How different would your business look if your planning tools could anticipate your next move?
➡️Part 1 of our two-part series on Agentic AI is here, and it’s set to shake up how organizations think about Integrated Business Planning.
This first installment explores the paradigm shift underway and what it means for the future of connected, enterprise planning.
Intro
Integrated Business Planning (IBP) is entering a new era powered by agentic AI, AI agents that can autonomously plan, decide, and act in pursuit of business goals. For CIOs, CTOs, CAIOs, and CFOs, this represents a paradigm shift from using AI merely for insights to deploying AI for end-to-end orchestration of critical business processes. By 2028, Gartner predicts at least 15% of day-to-day work decisions will be made autonomously by such agents (up from essentially zero today). Integrated Business Planning (IBP) traditionally connects strategy, finance and operations into a unified planning process. Agentic AI supercharges this integrated planning process by eliminating traditional planning silos between data, decisions, and teams. Instead of periodic, siloed planning processes, organizations will embrace continuous, AI-driven planning across departments in real time enabling agility and cross-functional alignment. The result is a paradigm shift: planning is more proactive, data-driven, and adaptive than ever before.
This goal-driven autonomy promises more adaptable planning and faster decision cycles, but it must be implemented with robust oversight to maintain trust. Gartner’s analysts urge enterprises to design agentic AI with transparency, guardrails and human oversight from the start, noting that these agents “embed autonomous, goal‑driven behavior… but also increase complexity and risk, requiring clear boundaries, oversight and observability to maintain trust.” In short, agentic AI is on the rise as a transformative force, yet its success will hinge on marrying autonomy with responsible governance.
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