Private AI for SMBs: From First Pilot to Productive System
AI projects in mid-sized companies rarely fail due to technology. They fail because there's no team to operate them. CCsolutions builds and operates.
Mid-sized companies have real AI use cases, document processing, customer comms, knowledge search, but lack a dedicated AI team. Choosing between "build it yourself" and "send data to OpenAI" is a false dichotomy. CCsolutions builds Private AI systems that your team uses without having to manage the tech.
The most common challenges
No internal AI expertise available
AI engineers are expensive and hard to find. For an SMB wanting to use AI for specific processes, hiring a whole team is not a realistic option.
Standard cloud AI products don't fit specific processes
One-size-fits-all products are built for the average. Those wanting to automate niche processes, like processing industry-specific requests, need a tailored system.
Data protection and GDPR uncertainty stalls AI adoption
In many mid-sized companies, uncertainty over data protection stops AI usage entirely. Private AI provides the legal certainty because no data leaves the company.
The CCsolutions approach
CCsolutions guides mid-sized companies from the first use case to ongoing operations: requirement analysis, model selection, infrastructure setup, integration, and managed operation. Your team uses it, we keep it running.
Getting started is simple with a pilot project: a clearly defined use case, six weeks implementation, measurable results. This provides certainty and shows internal stakeholders what's possible before larger investments.
For SMBs, we often recommend hybrid setups: the AI model runs on-premises while the management interface is cloud-based. This minimizes hardware overhead while maintaining full data control.
Technologies
Frequently asked questions
What company size makes Private AI worthwhile??
Starting at about 50 employees, most companies have enough document volume and repetitive tasks where AI saves measurable time. The key is having a concrete use case.
How much does a pilot project cost?
Depending on the use case and infrastructure, a pilot project costs between 15,000 and 40,000 USD. Subsequent managed operations follow usage volume.
Can we start with a small use case and expand later?
This is our recommended approach. A pilot provides experience and internal proof-of-concept before expanding the platform across more processes.
Ready to get started?
We analyse your situation for free and show what is possible in your specific case.
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