Should you be a Taker, Shaper, or Maker of AI embedded technology?
Enterprise organizations looking to harness the promise of AI, automation, and advanced analytics into their organization should consider how existing support tools for IT operations can be improved and enhanced with AI functionality, without causing major distractions to the strategic initiatives of the business.
While AI has great promise, simply adding new technology into your complex infrastructure environment needs to be well thought through and deployed with care as new technology does not always translate into reduced complexity or risk.
Every business today is faced with the opportunity to improve access to critical information that can help improve day-to-day decision making – but with so many options readily on the table, where can you realize tangible results that you can use to demonstrate value for time and investment?
Defining your goals for implementing AI?
There are several key aspects often associated with setting organizational goals for AI.
Improving efficiency and productivity: Many organizations aim to leverage AI for automating routine tasks, optimizing operations, and boosting productivity. This could involve deploying chatbots for customer service, using AI for faster data analysis, or automating manufacturing processes.
Enhancing decision-making: AI can help organizations make better decisions through data-driven insights. Predictive analytics, for example, can forecast future trends, customer behavior, and market dynamics, enabling more informed strategic planning.
Driving innovation: Incorporating AI can lead to the development of new products, services, or business models. Organizations may set goals to use AI for research and development, creating innovative solutions that differentiate them from competitors.
Improving customer experience: AI can personalize customer interactions, recommend products or services, and improve overall customer satisfaction. Goals in this area often focus on leveraging AI to better understand and anticipate customer needs.
Reducing costs: By automating tasks and optimizing processes, AI can help organizations cut operational costs. Goals might include specific targets for cost savings in areas such as production, supply chain management, or customer service.
Enhancing quality and reliability: AI systems can monitor and analyze processes in real time, identifying deviations or defects that human operators might miss. Goals here might involve improving product quality, reducing error rates, or enhancing system reliability.
Ensuring compliance and security: Organizations may set goals around using AI to enhance data security, protect against fraud, or ensure compliance with regulatory requirements. AI can help monitor transactions, detect anomalies, and enforce policies more effectively than traditional methods.
Fostering competitive advantage: Ultimately, many organizations pursue AI to maintain or gain a competitive edge in their market. This can involve being the first to adopt new technologies, using AI to create superior customer experiences, or leveraging AI insights to make strategic moves before competitors.
How can AI transform IT operations?
A natural starting point for many IT leaders is to improve their existing service levels to their employees and customers by implementing modern tools for monitoring, alerting, escalating and reporting of incidents that are both commonplace as well as disruptive to the operations of the company.
Here are six ways that you can leverage AI in your existing topology that can automate routine tasks, make processes more efficient, and make better product investments. The result, if AI is deployed and managed responsibly, is increased profitability and a happier, more productive workforce.
- Automated incident response: By applying AI to your internal operations systems, we can automate the identification and resolution of routine issues.
- Intelligent resolution: AI analyzes past incidents to suggest quick, effective solutions for new issues.
- Proactive problem management: AI identifies patterns and trends to identify systemic issues that can be addressed to improve our services.
- Intelligent routing: AI predicts the best team for ticket assignment based on historical data and automatically assigns work.
- Chat-enabled interactions: AI agents can interact with customers on their environment and ticket statuses providing fast, insightful information.
- Knowledge management: AI organizes and surfaces relevant knowledge base articles for faster issue resolution.
Learn more: AI in retail
How to accelerate AI adoption
Engaging with an industry consulting advisory firm can help you map your organizational targets and outcomes to improve IT operational efficiencies. Consider whether you will be an AI Taker, Shaper, or Maker:
- AI Taker: This approach involves using proven AI already embedded in the existing tools you use daily to support your operational capabilities. This option creates the least disruption to your current business operations and customer expectations but may not provide a significant operational advantage, as it mainly helps you keep pace with industry standards.
- AI Shaper: This strategy involves merging multiple tools and platform capabilities with embedded AI into one cohesive solution. Successfully integrating these tools requires effort to orchestrate interactions and expected outcomes, but it can give you and your customers a measurable boost in creativity and operational insights.
- AI Maker: This approach involves creating new, customized, and bespoke intellectual property, including Generative AI development of new tools based on large language models, immersive data sets, and complex automation. This can deliver entirely new capabilities, disrupt your industry, and make your competitors take notice.
Very few enterprise organizations today have the skills and experience to become a Maker of Generative AI solutions on their own. But by starting to leverage the more immediate and tangible benefits of the Taker and Maker approach, IT operational leaders can show results in a fraction of the time.
Leveraging a service provider that is already a lengthy way along the adoption curve will speed up this process exponentially and help you avoid costly mistakes along the way.
CBTS offers a full range of AI Accelerator professional services for adopting and implementing transformational capabilities of modern AI capabilities, including:
- Readiness Workshop -Evaluate business goals, determine security and data access policies, identify high-value use cases and user profiles.
- Readiness Assessment -Outline data protection protocols, structure data efficiently, establish productivity baselines, conduct in-depth security, M365, application and other readiness assessments, provide AI readiness gap analysis, propose further actions.
- Readiness Remediation – Safeguard against excessive access to data, regulate user privileges, reduce device vulnerabilities, oversee AI app usage, deliver remediation reports, suggest subsequent steps.
- Copilot for M365 Deployment – Manage user licenses and costs, implement adoption and organizational change strategies, offer user training, develop proof-of-concept projects, provide long-term strategic advice.
- Enterprise Integrated Custom Copilots – Utilize the robust capabilities of Microsoft Copilot Studio and the Microsoft Power Platform, along with Microsoft Fabric and Azure, to build generative AI apps. These apps will harness natural language processing to interact with enterprise data to enhance and accelerate business processes.
Talk to us today to accelerate your AI adoption and reinvent your operations for the digital age.
