Agentic AI and Autonomous Decision-Making
This white paper explores how AI is evolving from systems that answer questions to systems that actually complete tasks on their own; making decisions, using tools, and getting work done without constant human input (Agentic AI).
What’s Inside:
Beyond the Chatbot: How AI has evolved from providing answers to taking action. Instead of just helping you draft an email, imagine AI that reads your inbox, prioritises messages, schedules meetings, and sends appropriate responses—all while you focus on strategic work.
Four Key Building Blocks: The paper outlines four essential practices for making AI work reliably in organisations: giving AI temporary rather than permanent access to systems, allowing it to test actions before committing, letting different AI systems collaborate efficiently, and keeping clear records of how decisions were made.
What’s Actually Working: Real data from verifiable sources showing how organisations are using AI today, which ones are seeing measurable results, and why many pilot projects never scale up.
How to Build It Right: A practical framework explaining the different components needed—from how the AI thinks and remembers, to how it connects with your existing systems, to how you maintain control and oversight.
Real-World Examples: See how companies are already using these systems for customer support, IT operations, research projects, and financial planning—moving from demos to daily operations.
Getting Started: Practical advice on launching AI projects that deliver value, manage costs effectively, and actually make it into production rather than getting stuck as experiments.
This white paper is the second in a series on Macrotrends in 2025 – you can read the first white paper – Tech macrotrends in 2025: Insights from a software engineering perspective – here
Relevant For:
Business leaders, technology teams, and anyone responsible for evaluating or implementing AI initiatives in their organisation.