A Framework for Adoption & Transformation
85%
of CEOs believe AI will significantly change their business in the next 5 years.
(Source: Fictional Tech Survey 2025)
Unlike traditional AI that only reacts, an agent operates in a continuous, proactive loop to achieve complex goals.
Gathers data from its environment
Creates a multi-step plan to reach a goal
Executes actions using tools and APIs
Connect AI initiatives to core business objectives. Define clear use cases, ROI, and an adoption roadmap.
Build the data pipelines, tech stack, and talent required to support autonomous agents.
Establish agile, responsible, and scalable processes for designing, building, and deploying agents.
Implement robust ethical guidelines and risk management to scale responsibly.
Organizations progress through distinct maturity stages, shifting their focus across the pillars as they advance.
Autonomous supply chain management.
Self-optimizing ad campaigns.
Proactive issue resolution agents.
Automated infrastructure and auditing.
Form a task force, conduct workshops, and brainstorm potential use cases.
Select 2-3 high-impact pilot projects and develop a clear business case.
Execute your first pilot, focusing on agile development and continuous learning.
Refine your governance model and develop a playbook to scale agents across the organization.
Q & A