AI Transparency & Responsible AI Statement

Taktmind · Engineering Continuous Improvement.

1. Our Commitment to Responsible AI

At Taktmind, we believe artificial intelligence should strengthen engineering expertise, support better decision-making and help manufacturers continuously improve their operations.

Our vision is to make industrial improvement more intelligent, connected and evidence-driven.

We develop technologies that combine manufacturing knowledge, industrial data, engineering methods and artificial intelligence to help organisations identify opportunities, understand processes and optimise performance.

We are committed to developing and deploying AI responsibly, with appropriate attention to transparency, reliability, security, privacy and human oversight.

AI should support the people responsible for manufacturing operations—not obscure how decisions are made or remove necessary engineering accountability.

2. How Taktmind Uses AI

Taktmind develops technologies to support industrial continuous improvement, process analysis and optimisation.

Depending on the product, configuration and application, our technologies may use statistical methods, machine learning, optimisation algorithms and other AI-enabled techniques.

Potential applications include:

• Analysing manufacturing process data to identify relationships and improvement opportunities;
• Supporting the design and evaluation of engineering experiments;
• Recommending process parameters and operating conditions;
• Exploring trade-offs between quality, efficiency, productivity and resource consumption;
• Supporting interpretation of industrial measurements and operational performance;
• Assisting engineers in evaluating alternative improvement strategies.

Not every Taktmind function uses artificial intelligence. Some functions rely on conventional software, engineering calculations, statistical analysis, predefined rules or human-entered information.

We aim to describe the role of AI accurately and distinguish AI-enabled capabilities from other software functionality.

3. Human Oversight and Engineering Accountability

Manufacturing decisions can affect product quality, equipment performance, workplace safety, environmental outcomes and operational continuity.

For this reason, Taktmind believes that AI-supported recommendations should be evaluated within the appropriate engineering and operational context.

AI-generated insights or optimisation recommendations should not automatically be treated as validated operating instructions.

Before implementing changes, users should consider:

• Applicable engineering standards and procedures;
• Equipment and material limitations;
• Process safety and operational risks;
• Quality and regulatory requirements;
• The suitability and completeness of available data;
• Appropriate testing, validation and approval processes.

The level of human review required should reflect the risk and significance of the application.

Where Taktmind technologies are integrated with industrial control systems, any automated action must be governed by the agreed system design, technical safeguards and operational responsibilities.

4. Accuracy, Reliability and Limitations

AI and statistical models depend on their design, assumptions, training or reference data, input quality and operating context.

Outputs may be affected by:

• Missing, inaccurate or unrepresentative data;
• Changes in manufacturing conditions;
• Sensor faults or measurement uncertainty;
• Unmodelled process interactions;
• Differences between experimental and production conditions;
• Limitations in model generalisation;
• Constraints not represented in the analysis.

AI-generated results may therefore be incomplete, inaccurate or unsuitable for a particular application.

Taktmind encourages users to interpret outputs critically, consider uncertainty and validate recommendations before operational implementation.

We do not represent AI-generated recommendations as guarantees of manufacturing performance or outcomes.

5. Explainability and Transparency

We aim to provide users with information appropriate to the intended application and the capabilities of the relevant technology.

Depending on the product and configuration, this may include information about:

• The data used in an analysis;
• Relevant input parameters and constraints;
• The purpose of a model or optimisation;
• Assumptions and limitations;
• Experiment designs and observed results;
• Performance indicators and optimisation objectives;
• Recommended settings or operating ranges.

The degree of explanation available may vary according to the underlying method and application.

We seek to make AI-supported engineering decisions understandable and reviewable without disclosing confidential customer information or proprietary intellectual property.

6. Data Privacy and Confidentiality

Taktmind recognises that manufacturing data can be commercially sensitive and may include proprietary process parameters, production information, experimental results and confidential operational knowledge.

Some information processed by our services may also constitute personal data.

We are committed to handling personal data in accordance with applicable data protection legislation and our Privacy Policy.

Where we process personal data on behalf of customers, the applicable contractual arrangements and documented customer instructions govern that processing.

Customer industrial data is subject to the ownership, confidentiality and permitted-use provisions of the relevant customer agreements.

