Your Company Doesn’t Have an AI Strategy — It Has 12 of Them

Recruiting is using one AI writer, your engineers another, and someone in finance just pasted next year’s forecast into a free chatbot. Nobody approved any of it — and that’s exactly the problem.

It’s the SaaS-sprawl story all over again — adoption happening bottom-up, one free trial at a time, faster than leadership can govern it.

The Problem with “AI Sprawl”

The gap lies in operational readiness. AI is often treated as a tool to be implemented, rather than a capability to be built. Without the right structure in place—clear requirements, aligned stakeholders, and defined processes—AI initiatives introduce more problems instead of reducing them. What’s at stake:

• Your data may be leaving the building — and training someone else’s model
• There’s no record of what’s been shared, by whom, or what came back
• Client contracts and regulations (GDPR, HIPAA) may already be in violation
• Business decisions are riding on unvetted AI output

Just Lock it All Down, Right?

Well, not necessarily. Lockdowns push AI use underground where you have zero visibility. The answer isn’t prohibition — it’s governed enablement.

From there, structured intake and requirements processes become critical. Without them, ambiguity spreads quickly, and even the most promising initiatives lose direction.

Organizations that succeed ensure that every AI effort begins with:

• Clearly defined goals
• Measurable outcomes
• Shared understanding across stakeholders

Most leaders we talk to are surprised by how many AI tools are already running in their organization. If you’re not sure what’s out there — or what it’s touching — give us 30 minutes to talk through the ComResource approach.