects for BMW, Deutsche Telekom, Disney, Daimler and the ECB: he knows boards, procurement and scale.
He leads every project himself and brings in the right specialists from his network.
For the new era
AI is changing goals, work, services and business models. Budgets are growing, rules are taking effect and the range of offerings is hard to follow. With ETHORITY I help you find the right AI, build a sound business case and put it to work responsibly: from a free first conversation to a six-week pilot.
Why now
Free
By video with Sten Franke, about your question
€195 net · one-time
The right AI offering, with source and check date
€495 net · one-time
One objective, a 30/60/90-day roadmap
€4,500 net · one-time
One AI system, ten working days
€25,000 net · one-time
Six weeks, one use case
Priced after scoping
A business case before you invest
Principles
Ten principles
For me, keeping the whole in view means judging value, people and the ability to act together. That is where these ten convictions on people and AI come from. I want to develop them further with others.
Sten Franke · Founder & CEO · AI Transformation Architect · November 2026
Selected projects
Since 23 Oct 2026
961 AI offerings in 24 topic areas, each with its source and the date it was read.
27 Oct 2026
Nine in ten organisations surveyed use AI; 37 % see an effect on profit.
2009–2025
The social web on one page, from version 1.0 in 2009 to 8.1 in 2025. The interactive app is in development.
From 1997
International search marketing from 1997 and early internet monitoring from 2001, including work for Lufthansa and Aldi.
Press & talks
A selection from the archive, newest first. Current press material is in the ETHORITY newsroom.
An example
An AI assistant drafts answers to customer requests. The useful number is the time saved after quality checks and rework, not the speed of the first draft. So we measure how many cases stay solved, how much time goes into corrections and how often customers have to ask again.
Evidence · Good AI Prism
ETHORITY's Good AI Prism maps 961 AI offerings in 24 topic areas, each with a source and a date. For customer service, the market study reviewed what 107 entries disclose on their own public pages.
Prices follow at least seven different models, including per resolved case, per seat and per minute, as well as quote-only offers.
Source: Good AI Prism Market Study 2026/27, Global edition v2.6, 27 Oct 2026, pp. 54–55. Vendor information checked 19–20 Oct 2026. The 107 are entries in the research set, not a count of distinct products.
An AI decision should say what we expect to improve, what evidence supports the choice and who is accountable for the result. That is where putting AI to work begins.
Work with Sten
A first conversation is about your decision. Three things help:
What do you have to decide, and by when?
Who works with the result, who is responsible and who has to be heard?
What should be better afterwards, and how would you notice?
Regular sessions while you prepare and take AI decisions.
One session with your leadership team on one decision: options, evidence, risks and who decides.
We agree the scope together: a baseline, a limited test and the decision that follows.
Where a project needs research, software or a team, ETHORITY delivers it.
Challenges
Each test starts with what should improve for the people affected and ends with a decision. All three are proposed tests.
Proposed test Customer service
We would measure Cases that stay solved · rework time · repeat contacts
Proposed test Public services
We would measure Correct answers · time to reach a responsible person · time to correction
Proposed test Energy
We would measure Energy per verified result · quality threshold · limits of measurement
Data centres used around 485 TWh of electricity worldwide in 2025 (IEA estimate). IEA
How I work
A worked example from customer service.
Customers ask again because answers are incomplete. The team spends time correcting them.
Reopen rate, rework time and complaint reasons from recent weeks, plus what vendors disclose about price and hosting.
One request type, one team, an AI assistant that drafts answers and a person who checks each one.
The head of service decides, using a threshold agreed before the test.
Expand to the next request type, change the set-up or stop.
I call this way of organising research, tests and decisions STEN OS. Every engagement follows it.
Through the years
Stages, offices and the people along the way, from the early 2000s to today.
Read the full story
Find Sten Franke
Follow Sten Franke on LinkedIn and read the work behind him on the ETHORITY sites. Each address keeps one part of the story.
Tell me what you have to decide, who is affected and what a good result would look like.