Businesses around the world are using AI in all sorts of ways to improve efficiency, cut costs, reduce human error, support customers, monitor IT systems, and relieve staff from repetitive work. To get a sense of how companies are deploying AI in the real world, the consultancy firm Deloitte collected responses from 2,620 global business leaders spanning 13 countries as part of its Fueling the AI Transformation report.
Across different vertical markets, including financial services, government, and the public sector, the survey found that the common use of AI. However, for the exact AI use case identification for your organization, you need support from consultants. Those AI consultants can help in multiple ways.
Reach Out to AI Consulting Firms, and Find the Right Use Case
Access to Specialized Expertise
One of the main benefits of availing AI consulting services is access to specialized domain expertise. They have experts in AI technologies and their application to a wide range of industries. This knowledge can be beneficial for organizations without an in-house AI capability or at the early stages of their AI adoption journey.
AI consulting companies also remain in step with the latest AI advances. They are also often in collaboration with academia and tech companies, with early access to new AI technology. They are at the forefront in offering leading-edge solutions to their customers and delivering a competitive edge to fast-moving markets.
There is not just technical proficiency, but also hands-on experience working on various AI projects. They can offer guidance on best practices, potential pitfalls, and creative uses of AI across industries. Cross-use of ideas can be critical in helping companies identify novel AI opportunities.
Cost-Effective Implementation
Engaging an AI consulting firm is a significant investment, often much less expensive than building the capacity to develop and apply AI internally. They not just help with right AI use cases, they have proven methods, pre-existing frameworks, and best practices that can accelerate the development process and prevent common mistakes. This can accelerate ROI and reduce TCO for AI initiatives.
Creating a dedicated in-house AI team is a costly proposition, including hiring, training, and infrastructure. It’s also possible to make expensive mistakes through inexperience. AI consulting can help enterprises skip these steps and implement solutions more quickly.
Additionally, hiring consultants gives companies the flexibility to ramp up or scale down their AI projects without making long-term commitments to hiring a larger in-house team. This flexibility could be beneficial in the early stages of AI adoption, when companies may not know how much to invest.
Faster Time to Market
By using the right methodologies and tools for AI use case identification, experts help accelerate AI solution development and implementation. This could be especially valuable in competitive sectors where getting AI-powered products or services to market first offers an edge.
Consultants can draw on insights from numerous engagements, enabling them to zero in on the most promising approaches and avoid time-consuming iterations through dead ends. They also include standard components or libraries that can be tailored to a specific use case, thereby speeding up development.
Secondly, AI consultants can make the AI deployment process smoother. They’re versed in tasks as varied as data wrangling, model training, and system integration — all of which are among the most common stumbling blocks in AI projects. By overcoming these barriers, organisations can also derive value from their AI investments faster.
Unbiased Perspective
An outside consultant can offer an unbiased perspective on a company’s AI needs and opportunities. And this perspective from the outside can be helpful both for identifying current application ideas that AI internal teams might not think of and for overcoming organizational resistance to change.
AI consultants can question existing assumptions and introduce new ideas drawn from their broad experience of multiple industries for AI strategy design. They can also offer an independent view of the company’s AI readiness and capabilities, thereby guiding realistic expectations and targets.
Besides, external consultants have an easier time transcending silos within an organization. They can enable cross-departmental discussions and ultimately unify disparate stakeholders around a shared vision and strategy for AI.
Steps For AI Use Case Identification
Step 1: Use Case Identification
The goal of this step is to generate a list of potential business problems for which AI could provide a solution with minimal disruption to the business. The activity “Use Case Identification” ensures that the correct business problems are identified and that the stakeholders who face them are clear. Start with current and future business problems, then determine which new technologies can be applied to solve them.
Step 2: Use Case Evaluation
This step is to reach a common understanding of the value and complexity of the non-scored use cases; prepare a list of scored use cases. All these helps in faster, and better AI adoption.
To determine business value, you need to know what value a use case gives, and how it does so. Value could take the form of optimized productivity, higher quality, better visibility, or improved customer experience.
These benefits, in turn, are valued differently across organizations depending on how well they align with strategic objectives such as growth, profitability, market position, or innovation. For example, a company focused on growth might focus on use cases that improve customer experience rather than those that will enhance efficiency.
Complexity depends on the amount of effort, expense, and time required to implement. These need to be balanced against the organization’s current IT inventory, data readiness, capabilities, and skills. In an ever-shifting AI environment, compliance, ethics, and legislation already muddy the waters.
Step 3: Use Case Prioritization
Choose business AI use cases that bring value, are aligned with the business strategy, and are technically ready. Less sophisticated AI adopters could also start small, tackling off-the-shelf, low-complexity, and moderate-value use cases to gain a better understanding of the rewards and complexity of AI. More mature companies might be going after some very high complexity to use cases with transformational power.
A prioritization matrix could help visually support and document the selection process. Implementing a quality gate at the end of this step increases transparency, provides additional feedback, and draws in management and leadership for round two.
Conclusion
The good news is that consulting firms are now more critical than ever. They bring a combination of technical mastery, strategic perspective, and practical know-how that can be hard for companies to access as they try to make sense out of the new world in AI/ML.
AI consulting firms’ role is no longer limited to AI use case identification. They help organizations at every stage of their AI journey, from creating holistic AI strategies to deploying state-of-the-art solutions. They give companies access to focused expertise; inexpensive, quick-to-implement solutions; an expedited time frame for setting up AI operations and an independent perspective on AI implementation through unclouded lenses.
So, today is the right time to reach out to a consultant to find out AI use cases, and more. In that case, what’s better than reaching out to Webuters. We are experts in AI counseling for digital transformation.
FAQs
- What is AI use-case identification?
AI use-case identification is the process of finding specific business problems that can be effectively solved using artificial intelligence technologies to improve efficiency and performance.
- Why is AI use-case identification important for businesses?
It helps companies focus on high-impact opportunities where AI can deliver measurable results — such as automation, cost reduction, and better decision-making.
- How do AI consulting services helpinAI use-case identification?
AI consulting firms analyze your business goals, processes, and data readiness to identify suitable AI applications, design an AI strategy, and guide you through implementation.
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