From Engineering Improvements to Protected Reuse: AI Supported IP Management with Max Feucker

Engineering projects generate knowledge that can create value across many future applications. In this examination case, the challenge is to identify promising improvements, choose appropriate protection and establish the conditions for commercially meaningful reuse without slowing project delivery. This proposed model solution, developed with Max Feucker, connects AI-supported identification with accountable business and IP decisions. Its Reuse Readiness Test examines evidence, value, rights, protection and release to determine which developments can become reusable industrial capabilities. Building on the CEIPI lecture, the approach translates the case’s central question into a structured decision process, supported by a pilot, defined review criteria and clear responsibilities.

I. Starting point and central IP question

In this case, we see a combination of mechanical engineering, automation, process knowledge and industrial data. Innovations emerge in development, customer projects, commissioning and service. Their value can extend beyond the original contract to support other plants, modernisation projects or digital services. The strategic development task is to turn this project knowledge into a reusable technology base.

Thomas Wicker’s practical question calls for a lightweight, AI-supported process for identification, evaluation, decision-making, protection and reuse. The company’s own core technology, customer-specific adaptations and joint developments must remain distinguishable. Open interfaces and rapid project delivery are central constraints.

Original case: Practical Question: AI Supported IP Management in Industrial Engineering with Thomas Wicker

This model solution focuses on the transition from an identified innovation candidate to approved reuse. Technical transferability, commercial reach, protectability and contractual availability are initially uncertain. Internal contracts, budgets and systems have not been examined; the processes and examples below are proposed design choices.

Strategic guiding question: How can a company decide, with limited additional effort, which project results should enter subsequent projects as protected, legally usable and technically validated modules?

II. Proposed approach Engineer the Reuse Decision

A compnay should make every significant engineering improvement pass a proportionate reuse decision that connects evidence, business value, protection and permissions.

The proposed economic purpose of the IP process is to make investment in a technical improvement productive across several applications. This intended use provides the rationale for additional patent assessment or documentation. A commercially important individual solution must also retain a route to a protection decision, even if it cannot yet be assigned to a reuse program.

The core model is the Reuse Readiness Test, with five dimensions: Evidence, Value, Rights, Protection and Release. It adds verifiable decision requirements to the case’s five process stages. A shared candidate record follows the solution from the first indication to module release. Evidence and responsibilities therefore remain available in one place.

This perspective is an editorial inference from Max Feucker’s public positioning. His digital IP Lexicon dIPlex focus on IP Process Management, together with the transparent digital collaboration and regular strategic discussions described on his firm’s website, supports an operational model with short decision paths. The instrument developed here is not a method published by him.

Further Reading: The lecture connects AI assistance with human accountability and approved reuse. The proposed test makes this connection operational through documented requirements for the next use.

👉 AI Supported IP Management in Industrial Engineering

III. Application to the value creation architecture

For mechanical designs, the candidate record should describe the customer benefit of a modification and its transferability to other machine sizes. An assembly that is easier to maintain could create value in new-machine and spare-parts business for many years. Visibility in the delivered product increases the need to assess patent protection; supplier drawings and customer-specific installation spaces may constrain the available design options.

For automation software, a technical control function may provide differentiation. Its benefit must be reproducible under defined operating conditions. A function that can be generalised receives its own version, with customer-specific settings and supplied libraries remaining traceable. For rapidly changing software, the assessment should establish whether the technical function will remain relevant beyond one implementation.

For process parameters and commissioning knowledge, the application context determines value. A parameter set without information on materials, sensors and operating limits may be unusable in a subsequent project. Experienced engineers must therefore add the knowledge required for safe application. The proposed protection combines documented confidentiality measures with controlled access for the teams performing the work.

Industrial data can improve diagnostics and service. Transfer between customer projects requires a review of data provenance, intended purpose and permissions. Derived models must also be examined for confidential customer information that they may contain or reveal. The customer relationship therefore becomes part of the commercial assessment of a digital module.

Further Reading: The Research Nugget explains how companies identify, mobilise and adapt capabilities as conditions change. For the company, this perspective supports the deliberate transfer of individual project solutions into a continuously maintained technology base.

