The rapid evolution of AI presents a challenge for businesses: balancing the potential of AI with the reality of achieving tangible outcomes. This has led to a dual nature in the AI landscape, requiring organisations to determine their AI adoption pace: AI-steady or AI-accelerated.

Gartner’s research highlights the importance of understanding these different approaches to scale AI successfully and achieve desired outcomes.

AI-Steady: A Measured Approach

Organisations with modest AI ambitions or those in industries not yet heavily impacted by AI may find an AI-steady pace appropriate. This approach prioritises:

• Employee Productivity: Integrating AI tools into workflows for productivity gains.
• Cost Management: Understanding AI investments and monitoring costs closely.
• Tech Sandwich: Accommodating both centralised and decentralised data and AI.
• Governance and Trust: Establishing responsible AI practices and mechanisms for effective management.
• Change Management: Addressing employee reactions and ensuring smooth AI integration.

AI-Accelerated: Embracing Transformation

Organisations with ambitious AI goals or those in industries being transformed by AI may require an AI-accelerated pace. This approach focuses on:

• Beyond Productivity: Seeking benefits like process improvement, innovation, and new revenue streams.
• Real-Time Cost Monitoring: Effective management of AI expenses for scaling initiatives.
• Custom Tech Sandwich: Designing a flexible tech sandwich to accommodate diverse AI and data sources.
• TRiSM Technologies: Implementing trust, risk and security management technologies for safe AI at scale.
• Behavioral Impact: Managing employee emotions and ensuring comfort with AI-driven changes.

ServiceNow: Accelerating AI Adoption

By 2028 more than 80% of Enterprise Apps will have native AI capabilities but more siloed AI won’t yield the results you are looking for at scale. This is where ServiceNow is different. The biggest hinderance to AI is the underlying data sets, without well structured quality data the results will not be optimal. ServiceNow’s platform architecture provides a single data model that extends across functional areas and deep within industry specific models. When you apply AI to this common dataset you multiply the benefits of AI for employees across the enterprise. The data AI is bring trained on within IT is now beneficial to the Customer Support teams who are notified via their AI Agent that the system outage has impacted customer billing. The benefits of bring able to scale AI and leverage ServiceNow as the “Enterprise Glue” are exponential.

ServiceNow provides a unified workflow platform that can help organisations accelerate their AI adoption journey, regardless of their chosen pace. By connecting and automating work processes, ServiceNow empowers businesses to:

• Enhance Productivity: Streamline workflows, automate tasks, and free up employees for higher-value work.
• Improve Efficiency: Optimise processes, reduce costs, and drive better business outcomes.
• Foster Innovation: Empower teams to experiment with AI and develop innovative solutions.
• Manage Risk: Ensure responsible AI practices with built-in governance and security features.

Quintica: Transforming Businesses with ServiceNow

Quintica, an Elite ServiceNow Partner, is at the forefront of helping organisations like E& UAE leverage ServiceNow to drive AI-powered transformation. Quintica’s expertise in ServiceNow ensures that businesses can:

• Unlock the Power of AI: Implement AI solutions tailored to their specific needs and goals.
• Maximise ROI: Achieve tangible business benefits from their AI investments.
• Accelerate Transformation: Transform their operations and drive innovation with ServiceNow’s AI capabilities.

In conclusion, whether your organisation adopts an AI-steady or AI-accelerated approach, ServiceNow’s unified workflow platform, combined with the expertise of partners like Quintica, can help you harness the power of AI and achieve your desired business outcomes. By focusing on business outcomes, technology outcomes, and behavioural outcomes, organisations can successfully scale AI and unlock its transformative potential.

With reference to Gartner’s Scaling AI: Strategies for AI-Steady and AI-Accelerated Organizations