AI Strategy Consulting for Long-Term Growth and Lasting Competitive Advantage
We help organizations develop actionable short- and long-term AI roadmaps, and conduct AI pilots to help kickstart AI integration with confidence. With 20 years of field expertise, we know what works, what’s hype, and which opportunities are truly worth pursuing. From identifying high-value use cases to building a clear roadmap, we give your team the tools and direction needed to get started effectively.
How We Help Companies Develop Custom AI Strategies
Our select AI strategy services
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Why Partner With Us On Your AI Strategy

FOUNDER & CHIEF AI STRATEGIST AND ARCHITECT
Let’s face it. Adopting AI has become a leadership priority. Yet executing it effectively remains a challenge. A recent MIT study found that nearly 95% of generative AI initiatives fail to deliver meaningful results for one primary reason: they are misaligned with core business goals and processes.
The risks are real: wasted investment, stalled initiatives, and solutions that fail to scale. For executives, the key questions are often the same:
- Which problems are truly worth solving with AI?
- How should data be collected and prepared?
- How can the value of an AI project be measured?
- Should we build capabilities internally or work with external partners?
These are complex, context-dependent questions that require both technical depth and business clarity.
At Opinosis Analytics, we provide that clarity. Founded by Dr. Kavita Ganesan, a globally recognized AI strategist, architect, and author with more than two decades of applied experience, we bring a rare combination of scientific expertise and strategic business insight.
Our track record spans industries including manufacturing, healthcare, retail, government, and legal. We have delivered results for organizations such as 3M, McKesson, Solventum, McMaster-Carr, University of Utah, Westminster University, and Workforce Development agencies, helping them streamline operations, reduce costs, and uncover new revenue opportunities.
What distinguishes us is our commitment to both strategy and execution. We partner with leadership teams to identify high-value opportunities, prioritize initiatives by ROI and feasibility, and build practical roadmaps. Then, unlike firms that stop at advice, we stay engaged through implementation, ensuring that AI initiatives are executed correctly, deliver measurable outcomes, and strengthen competitive advantage.
For leaders who need to move beyond uncertainty and into results, Opinosis Analytics offers the expertise, experience, and discipline to make AI work for your business.
We’re Trusted Advisors for AI Strategy and Business Transformation

Example Results Achieved For A Government Client
35
expert-vetted AI OPPORTUNITIES
2.1 M USD
AGENCY-LEVEL ANNUAL PROJECTED COST SAVINGS
20%
minimum workflow-level error-reduction projected
Why Leaders Trust Our AI Strategy

Let’s Work Together on Your AI Strategy
Use the form below to discuss your AI strategy project and goals. We will be in touch within 24-48 hours.
Frequently Asked Questions
Without a deep understanding of AI’s capabilities and limitations, finding and navigating AI initiatives to solve business problems can be challenging.
Questions we often hear include:
- How do we know which business problems could or should use AI?
- How do we get started with data collection for AI development?
- How do you measure the value of an AI project?
- Are there off-the-shelf AI solutions for my AI problem?
- Should I buy, build a data science team, or outsource implementation?
Unfortunately, the answers are context-dependent. One wrong move and you could face a temporary setback, which is where our AI strategy consulting comes into play.
Using our years of field expertise, we work with your team and chart a clear path toward reaching your goals. Whether you’re struggling with company-wide AI planning or a single AI initiative planning, we’ll guide you to get where you want to go.
We utilize proven frameworks developed over the years, achieving high success rates for many of our clients. From high engagement to significant cost and time savings, to name a few.
Product Level
An AI strategy at the product level makes sure an idea can become a working tool that delivers results. This means having the right data, people, success metrics, and clear choices between custom or off-the-shelf solutions. Without this groundwork, projects often stall.
Business Unit Level
At the business unit level, AI strategy helps you focus on the opportunities that have the biggest impact on costs, productivity, or decision-making. It prevents wasted effort on low-value problems and ensures each initiative supports broader business goals.
Organizational Level
An organizational AI strategy prepares the entire company for AI, not just one team. This includes budget, culture, infrastructure, data, and skills (the B-CIDS pillars from our published work). The goal is to make AI adoption repeatable and sustainable across the organization.
AI Startups
For startups where AI is central to the product, strategy covers technology choices, performance standards, monetization, safety, user adoption, and feedback loops. Getting these right is critical because product quality directly impacts trust and growth.
At Opinosis Analytics, we help with all four areas of strategy. We’ve worked with large organizations needing department-level AI strategy and startups needing product-level strategy.