👉 David Teece’s Dynamic Capabilities

IV. Operational decision model

The Reuse Readiness Test is embedded in existing change and release workflows. AI prepares a draft with source references, version information, contributors, the presumed technical effect and open questions. Technical similarity initially supports a cluster; it establishes neither a single invention nor a shared rights position. A responsible engineer confirms that the items belong together technically.

• Evidence: Which verifiable change produces which technical effect? If evidence or a technical contact is missing, the candidate is returned with a specific verification task. An effect suggested by AI remains unconfirmed.
• Value: Which customer benefit justifies the next investment of effort? The business owner identifies a subsequent project, a platform function or a justified strategic option. Benefits and generalisation costs are estimated as ranges; limited reuse does not rule out protection of an important individual solution.
• Rights: Which contributions and permissions are available? The review covers existing company inputs, customer and supplier contributions, employee contributions, software licences and data rights. Unresolved permissions block the affected use until they are clarified.
• Protection: Which measure preserves the commercial advantage? The IP expert assesses patent options, confidentiality and complementary measures. A patent decision examines technical protectability, disclosure, relevant markets, design-around options and realistic ways to demonstrate infringement.
• Release: Which version may be used by whom and under which conditions? A technical owner confirms testing and operating limits; the function responsible for rights confirms the permitted scope of use. The module is then released for the defined purpose.

The decision is to pursue, investigate specific gaps, defer or close with recorded reasons. Commercial priority and legal clearance remain separate fields. Imminent disclosure, a specific indication of third-party rights or an approaching contract signature triggers immediate review regardless of priority. A score must not override these restrictions.

Illustrative example: A team develops an improved control routine and wants to use it in a second plant project. Test records support its effect, and a business owner confirms the subsequent application. However, the review finds that a supplier component is licensed only for the original project. The outcome is conditional progression: prepare for generalisation, extend the licence or replace and retest the component; the second use remains blocked until then. In parallel, the IP expert assesses protection of the technical function and confidentiality of the calibration knowledge.

Further Reading: The contribution explains how IP decisions connect to development and commercialisation milestones. This supports embedding the test in actual release decisions and investing progressively when information is incomplete.

👉 Milestone-Based IP Management

V. Implementation in IP management and the portfolio

A proposed 90-day pilot starts with a defined engineering area and a named process owner. During the first 30 days, engineering and IP jointly select suitable completed cases and ongoing changes. They define mandatory fields, roles and authorised data sources, and establish a benchmark through manual review. AI receives access only to approved content; existing permissions also apply to the search index, summaries and outputs.

During the next 30 days, AI prepares candidates alongside existing work. Engineers validate the technology, business owners validate the benefit, and IP experts confirm the legal assessment tasks. A short weekly meeting handles cases ready for a decision. An immediate escalation route is agreed for urgent cases. Invention disclosures and required employment-related procedures remain separately traceable; an automated indication does not replace these steps.

By day 90, at least one suitable candidate should complete the entire chain through the defined module release. Actual subsequent use is documented where the project schedule permits. Otherwise, the impact of reuse remains unproven. The next stage of expansion depends on data quality, review effort and decisions that support commercially useful outcomes.

The portfolio is structured around reusable functions. Each entry links the technical version, patent families, know-how documentation, rights conditions and responsible business owner. Market demand, useful life and alternatives are reassessed before foreign filings, fee decisions or substantial generalisation work. Protection costs, technical preparation and rights clearance receive a jointly justified budget. Management can see which future offerings each function enables.

Further Reading: The contribution connects scalable IP processes with cost control, development speed and better growth decisions. It develops the rationale for linking the pilot, the portfolio of functions and progressive budget approval.

👉 Why is IP process optimization important for growing companies?

VI. Strategic development

Every release applies to a defined scope of use. New destination countries, additional customer sectors, changed software dependencies or external commercialisation trigger a fresh rights and risk review. A positive assessment of the company’s own patent option does not resolve the question of third-party rights. Freedom to Operate is therefore assessed for a specific function, product version, set of countries and review date, and updated after material changes.

Open interfaces are designed with a clear separation between the interface specification, replaceable implementation and confidential operating knowledge. Standards and platforms require examination of licence terms, technical access rules and potential dependencies on IP rights. Before changing platform provider, the owner investigates whether code, data and the necessary rights can actually be transferred.