We do not treat access to customer data as automatic permission to use it to train AI models.

Any use of customer information for model training, product development, benchmarking or other secondary purposes must be supported by appropriate contractual permissions and, where personal data is involved, a valid lawful basis and applicable safeguards.

Further information is available in our Privacy Policy:

https://www.taktmind.ai/privacy-policy

7. Security and Protection of AI Systems

AI-enabled industrial technologies require appropriate protection of data, software, infrastructure and access.

Taktmind recognises the importance of managing risks such as:

• Unauthorised access to industrial or personal data;
• Manipulation of model inputs or outputs;
• Compromised user accounts;
• Insecure system integrations;
• Misuse of AI-generated recommendations;
• Data integrity failures;
• Unauthorised disclosure of confidential information.

We aim to apply security measures proportionate to the relevant systems, data and operational risks.

The specific security controls applicable to a service are determined by its architecture, deployment arrangements and contractual commitments.

We do not claim that any AI system is entirely free from cybersecurity or operational risk.

8. Responsible Development and Evaluation

Our approach to responsible AI is informed by the following principles:

• Purpose-driven development: AI should address a clearly defined industrial or engineering problem.
• Data quality: Data suitability, provenance, completeness and limitations should be considered.
• Technical evaluation: Models and algorithms should be evaluated using methods appropriate to their intended application.
• Human oversight: Decisions with significant operational consequences should receive appropriate human review.
• Transparency: Users should be informed when AI materially contributes to an analysis or recommendation.
• Privacy and confidentiality: Personal data and customer intellectual property should be handled in accordance with applicable law and contractual commitments.
• Continuous improvement: AI systems should be reviewed and improved as relevant evidence, requirements and operating conditions evolve.

The implementation of these principles may differ depending on the product, customer environment and intended use.

9. Fairness and Impact on People

Although Taktmind’s primary focus is industrial processes rather than decisions about individuals, manufacturing systems may contain information relating to employees or equipment operators.

Where AI processing involves personal data or may affect individuals, we recognise the importance of considering:

• Fairness and appropriate use;
• Data minimisation;
• Potential bias and unintended consequences;
• Transparency to affected individuals;
• Applicable employment and data protection obligations;
• Human review and available safeguards.

Our technologies should not be assumed suitable for employee profiling, performance evaluation or automated employment decisions without a separate assessment of the intended use, legal requirements and associated risks.

Where relevant, Taktmind and its customers must establish their respective responsibilities for such processing.

10. AI in Safety-Critical Manufacturing Environments

Manufacturing environments may include hazardous machinery, safety-related control systems, regulated production processes and other high-consequence operations.

AI-generated analysis or recommendations should not replace established safety procedures, validated engineering controls or legally required assessments.

Users should not implement AI-recommended process changes without appropriate verification and authorisation.

Any use of Taktmind technologies in safety-related or regulated applications must be evaluated against the applicable technical, contractual and regulatory requirements.

Unless expressly specified in an applicable agreement and supported by appropriate evidence, information presented through Taktmind’s public website should not be interpreted as certification that a product is suitable for safety-critical control.

11. Regulatory Compliance

Taktmind recognises that AI regulation and technical standards continue to evolve.

We aim to assess and address legal requirements applicable to our technologies, deployment models, markets and intended uses.

These may include UK data protection requirements and, where relevant, obligations under the EU AI Act and other applicable legislation.

Regulatory obligations depend on factors such as the function of an AI system, its intended purpose, the role of the organisation providing or deploying it, and the jurisdictions in which it is used.

This statement does not represent a claim that all Taktmind products have been independently certified or assessed under any particular AI regulatory framework.

12. Feedback and Concerns

We welcome appropriate questions and feedback regarding the responsible use of AI in our technologies.

If you have a concern about an AI-generated output, data handling, potential misuse or another responsible AI matter, please contact:

Please avoid including passwords, confidential manufacturing data or unnecessary personal information in an initial enquiry.

Where relevant, we may request further information through an appropriate secure communication channel.

13. Updates to This Statement

We may revise this statement to reflect developments in our technologies, governance practices, legal requirements and understanding of responsible AI.

The latest version will be published on our website with an updated revision date.