Preparing your SMB for AI agents: what to put in place first

AI agents are no longer a future technology – they are arriving inside the tools Israeli SMBs already pay for, from Microsoft 365 Copilot to the assistants built into CRM and accounting platforms. Unlike a simple chatbot, an agent can take actions on your behalf: read documents, summarise mailboxes, draft replies, and pull data from across your systems. That capability is genuinely useful, but it inherits whatever access the person using it already has – so a little preparation now prevents expensive surprises later.

What Makes an AI Agent Different From a Chatbot

A chatbot answers questions from a fixed body of knowledge. An agent is given goals and the ability to act – it can search your files, open and send email, update records, and chain several steps together to complete a task. To do that, it operates with delegated access to your business data, usually through the signed-in employee's account. The practical implication is simple but important: an agent can see and do anything the employee can, just faster and at far larger scale.

Tighten Identity and Access First

Because agents act through employee accounts, your identity and access controls become the foundation of safe AI adoption. Make sure multi-factor authentication is enforced everywhere, review who has access to what, and apply least privilege so each person – and therefore each agent acting for them – can reach only the data they genuinely need. The over-broad permissions that felt harmless when only humans were clicking around become a real exposure once an agent can traverse them in seconds.

Clean Up Who Can See What

AI agents are very good at surfacing information that was technically accessible but practically buried. If your SharePoint sites, shared drives, and OneDrive folders have accumulated years of over-sharing – 'anyone with the link' permissions, or files shared company-wide that never should have been – an agent will happily find and summarise them. Before rolling out an assistant, review your sharing settings and tighten access to sensitive material such as payroll, contracts, and customer data. This single step prevents the most common and embarrassing AI mishaps.

Decide Which Tools Are Approved

Employees are already experimenting with AI, whether or not the business has a policy. Decide which tools are approved, what kind of company data may and may not be pasted into them, and make that guidance clear and easy to follow. The goal is not to ban AI – it is to channel it toward sanctioned tools that keep your data inside your control, rather than free consumer services that may use whatever is typed in to train their models.

Start Small and Supervised

You do not have to switch everything on at once. Begin with a small group, give the agent access to a limited, well-organised set of data, and keep a human reviewing its output before anything is sent or acted upon. Watch what it reaches for and adjust permissions as you learn. This measured approach lets your team capture the productivity gains while you confirm the guardrails are holding.

Laying the groundwork first

Getting the foundations right – identity, access, data hygiene, and clear usage rules – is the same work that protects your business from breaches in general, which means preparing for AI agents makes you more secure either way. NetFortress helps Israeli SMBs put those foundations in place and adopt AI tools like Microsoft 365 Copilot safely, without the jargon. A short readiness review will tell you how prepared your environment really is for AI agents.