Understanding AI, Security, and Adoption in Business Central

part of preparing for AI-powered ERP. Organizations also need to consider security, governance, adoption speed, and whether an AI initiative delivers the expected business value.

 

What Security Considerations Should You Review Before Using AI?

Governance may not generate the same excitement as an AI demonstration, but it deserves attention early.

As Copilot and agents become capable of summarizing information, retrieving records, and taking actions, organizations need a clear understanding of who can access what. Permissions that seemed acceptable during ordinary system use may deserve another review when technology makes information easier and faster to surface.

Business Central provides administrative controls for individual Copilot and agent capabilities, including user access controls and data governance settings. The adoption plan should incorporate those controls rather than review them after a problem occurs.

The broader Microsoft environment matters, too. If an organization expects Copilot to work with content from SharePoint, Teams, Outlook, or other Microsoft 365 sources, those systems’ permissions and information architecture also need attention.

Business Central permissions govern Business Central data, while the permissions in connected Microsoft 365 services govern access to their respective content.

The important point is that AI does not create disciplined access where disciplined access does not exist. Security should not be used as a reason to stop. Treat it as one of the foundations required to proceed responsibly.

How Much Does It Cost to Run AI Agents?

Readiness also includes understanding how usage will be billed.

Business Central agents use consumption-based billing through Copilot Credits. Microsoft’s documentation currently lists the Sales Order Agent, Payables Agent, Expense Agent, and certain agent design and coding scenarios. Credit consumption can vary by agent, the actions it performs, and how often it is used.

That does not make agents too expensive or too unpredictable to consider. It simply means you should evaluate their value intentionally.

If an agent reduces manual processing hours, shortens customer response times, improves accuracy, or lets a team absorb more transaction volume, the return may justify the consumption cost. But the calculation should begin with a real process rather than a general desire to “do something with AI.”

How often does the process occur? How much employee time does it require today? Where do errors or delays appear? What would improvement be worth? What usage cost would be introduced? These questions turn AI from a technical experiment into a business investment.

The answer will differ by organization. What matters is making the economics visible before an initial pilot becomes a company-wide deployment.

 

How Fast Should Your Business Adopt AI?

The pace of change is one of the hardest parts of this transition.

Features will improve. Pricing may evolve. New agents will appear. Some early limitations will be resolved, while new governance questions will likely emerge. Waiting for everything to become stable sounds prudent, but stability may always be one release away.

A more practical approach is to choose your velocity.

Decide how quickly the organization is prepared to move and in what direction. Begin with a manageable problem, establish a baseline, test the proposed solution, measure the outcome, and document what was learned.

If the results are meaningful, expand deliberately. If they are not, adjust or select a different use case.

A roadmap should give the organization direction without pretending that every future step is already known. It should be firm about business outcomes and governance principles but flexible about the tools used to achieve them.

The organizations that benefit most may not be the ones that activate every capability first. They may be the ones that build a repeatable discipline for evaluating opportunities, managing risks, measuring results, and adapting as the technology improves.

 

What Should You Do Before Adopting AI?

Once you acknowledge the initial frustration and skepticism, the next steps become fairly practical.

Begin by looking honestly at the current environment. Where are employees losing time? Which processes depend on repetitive data entry? Where are customers waiting for responses? Which decisions are delayed because information is difficult to assemble? Where do inconsistent procedures create risk?

The answers provide a better starting point than a list of AI features.

From there, select a small number of opportunities tied to clear business outcomes. A finance team might focus on reducing invoice-processing effort. Customer service might focus on responding to order inquiries faster. Leadership might focus on making operational information easier to understand.

Measure AI usefulness against the improvement the business wants to achieve, not the excitement of the demonstration. Then, prepare the supporting foundation. Document the process. Confirm ownership. Review data quality and security access. Define where human review remains necessary. Estimate the potential benefit and consumption cost. Establish a way to measure whether the pilot worked.

This approach does not eliminate trial and error. It makes trial and error productive.

What Does a Responsible AI Adoption Strategy Look Like?

The best AI strategy starts with the business and the people who make it work.

Copilot, agents, and AI-powered workflows are tools. Their value depends on objective clarity, process quality, data reliability, governance strength, and employees’ willingness to learn.

That is why preparedness should not be confused with hesitation. Preparing does not mean forming a committee that discusses AI for a year while competitors learn by doing. It means creating enough structure to begin responsibly, learn quickly, and adjust intelligently.

At OTT, we help organizations examine real business processes, identify practical opportunities for improvement, and determine where Business Central, Copilot, and AI-powered agents can deliver measurable value.

The objective is not to introduce AI simply because it is new. It is to help people work more efficiently, improve customer experiences, strengthen operations, and support growth.

You can choose your speed and direction. You can begin with one process or several. You can move cautiously and still make meaningful progress.

What is becoming increasingly difficult to defend is standing still.

Take a deep breath, organize the effort, and begin with a plan that can change as you learn. The destination may keep evolving, but the next responsible step should not remain a mystery.