Isometric rendering of a computer chip for artificial intelligence integration.

AI Strategy Consulting

Isometric rendering of a computer chip for artificial intelligence integration.

Integrating AI Strategies for Business​​

In an era where artificial intelligence is reshaping industries, organizations face both opportunities and challenges. We provide expert guidance to help businesses navigate the complexities of AI integration, ensuring they harness its full potential while mitigating risks.

Our AI consultants and technology experts work closely with clients to develop tailored AI strategies that align with business objectives, foster innovation, and promote responsible AI adoption.

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Don’t Be Left Behind in AI Adoption

Artificial Intelligence adoption is accelerating across industries, reshaping business operations and competitive strategies. Organizations that fail to integrate AI risk falling behind in an increasingly data-driven world. Our AI strategy consulting services help businesses navigate this transition effectively.

  • 99% of Fortune 500 companies have implemented AI technologies to enhance efficiency and innovation [source]
  • 40% of companies worldwide are actively utilizing AI, while another 42% are exploring its potential applications [source]
  • Only 8% of businesses have a mature AI governance program, highlighting the need for structured AI management [source]

Leverage our AI integration consulting and AI advisory services to ensure your organization stays ahead of the curve with responsible and strategic AI adoption.

AI RISK & ETHICS CONSULTING

Strategic AI Procurement Assessment

Procuring AI technologies requires a thorough risk assessment. We apply the latest frameworks from NIST and other leading agencies to evaluate potential AI solutions, helping your organization ask the right questions and adopt AI tools ethically and responsibly as part of our AI strategy services.

AI procurement is more than finding the latest and greatest tool—it’s about ensuring that the technology aligns with your organization’s needs and values. A common mistake is prioritizing hype over substance, adopting AI solutions without fully understanding their capabilities or long-term impact.

Six Critical Pitfalls To Avoid When Adopting AI
Lack of Transparency

Many AI systems function as ‘black boxes,’ making it difficult to understand how decisions are made. Without proper visibility, organizations may struggle to ensure fairness and accountability.

Regulatory Compliance Risks

AI regulations are evolving, and businesses must ensure their chosen technologies align with data protection laws, industry-specific guidelines, and emerging AI governance standards.

Bias and Ethical Concerns

If not properly evaluated, AI models can reinforce biases present in their training data, leading to unfair or discriminatory outcomes.

Security Vulnerabilities

AI tools can introduce new cybersecurity risks, such as adversarial attacks or data breaches, if they are not properly secured.

Vendor Lock-in

Choosing proprietary AI solutions without flexibility can limit future adaptability and make switching providers costly and complex.

Integration Challenges

AI solutions often need to work within existing IT ecosystems, and poor integration can lead to inefficiencies, data silos, or operational disruptions.

By identifying and addressing these risks upfront, we help organizations make informed, responsible AI procurement decisions that align with their strategic goals.

Request an AI Risk Assessment

AI READINESS CONSULTING

Evaluating AI Readiness Before You Invest

Adopting AI technologies without foundational readiness can result in failed initiatives, wasted investment, and organizational resistance. Technical limitations, skill gaps, unclear governance, or fragmented data systems often stall even the most ambitious initiatives. Before developing an AI strategy or selecting tools, it is essential to understand whether your organization is structurally and operationally prepared to implement AI effectively and responsibly.

Our AI Readiness Assessment helps organizations evaluate their preparedness across critical dimensions of data infrastructure, technical capabilities, talent, governance, and strategic alignment. This service is ideal for organizations seeking clarity before investing in AI solutions or scaling existing efforts.

We apply a tailored 4-Phase AI Readiness Framework grounded in industry best practices to evaluate your organization’s preparedness and align AI adoption with strategic goals:

Discovery

Understand your business context, objectives, and key stakeholders.

Capability Audit

Assess current data assets, technology stack, skills, and organizational culture.

Risk Profiling

Identify gaps in governance, integration risks, and potential barriers to adoption.

Strategic Roadmap

Deliver clear, actionable recommendations to guide scalable and responsible AI implementation.

Our findings are delivered in a concise, executive-friendly report designed to support strategic decision-making and cross-functional alignment.

Request an AI Readiness Assessment
Proven Expertise in Shaping AI Strategy

One of our AI consultants played a key role in shaping national AI leadership policies, contributing to President Biden’s Executive Order 14110, which defines Chief AI Officers and provides a structured playbook for their implementation.

Additionally, our expert was instrumental in hiring NASA’s first-ever Chief AI Officer, ensuring the agency’s AI initiatives are strategically aligned and effectively managed. Our real experience in AI leadership transitions can provide invaluable insight for organizations looking to integrate AI expertise at the highest levels.

Image of the US Capitol building in a isometric rendering.
AI Leadership CONSULTING

Organizational Change Management

The introduction of key AI leadership roles, such as a Chief AI Officer, can be transformative. We provide expert consulting on best practices for organizational change management, ensuring a smooth transition and successful AI integration for business leadership within your organization.

Implementing AI leadership isn’t just about appointing a new role—it’s about reshaping how an organization operates. Businesses face several challenges when learning how to hire AI experts.

