Agentic AI

The agentic era has begun

We are entering a new phase in artificial intelligence, where systems no longer simply assist, but act autonomously.

Agentic AI combines advanced reasoning with the ability to plan, make decisions, and execute actions across workflows. The result is more proactive, adaptive, and goal-driven solutions that are fundamentally changing the way businesses work and create value.

What is Agentic AI?

Agentic AI – also called autonomous AI – is a form of artificial intelligence that works independently to design, execute and optimize workflows, which enables companies to make better decisions and solve tasks more efficiently.

AI agents can analyze situations, plan actions and, most importantly, adapt continuously to achieve set goals, either with minimal human intervention or autonomously on their own.

How does agentic AI work?

You define your goals, and the agentic AI translates them into action. If a workflow already exists that matches the intent behind your goals, the agent can execute them directly. In other cases, AI agents can develop and adjust workflows themselves along the way – with ongoing human sparring when needed. If the conditions change, the agents adapt their strategy to ensure the best possible results.

Agentic AI works forward by anticipating needs, estimating outcomes, and proactively responding to new opportunities.

From input to action

This model illustrates an agentic AI that works autonomously from input to action. The AI ​​understands natural language, reasons about the task, and plans its own workflows. The result is intelligent actions and responses that are delivered efficiently and purposefully.

1. Natural Language Input: The user provides goals, instructions, or questions in plain language
2. Interpretation and Reasoning: The AI ​​analyzes context, breaks down the task, and plans the next steps
3. Workflow Generation: The model designs an action plan and selects relevant tools or subtasks
4. Workflow Execution: The AI ​​agent acts independently, calls tools, adjusts along the way, and validates results
5. Output / Result: A finished answer, action, or decision is delivered back to the user

What is the difference between Agentic AI and traditional AI?

Generative AI has demonstrated remarkable capabilities in content creation, language translation, and creative tasks in recent years, but Agentic AI builds on these capabilities by adding autonomous decision-making and, not least, the ability to act independently.

Agentic AI Works independently, makes decisions and pursues goals with human guidance when necessary Analyzes context and identifies the most appropriate path forward Designs, executes and optimizes workflows to achieve specific goals Continuously improves and can adapt to change

Traditional AI Delivers valuable insights based on data IForms a core component of more advanced agentic AI solutions Automates or supports specific, limited tasks Often requires manual adjustment to adapt to changes in the environment

Agentic AI in Business Central

The first AI-powered agents were introduced in Business Central 26, which was released with the Dynamics 2025 release wave 1 upgrade wave.

AI agents are autonomous, intelligent assistants built with Copilot to automate complex, repetitive tasks such as sales order processing and invoice management.

The agents work within the system, monitoring and interpreting data, making decisions, and taking actions on behalf of users, requiring minimal intervention and freeing up employees to focus on higher-value tasks.

Agentic AI in Business Central goes beyond traditional automation by enabling intelligent, autonomous agents that can reason, plan, and act directly from your business data.

Agents work across the application from finance, supply chain, and operations to proactively identify issues, recommend actions, and execute workflows with minimal human intervention.

By continuously adapting to changing conditions, Agentic AI in Business Central helps businesses operate more efficiently and business users make faster, better-informed decisions.

Key benefits include:

• Proactive decision-making based on real-time business data
• End-to-end automation of complex, multi-step workflows
• Improved efficiency across finance, supply chain, and operations
• Faster response to changes and exceptions
• Reduced manual effort and operational costs
• Increased employee focus on high-value, strategic work

New and improved agents in Business Central 28

By introducing new, autonomous AI agents designed to automate repetitive tasks in finance and supply chain, the shift from traditional ERP to AIERP is accelerated with Microsoft Dynamics 365 Business Central 28 2026 Release Wave 1.

Key features in the upcoming upgrade include new agents for expense management, accounts payable, and order fulfillment that act as digital counterparts, along with deeper Copilot integration in Outlook/Teams.

New agents and agent enhancements in Business Central 28:

• Expense Management Agent: A new agent to manage, categorize, and streamline your expense reporting processes.
• Accounts Payable Agent Enhancements: Improved capabilities to match invoices to orders, providing higher security and accuracy in AP workflows.
• Fulfillment Agent: A brand new AI agent focused on accelerating order processing, including Shopify enhancements, dropshipment approval, and improved and faster order fulfillment.
• Expansion of the sales order agent: Improved capabilities for managing, reviewing, and modifying sales order instructions.
• Copilot in Outlook and Teams: Enhanced AI capabilities for generating reports, forecasting cash flow, and analyzing anomalies, including collecting requests from email attachments (PDFs and image files).
• Custom Agent Features: Create your own custom agents without any in-depth technical knowledge.