If an internal module becomes a commercially offered digital service, service agreements, data use, update permissions and commercial protection priorities need reassessment. Declining value or more readily available alternatives may justify reduced investment in protection. If a new customer project opens another application path, the existing benefit hypothesis is expanded and supported with additional evidence.

Further Reading: The contribution connects IP processes with Freedom to Operate, competitor monitoring and commercial use. This supports the proposed repeat assessments when markets, platforms and business models change.

👉 How can optimized IP processes help to reduce IP risks and improve IP usage?

VII. Practical decision overview

The following overview presents hypothetical application categories for the pilot. The measures are options to assess; they make no statement about existing IP rights or contractual terms.

The protection architecture follows the components of each function. Patent publication must be coordinated with the intended confidentiality arrangements. Copyright positions in the code, contractual rights and technical access controls are specifically documented. No blanket ownership or exclusive right is assumed for raw data; the applicable rights and permissions govern its use.

Further Reading: The Research Nugget explains how different protection instruments work together. It supports the overview’s premise that each technical function needs a combination of rights and controls suited to its components.

👉 The Power of Layered IP

VIII. Governance and continuous review

The process owner monitors turnaround times and outstanding decisions. Technical owners maintain modules and operating limits; business owners are accountable for benefit assumptions and budgets. IP experts address protection and third-party rights, while the relevant contracts function clarifies permissions. IT is responsible for access permissions, logging and the agreed conditions for AI processing. Where conflicts arise, a named manager decides on resources and next steps within legal constraints.

A quarterly review compares validated candidates, relevant solutions missed in a manually reviewed sample, processing time and reuse instances actually approved. It also records demonstrated engineering savings and unexpected rights obstacles. Targets are set after pilot measurement. Model changes, altered data sources or conspicuous assessment errors trigger renewed quality review. Business-critical information may be processed only under reviewed confidentiality, retention and training conditions.

Further Reading: The contribution places invention capture and other IP activities within a connected set of business processes. It supports the proposed allocation of responsibilities and regular review of the entire decision chain.

👉 What are the most important IP processes in a company?

Outcome

Engineer the Reuse Decision directs the limited attention of engineering, management and IP to commercially important transitions. Evidence, Value, Rights, Protection and Release make the unresolved requirements for the next use visible. The pilot connects these questions to existing workflows and a maintained portfolio of functions. Expected outcomes include better justified protection investments, less duplicate development work and more reliable scaling of project knowledge; these effects must be verified in operation.

Which engineering improvements should a company qualify, protect and clear today to make the next customer project faster and more valuable?

Expert Profile: Max Feucker

Max Feucker is a patent attorney with a background in physics and Managing Director of dipas Patentanwalts GmbH, operating under the Patentstrategen brand in Ratingen, Germany. He advises small and medium-sized businesses, with a particular focus on manufacturing companies, on protecting technical innovations and aligning IP activities with commercial priorities. His work addresses the organisational realities of businesses where engineers and managers handle intellectual property alongside development, production and other responsibilities. His expertise encompasses strategic patent advice, invention disclosure processes, employee training, competitor monitoring and digital access to IP information. Through structured communication and regular strategic discussions, he helps companies connect protection decisions with their products, business models and available resources. This combination of technical understanding and attention to practical workflows is particularly relevant to industrial engineering, where valuable improvements arise throughout development, commissioning and service.

On the IPBA platform’s digital IP lexicon, dIPlex, Feucker is the featured expert for IP Process Management. The associated content examines how companies can organise invention capture, protection, portfolio development and the commercial use of intellectual assets within a coherent management process. Topics include the most important IP processes in a company, process optimisation for growing companies and reducing IP risks while improving IP usage. These contributions provide a relevant foundation for the present model solution: technical improvements need clear documentation, commercial context and defined responsibilities before informed protection and reuse decisions can follow. The complementary content on digital tools for more efficient IP work explores centralised information, cost transparency, reporting and consistent workflows. Together, these topics support an approach in which the quality of information and the organisation of decisions receive sustained attention.

Feucker’s platform content is also featured in episode #62 of 🎧 IP Management Voice, “IP Process Management Essentials”. The episode connects process optimisation with risk reduction, strategic IP use and the contribution of digital tools to efficient, transparent operations. This perspective carries directly into “From Engineering Improvements to Protected Reuse”.