A customised AI strategy
Participants define AI objectives, assess readiness and identify the right AI solutions for their business.
Executive workshop · One day
AI for Business Leaders: a one-day workshop on AI strategy
A workshop that gives business leaders a clear understanding of the fundamentals of AI and how it can benefit their organisation. Over one day, participants move from what AI is to a strategy, an implementation plan and the leadership questions around responsible AI.
- Assess your organisation’s AI readiness
- Leave with a template for your AI strategy
- Learn from real successes and failures
- 57% of our team hold a PhD
- German company, working under the GDPR
Discuss your project
5.0 18 reviews on Clutch Go Global Awards winner
Trusted by enterprises, scale-ups and non-profits
What you gain
What leaders leave with
One day (7.5 hours), 5 to 15 participants, taught in English.
A plan to implement it
Best practices for implementation, change management, stakeholder buy-in, upskilling employees and measuring impact.
A view on responsible AI
The ethical implications of AI and the role business leaders play in ensuring it is built and used responsibly.
What we deliver
Workshop agenda
Six sessions in a classroom setting, mixing presentations, interactive discussions and group activities.
- 01
Session 1: Introduction to AI (1 hour)
What AI is, the types of AI, and its benefits and challenges.
- 02
Session 2: AI strategy development (2 hours)
Assessing your organisation’s AI readiness, defining AI objectives and goals, developing a customised AI strategy and identifying the right AI solutions.
- 03
Session 3: Ethics and AI (1 hour)
The ethical implications of AI, building AI responsibly and the role of business leaders in ensuring ethical practice.
- 04
Session 4: Implementing AI (2 hours)
Best practices for implementation, managing change and stakeholder buy-in, training and upskilling employees, and measuring AI impact.
- 05
Session 5: AI case studies (1 hour)
Real-world examples of successful AI implementation, lessons from AI failures and group discussion on applying AI to your business problems.
- 06
Session 6: Conclusion (30 minutes)
A recap of the key takeaways and a Q&A session with AI experts.
Not sure which of these you need? Describe the problem and we will recommend the approach.
Discuss your projectCase studies
All case studiesResults we delivered for our clients
Professional Services · Generative AI, NLP
Custom LLM chatbot with document references for a consulting firm
In-house LLMno reliance on third-party LLM services
A private, hosted chatbot built on a custom large language model, giving a consulting firm answers with source references while keeping full control over its data.
Read the case study
Player churn prediction for an online gaming platform
11.3% churn rate after new retention strategies
A machine learning model that learns player behaviour during the game and predicts the probability of churn over a given time horizon, so the platform can apply the most relevant retention strategy.
Credit scoring model for an SME lending company
800+ features from 14 data sources
A machine learning model that predicts borrower default and fully automates underwriting, improving loan portfolio quality and cutting decision time from hours to a fraction of a minute.
Social media analytics for a bank’s marketing activities
Lower churn most at-risk clients retained, per client feedback
An interactive tool that analyses social media data to reveal audience interests, social group affiliation and demographics, so a bank can target offers that build loyalty and reduce churn.
Why AI Superior
Research-grade AI, delivered like a product company
Many vendors can build a demo. Making AI work reliably on real data, inside real business processes, is the hard part, and it needs a different kind of team.
01
A research-led team
AI Superior was founded in 2019 by AI researchers with published papers and patents, and the whole team works to that research standard.
- PhD57%
- MSc28%
- BSc15%
02
Built to reach production
Every project is de-risked in stages, with a go/no-go decision at each milestone, so budget only goes into approaches that have worked on your data.
4× our proof-of-concept success rate compared with the market average
03
A complete team from day one
Strategy, models and software are designed by one team, so nothing gets lost in hand-overs between vendors.
- Product AI product owner, business analyst, project manager
- Data Data scientists, ML engineers, BI analyst
- Development Software engineers, QA, DevOps
04
Your data stays under control
When data must not leave your organisation, we build on private, self-hosted models instead of third-party AI services.
- GDPR, German company
- Self-hosted LLMs
- Transparent methods
Our team
The experts behind your project
Your project is led by senior data scientists and engineers with research backgrounds, supported by our product and development teams.
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Dr. Sergey Sukhanov Chief Data Scientist PhD in Machine Learning, data scientist since 2013. Publications, patents and 30+ implemented AI use cases; several IEEE awards.