Six Common Challenges When Hiring AI Leadership
Resistance to Change

Employees may be hesitant to embrace AI-driven strategies, fearing job displacement or workflow disruptions.

Undefined Roles

Without a clear roadmap, new AI leadership positions can lead to confusion regarding decision-making authority and strategic direction.

Cultural Shifts

AI adoption often requires a shift in organizational mindset, where data-driven decision-making becomes the norm.

Cross-Team Alignment

AI leadership must collaborate across technical, legal, and business teams to ensure alignment with company goals.

Scalability Concerns

Organizations must ensure AI strategies can scale effectively with business growth and technological advancements.

Training and Upskilling Needs

Employees at all levels may require AI literacy training to adapt to new workflows and expectations.

We help organizations address these challenges proactively, guiding them to implement AI leadership roles in a way that fosters innovation, efficiency, and long-term success.

Request AI Leadership Consulting

AI SYSTEMS DISCOVERY

AI Inventory of Business Technologies

Understanding where AI is already embedded in your organization’s IT infrastructure is essential. We perform comprehensive AI inventories to identify existing AI components, assess their impact, and uncover opportunities for enhancement. Our AI software experts help your organization grasp its current AI footprint and prepare for emerging risks.

Curious where AI already exists in your systems? We’ll find it.

  • Customer Relationship Management (CRM)
  • Enterprise Resource Planning (ERP)
  • Chatbots and Virtual Assistants
  • AI-Powered Cybersecurity Solutions
  • Data Analysis Platforms Utilizing ML
  • Automated Marketing Tools Leveraging AI
  • Supply-Chain Systems with AI Forecasting
  • Human Resources Platforms with AI
AI TRAINING & EDUCATION

AI Literacy Development

The terminology can be complex, but AI fluency is critical for effective deployment as it helps prevent misunderstandings, increases efficiency, and ensures compliance with industry standards.

We offer customized training sessions for administrative, technical, legal, and engineering teams, ensuring your organization speaks a common AI language. Our training promotes best practices, enabling your staff to leverage AI efficiently and responsibly.

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Meet Our Team of AI Experts

AI Consultants at Quandary Peak will help guide your organization’s AI strategy with extensive technical knowledge, industry insight, and a focus on responsible, effective AI adoption.
Chris Mattmann | Chief Data & AI Officer at UCLA
Chief Data & AI Officer, UCLA Los Angeles

Dr. Chris Mattmann, is an accomplished computer scientist and expert in AI, machine learning, and data science with over 20 years of experience. He has provided expert testimony in major AI and cybersecurity cases, including the Equifax data breach.

LitigationLitigationSenior Testifying Expert
Mahdi Eslamimehr | VP of Litigation
Executive Vice President Los Angeles

Mahdi is an award-winning computer scientist and USC professor with leadership experience at Ericsson, Samsung, SAP, Y Combinator Research, and Clarity Global. He has advised Fortune 500 firms on $5.6B in M&A deals, served as an expert witness in 100+ litigation matters, and contributes to AI governance at UCLA and Harvard Business Review.

LitigationLitigationSenior Testifying Expert
Due DiligenceArea of ExpertiseProgram Analysis
Patent ServicesPatent SpecialtiesSubject Matter Expert
Gautham Koorma | Principal Consultant
Principal Consultant Bay Area

Gautham conducts rigorous technical analysis to support expert reports and testimony in complex software-related litigation. With 10+ years of experience in digital forensics, ML, and IP strategy, he brings expertise in synthetic media detection, AI robustness, and reverse engineering to deliver actionable insights.

LitigationLitigationSource Code Analyst
Patent ServicesPatent SpecialtiesAI/ML & Gaming Engines
Isaac Pflaum | Senior Director of Software Litigation
Senior Director of Software Litigation Chicago

Isaac Pflaum is an IT litigation consultant and expert witness specializing in software source code review, patent, and copyright issues. Experienced in a wide range of technologies, he is also an attorney and registered patent agent with a background in financial services and software development.

LitigationLitigationSenior Testifying Expert
Health ITFocus AreaGovernment Contracts & Health Exchanges
Iman Sadeghi - Principal Software & Technology Consultant
Principal Software & Technology Consultant Los Angeles

Award-winning computer scientist and software engineer Dr. Iman Sadeghi specializes in delivering expert reports, declarations, and testimony as well as source code analysis for software litigation. He has been published in prestigious peer-reviewed scientific journals and conferences and brings a wealth of experience from his tenure at tech giants such as Google, Walt Disney Animation Studios, and ILM.

LitigationLitigationTestifying & Consulting Expert
Due DiligenceArea of ExpertiseComputer Graphics
Patent ServicesPatent SpecialtiesSubject Matter Expert
Minh N. Do | Software Consultant
Senior Software Consultant Los Angeles

Minh Do is a computer scientist, software engineer, and entrepreneur, backed by a robust educational background. Experienced in building and operating scalable, high-availability, distributed infrastructures, and familiar with the latest ML/AI technologies, Minh is a valuable asset at the intersection of computer science and legal contexts.

LitigationLitigationConsulting Expert

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