Cibi Creative

11/04/2026

“IT is handling AI” is not an AI governance strategy. It is a handoff.

CIO Dive reports that organizations are bringing AI, privacy and security governance closer together because the risks overlap. Its coverage also highlights a familiar problem: coordination can become “death by committee.”

Smaller businesses should borrow the principle, not the bureaucracy.

You probably do not need another committee. You do need a named business owner who can explain why an AI tool is being used, what information it receives and what decisions it is allowed to influence.

IT can configure access. It should not be left to decide whether uploading a client document is acceptable under your contracts.

An employee can review an AI-generated recommendation. That does not mean the employee has the expertise, time or authority to challenge it.

And a vendor can describe its safeguards. That does not settle whether the tool belongs in your workflow.

Those are business decisions, supported by technical and legal advice where needed.

For an SMB, I would start with one accountable sponsor and a short approval process that brings the relevant people into the same conversation.

Governance should make responsibility visible, not spread it so widely that nobody owns the outcome.

If your AI tool produces a costly mistake tomorrow, can you name the person responsible for the decision to use it today?

11/02/2026

f your approved AI process is harder than the workaround, your governance needs work.

Omnissa’s recent commentary argues that organizations need visibility into actual AI use, alongside approved alternatives that meet employees’ needs. It is a vendor perspective, but the operational question is worth asking.

"Don’t use unapproved AI” is a boundary, not a complete management strategy.

Ask employees what they are trying to accomplish before buying another control or rewriting the policy. What task is taking too long? What is missing from the approved tool? Does anyone know how to request an alternative?

That does not mean allowing every app or relaxing confidentiality requirements. It means pairing clear restrictions with a workable route to approval.

For a smaller business, start with one named decision-maker, clear examples of permitted and prohibited data, and a straightforward way to ask about a new use case. I would also make clear that an approved tool is not blanket permission to upload any company information.

And I would hold leadership to the same rules.

The standard I would use is simple: can an employee explain which account to use, what information may go into it, and who must review the output?

Could your team answer those questions without opening the policy document?

11/01/2026

For an SMB, AI accountability belongs with leadership, even when implementation belongs with IT.

I would not ask IT alone to decide whether client information may enter an AI service, whether an AI-assisted hiring recommendation is acceptable, or whether a customer-facing response needs human approval.

Those are business decisions involving confidentiality, service quality, employee treatment, and accountability.

IT should help evaluate access, security, and technical controls. But leadership should define acceptable uses and assign someone to own the outcome.

For a smaller company, that does not have to mean creating a committee. A starting point would be a named business owner for each meaningful AI use, clear data boundaries, and an explicit rule about what requires human approval.

I would rather see a business govern one useful AI workflow properly than approve ten tools without clear accountability.

If an AI-assisted decision went wrong tomorrow, would your team know who had authority to approve it and who was responsible for reviewing it?

Source: Cyber Magazine, “Why AI Governance is Now a Board-Level Business Priority”

https://cybermagazine.com/news/why-ai-governance-is-now-a-board-level-business-priority

10/31/2026

Your AI budget is incomplete if it only includes software.

It also needs to account for the time your team will spend learning, reviewing outputs, changing workflows, and deciding who remains responsible.

New research from Insperity and Lighthouse Research & Advisory illustrates the gap. Three-quarters of surveyed SMB leaders are using or experimenting with AI. Only four in ten feel very prepared to manage the people side of that change. The survey covered employers with 50–2,000 employees, so it is not a direct snapshot of the smallest businesses. But it raises a useful question for any owner: have we funded adoption, or just access?

My practical takeaway: start with one recurring task and set a baseline, not a company-wide rollout.

Document how the task works today. Involve the person who actually does it. What is the pay rate and how long does the task take. Decide what information can enter the AI tool and who will check the result. Then measure whether the change reduces total effort, including review and corrections.

A faster first draft is useful. A faster first draft that creates more rework is not necessarily an improvement.

For a small business, this does not need to become a six-month transformation project. It can begin with one workflow, a short trial, and a clear decision about whether the result justifies the cost.

The goal is not more AI activity. It is better business performance.

10/30/2026

Most businesses do not have an AI problem. They have an access-control problem that AI makes easier to see.

When an employee uses a chatbot to summarize a customer email, the risk is not the prompt alone.

It is the fact that the organization may not be able to answer 5 questions:
Was that tool approved?
Was customer data allowed in it?
Who could access the conversation history?
Was the output reviewed before it was used?
What happens when the employee leaves?

AI agents raise the stakes because they can search, retrieve, summarize, and act across systems far faster than a person working manually.

That is why “just give it access” is not an implementation plan.

Microsoft’s latest Digital Defense Report makes the practical case for reducing oversharing and applying sensitivity-aware, least-privilege controls as AI expands access to organizational information.

For an SMB, governance does not need to begin with a committee or expensive platform.

Begin with a simple register:
Tool | Business purpose | Allowed data | Connected systems | Accountable owner | Review date

If you cannot complete those six fields for an AI tool, it is not ready to connect to customer, financial, HR, or proprietary business data.

AI governance is not paperwork for large enterprises.

It is the operating discipline that keeps convenience from quietly becoming exposure.

10/28/2026

Your team using AI is not the same as your business getting better.

NBC News reports that 86% of surveyed graduates of Goldman Sachs’ small-business program use AI. Just 15% say they have fully integrated it into core operations. That is a specific group of business owners, not a national small-business benchmark.

Still, it raises a useful question:

Are we improving a process, or simply adding another tool?

For an owner-led business, I would start with one recurring workflow, not a company-wide AI rollout.

Consider preparing a first draft of a customer proposal.

Before adding AI, document:
- How long the task takes today.
- Where errors and rework occur.
- What customer information the task requires.
- Who approves the final proposal.

Then run a small, controlled pilot.

Measure total time, including checking and corrections. Include subscription costs and staff training. Set clear limits on what information can enter the tool.

Keep human approval before anything reaches the customer.

If the workflow becomes faster without sacrificing quality or creating unacceptable exposure, you have evidence to expand.

If it does not, you have learned something useful before making a larger commitment.

The goal is not to put AI everywhere.

It is to make a specific part of the business work better, with someone accountable for the result.

Which recurring task in your business would benefit most from that kind of test?

10/16/2026

Questions to ask a vendor before using agents. Check out the latest at blog-dot-cibicreative-dot-com

Meta now wants to charge if you post more than two links a month.😠

10/09/2026

https://ai-readiness-brief.beehiiv.com/p/when-ai-fails-it-usually-fails-quietly-shadow-use-skipped-controls-and-what-regulators-are-starting

Shadow AI Compliance | AI Governance Controls | Federal AI Procurement | Agentic AI Risk | SMB AI Readiness

10/02/2026

AI news for MSBs Oct 2, 2026

AI Project Readiness, EU AI Act Compliance, Shadow AI Governance, Vendor Due Diligence, SMB Data Privacy

09/25/2026

News for the week of Sept 20 2026 - AI and SMBs

AI Data Readiness, Shadow AI Governance, Regulatory Compliance, Agentic AI Risk