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Dr. Ivan Tankoyeu Chief Data Officer PhD in Computer Science. Recognised by the IEEE GRSS Society, winner of the Global AI Hackathon 2017, Kaggle TOP500 data scientist (2014).
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Sergio Frayle, M.Sc. Lead Data Scientist Master’s in AI, Pattern Recognition and Digital Imaging; 7+ years in image processing and computer vision, with publications.
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Enrique Fernández, M.Sc. Senior ML Expert Master’s in Robotics and Mechatronics; builds and deploys complex AI solutions, particularly in computer vision and NLP.
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Peter Luck, M.Sc. AI Consultant Master’s in Business Engineering and Computer Science; product and project manager for machine-learning products.
Client reviews
5.0 Rated 5.0 by the people we build for
18 verified reviews on Clutch
“I appreciate their approach, expertise, and the quality of information they provide.”
AI and machine learning consulting to identify the right use cases for a web design and graphics company.
“They are not only great theoretical experts, but also deliver with their awesome hands-on skills.”
“I would be more than happy to speak to anyone about how much of a rock star you guys are.”
How we work
A staged AI project life cycle
Every stage ends with a result you can check, and you decide on the next one only after seeing the previous one work. You keep control of scope and budget.
- Estimate before you commitYou see scope and expected results before the build begins.
- Go/no-go after every stageEach stage ends with a result you can check and a decision on the next step.
- Risks reported openlyWe share risks and opportunities as soon as the analysis shows them.
- Go / no-go decision
Discovery
We work through the business problem with your team and define the direction of the solution.
You get: Scope, approach and a high-level estimate of effort and expected results
- Go / no-go decision
Data and feasibility
We get to know your team and data and check whether AI is the right tool for this problem.
You get: A data assessment and a clear feasibility verdict before any build starts
- Go / no-go decision
Proof of concept / MVP
We start small, using the data already available, to test the solution in practice.
You get: Measured results on your own data and a basis for the investment decision
- Go / no-go decision
Integration and scaling
We integrate the solution into your existing systems, fine-tune the models and adjust them where needed.
You get: A solution running inside your processes, compatible with your data and systems
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Evaluation
We review the results with you and make sure they are read correctly.
You get: What the solution delivered and where to improve next
Awards and recognition
Ranked among the top AI companies
Recognised by international business awards and by independent B2B platforms that rank companies on verified client reviews.
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Go Global Awards Winner 2021 · International Trade Council -
Best Data Science & AI Service Provider, Europe 2021 · German Business Awards -
Top Artificial Intelligence Company 2023 · Clutch -
Top Machine Learning Company 2023 · Clutch -
Clutch Champion Fall 2023 · Clutch -
Clutch Global Fall 2023 · Clutch -
Top BI & Big Data Company Germany 2023 · Clutch -
Top IT Services Company Germany 2023 · Clutch -
Top Artificial Intelligence Companies 2023 · TrueFirms -
Top Machine Learning Companies 2021 · Techreviewer -
Most Reviewed IT Services Companies Germany · The Manifest
Who is this workshop for?
Executives and business leaders who need to understand AI well enough to set strategy and make informed decisions for their organisation. It is not a technical course.
Are there any prerequisites?
No technical prerequisites. Participants should have a basic understanding of their organisation’s business objectives and challenges, as the strategy sessions build on them.
How long is the workshop and how many people can attend?
It runs for one day, 7.5 hours in total, for groups of 5 to 15 participants. It is taught in English.
How is it delivered?
In a classroom-style setting with a mix of presentations, interactive discussions and group activities, led by experienced AI experts with extensive business knowledge.
What materials do participants receive?
A workshop guide, a template for developing an AI strategy, and access to additional resources and tools for implementing AI.
What if our teams need deeper, hands-on skills?
This workshop focuses on leadership and strategy. For technical and hands-on skills, we offer tailored AI training programmes for your teams.
Start your project
Tell us what you want AI to do for your business
Share a few details and our AI team will take it from there. Here is what happens next:
- We review your request and reply by email.
- A call with an AI expert to understand your problem, data and goals.
- A clear recommendation: the approach we suggest and a high-level estimate.
Prefer to pick a time yourself?
Schedule a call