The executive's guide to agentic AI: Enhancing workflows to unlock high-value cost savings
Agentic AI is reshaping enterprise workflows, moving beyond task-based generative AI to manage entire processes autonomously. In this guide, we'll explore how AI agents can reshape enterprise workflows and unlock high-value work across industries, including financial services, healthcare and telecommunications.
Unlike generative AI, which excels at creating discrete outputs, AI agents can independently plan and execute a sequence of tasks to achieve broader business objectives.
This guide walks you through the critical differences and demonstrates how to leverage agentic AI to drive significant cost savings and unlock your team's potential for high-value work.
This guide includes:
- The key distinctions between predictive, generative and agentic AI and why this matters for your business strategy
- Detailed use cases showing how agentic AI is already solving critical pain points in financial services, healthcare and telecommunications
- TELUS Digital's proprietary formula to quantify the potential cost savings and revenue growth from implementing AI agents in your organization
- Three essential components of any effective AI agent: a clear purpose, a robust knowledge base and the right tooling
- "Human-in-the-Loop" strategies to deploy agentic AI responsibly, ensuring security, governance and trust
The conversation around AI has shifted from potential to performance. Executives are now seeking clear, measurable returns on their AI investments. Agentic AI, the third wave of artificial intelligence, meets this demand by offering autonomous, goal-oriented systems that can manage complex workflows with minimal human oversight.
This guide is designed for digital leaders and executives who are responsible for driving innovation and efficiency within their organizations. It is particularly relevant for:
- Business leaders & C-suite executives seeking to understand the strategic implications and ROI of advanced AI
- Digital product managers tasked with integrating AI into new and existing digital products and workflows
- Technology and innovation leaders evaluating the next wave of AI technologies to maintain a competitive edge
