AI & Business Innovation

Create business value with AI.
Develop new customer solutions.

DEFLORIN Business Mechanics assesses the business value of AI and develops digital services and business models with customers and partners. Martin Deflorin personally leads the assessment and agreed implementation.

Where would you like to start?

AI within your business

AI Use Case Check

DBM assesses the business value and feasibility of one selected AI use case.

  1. 01
    Use case

    Value hypothesis, baseline and measurable target.

  2. 02
    Prerequisites

    Data, usage rights, process, skills and responsibility.

  3. 03
    Pilot plan

    Approach, effort and criteria for continuing or stopping.

Discuss AI use case check

New customer solutions

Business Model Check

DBM shapes a customer solution with complementary services and suitable partners.

  1. 01
    Customer solution

    Target customer, specific problem, value and assumptions to test.

  2. 02
    Business model

    Partner roles, data rights and initial cost and revenue assumptions.

  3. 03
    Customer test plan

    Test questions, owners and measurable decision criteria.

Discuss business model check

Your outcome: a decision basis for a pilot or customer test. Running and evaluating the test, and subsequent implementation, are agreed separately. Scope, timing and fees are agreed before work starts.

Operations, Quality, R&D, Sales and After Sales: Detect quality deviations earlier, find engineering knowledge faster and prepare quotations and service visits more effectively.

ILLUSTRATIVE EXAMPLE · NOT A CASE STUDY

AI in technical customer support.

Example idea: a knowledge assistant helps staff find answers faster in approved machine and service documents.

View an illustrative decision basis
Value hypothesis
Less time spent searching during service enquiries. Measure against current search time and answers reviewed by specialists.
Prerequisites
Clarify document quality, access rights and specialist review of answers.
Pilot plan
One machine type and a defined set of questions. Continue, adapt or stop against criteria agreed in advance.

Illustrative structure. Not a customer project or a measured AI result.

BUSINESS MODEL CANVAS · ECOSYSTEM PERSPECTIVE

Which customer problems could you solve better with AI, data and complementary services?

The canvas shows which services, capabilities and partners can turn an idea into a viable offering.

Select a field or browse the questions.

Value propositions

Which customer problem do your services and those of your partners solve better together?

Value propositions5 / 9

Business Model Canvas: © Strategyzer AG · Strategyzer.com
DBM adaptation: ecosystem questions and interactive layout. Icons: Lucide.

In practice · IoT service business

From connected machines to a service business.

Built a digital service offering with connected machines and a subscription model. Remote support and operating data connected customer value with After Sales and R&D.

Role of Martin Deflorin: Project lead for digital business development. Brought customer needs, business model, technology partners and rollout together.

View the case study →

Lead commercially. Build your own capabilities.

DBM connects the business decision with the agreed implementation. Internal management capability, partner roles and responsibility for integration and operation are clarified before a pilot starts.

Where should AI or new services strengthen your business?

Talk to us