Innovation Leverage Talent Assessment System (ILTAS)
Is it possible to predict an employee's IP and patent potential?
The patented algorithms of the ILTAS system uses ground-breaking to identify the cognitive processes and behavior traits most connected to innovation.
59%
Reduction in training costs due to decaying skills misidentification
100%
Cheat proof generative platform to ensure reliable results
85%
Platform accuracy in predicting shifts in AI innovation skill trends
Innovation Leverage Talent Assessment System (ILTAS)
The Science of Innovation
Future Casting
We analyze millions of global patent filings and published research in real-time to correlate successful intellectual property (IP) creation with specific cognitive and behavioral traits. ILTAS then uses this data to scientifically measure and predict your team's potential for generating tomorrow's innovation.
Patent Volume
Patent Velocity
IP is not an accident. Innovative thinking leads to innovation
Our patented algorithms identify patterned thinking, which when combined with specific skills and life experiences lead to disproportionate innovation for a specific role / industry. ILTAS helps optimize R&D staffing composition.
Foundational Skills (Constantly Decaying)
Specialized Skills (Constantly Decaying)
Behavioral Traits
Ipsative Scoring
Questions are aligned to research standards and use the ipsative method (forced choice). The assessment applies positive and negative correlated questions to drive validity.
Traits Linked to Research
Machine Leadership has researched the traits of leading AI innovators, data scientists, and ethical AI specialists, to identify the key markers which enable peak performance.
Domain Specific
The assessment applies context to the Leadership Traits by evaluating results against benchmarks within the AI Domain and the participant's current and targeted job role.
Predictive Matching
Traits are matched against roles and our global benchmarking database to determine which positions would be an ideal fit for a particular candidate.
Cognitive Processes
Cheat Proof - Generative AI Assessment
The ILTAS is a dynamic assessment that uses Generative AI to adapt questions based on job role, cognitive process, language, demographics, and region - eliminating cheating.
Creativity
Creativity is measured using a proprietary scoring method for multiple categories such as imagination, brainstorming, divergent and convergent thinking, and abstract reasoning.
Memory and Spatial Intelligence
Competencies such as fluid intelligence, wayfinding, distance, depth, rotation, and folding are tested using innovative methods that align closely with AI specific tasks.
Innovation Leverage (IL) Score
Our patented formula predicts innovation potential by industry, job role, and AI/ML topic using millions of data points across public and proprietary databases.
Innovation Leverage Talent Assessment System (ILTAS)
Is it possible to predict an employee's IP and patent potential?
We utilize a Generative AI-powered assessment that links an individual's specific cognitive and behavioral traits to real-time global patent contribution data, ensuring talent is measured and optimized for future IP-generating roles.
MM+
Millions of IP related content is evaluated to track innovation
32
Marker trait combinations that are linked to innovation
120+
Match scores based on job profile, AI/ML topic and IP trends
Take our free assessment to experience the unique questions
The Innovation Leverage Talent Assessment (ILTAS) is the secure, patented data pipeline that generates the Innovation Leverage (IL) Score used for the Composite AFI Competency score. The assessment’s LLM Engine dynamically adjusts questions based on job role and industry, generating high-fidelity inputs that traditional HRIS systems and talent assessment vendors cannot replicate.
The output is a secured, aggregated data feed that updates the enterprise's score for the AI Competencies variable in the AFI dashboard, providing the critical data point needed to calculate and validate the scaling constant.
The Future of AI Survey
This questionnaire is available for all consumers and can be completed digitally. This is the first time participants are introduced to our algorithm "Neural" and learn where they fit on The AI Innovation Frontier. The questionnaire is used for initial coaching sessions. However, it is NOT scored as part of the MLTA assessment.
10-15 Minutes
(Free to Take)
45-60 Minutes
(Includes Feedback Report)
The Innovation Leverage Talent Assessment (ILTAS)
This assessment is administered to Machine Leadership corporate clients and members using live proctoring. The reason is to ensure the testing protocols, feedback report, and coaching plan maintain the highest standards. Schedule your assessment integration with your AFI pilot.
Participate in AFI Index Research
Global Research Study
“What traits, skills and behaviors enable leaders to succeed in the Age of AI?”
We’re looking for motivated AI engineers, data science professionals, university teachers of AI, advanced students of AI, HR professionals working with AI teams, and other leaders who interact with technically-oriented teams.
As a volunteer research participant, you will:
Take part in three assessment sessions:
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A live, online, proctored session measuring cognitive processes (working memory, creativity, spatial intelligence).
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A remote, computer-based session measuring leadership traits (openness, persistence, maturity, ethics, among others).
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A remote, computer-based session assessing AI readiness and strategy (focusing on your approach to AI adoption such as machine autonomy, trust, and AI competencies.
Participants will earn the following:
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Receive a detailed feedback & development report based on your results.
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Earn a certificate of participation.
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Receive a global benchmarking rating—how you compare against other participants worldwide.
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Potential for recognition: top performers in the study will be publicly acknowledged.
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Contribute to a study that will be reviewed by our global Editorial Board and published in the Machine Leadership Journal (peer-reviewed) in line with our research guidelines.
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Participate securely and confidentially: data will be handled under strict ethical research and data-privacy standards (including GDPR, CCPA, Texas Data Privacy Act) as per our guidelines.
What We’re Looking For
Ideal participants will meet the following criteria:
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Open to technical and non-technical participants - the assessment dynamically adjusts based on role.
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Strong passion for AI - the assessment experience will be enjoyable for participants that have an interest in AI use cases, emerging technologies, AI agents, and the role of AI in the future workplace.
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Professionals, academics or advanced students working in or with AI, data science, machine learning, or related fields.
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Exposure to AI use cases such as Computer Vision, Robotics, Generative AI, LLMs, and/or industry specific AI/ML challenges. This includes leaders responsible for adopting AI within their organizations.
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HR professionals or leaders who engage with technical/AI teams.
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Comfortable committing to three sessions (one live proctored plus two remote).
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Available to complete the sessions within our study window (to be scheduled).
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Willing to provide consent for anonymised data usage in our research benchmarking.
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Interested in receiving personal insights into your cognitive and leadership profile and participating in shaping the future of AI.
Why Participate?
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Gain insights into your cognitive, leadership and AI readiness profile—valuable for your personal development.
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Receive a professional certificate and global rating—a useful credential to highlight on LinkedIn or your resume.
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Be part of pioneering research: contribute to understanding how leaders can succeed in an AI-enabled world
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No cost, no remuneration required—volunteer contribution with professional & scholarly benefit.
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Network opportunities: top performers may receive recognition and future engagement opportunities.
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Top performers will be recognized by the Machine Leadership Journal.
Additional Notes
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The study is strictly voluntary and unpaid.
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Your data will be anonymized in any aggregated reporting, and personal identifiers will be protected.
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The three sessions are designed to be completed within a ~2-4 week window (subject to scheduling convenience, which can be done remotely from anywhere in the world).
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Once all sessions are complete you will receive your report, certificate and benchmarking rating.
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The results of the study may be published in the Machine Leadership Journal and may form the basis for development programs for organizations preparing leaders for AI innovation and adoption.