AI Product Management

BUILD AND SCALE 

AI-POWERED SERVICES 

Orchestrate business, data science, and IT

in the right way to successfully run your AI initiative

 
 

MANAGING AI PRODUCTS AND SERVICES

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STAKEHOLDER

SATISFACTION

VALUE

CENTRICITY

SCALABLE

INFRASTRUCTURE

  • Translation between domain experts, IT and data specialists

  • Effective time and budget management

  • Continuous progress tracking

  • Clear proof-of-value

  • End-user acceptance testing

  • Benefit quantification

  • Potential substitute analysis

  • Complexity reduction

  • Flexible and efficient IT architecture

  • Clear oversight of unit economics

  • Sufficient maintenance capacity 

 

Success depends on the ability to incorporate tech, talent and continuous learning into the business

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KEY PRINCIPLES

Organization

  • Ensure the problem-solution-fit and measurable progress

  • Translate between business, technology and domain experts

  • Drive internal and external marketing activities to ensure long-term stakeholder support
     

Value

  • The value of AI is its supportive function to make better decisions or automate tasks entirely

  • Actual value generation depends solely on the acceptance of the (internal or external) beneficiary

  • Requirements and functionalities need to be closely aligned with domain experts 
     

Data

  • Algorithms are just tools and depend ultimately on the data input quality

  • The engineering competence is more important than the data volume to achieve good results

  • Connecting different data sources contextually meaningful unleashes the real potential of AI
     

Infrastructure

  • Suitable infrastructure built-up is first priority before starting application development

  • Reducing complexity as much as possible is the key to larger scalability

  • All AI initiatives shall be thought of as continuously improving products with no expiry date

Contact

You are about to kick-off a new AI initiative and looking for guidance how to bring internal or external services successfully to life?

Let's discuss the most effective way

to build and scale your AI-powered application.

Tobias Bohnhoff
AI Projects Lead