AI Integration & Model Selection
AI integration and model selection that fit the work your team already does.
An impressive demo is only a starting point. Choose tools that fit your information, systems and day-to-day work, with clear expectations for human review.
AI integration connects an AI tool or model with the way your business works. Cyber Shift Technologies helps you compare platforms, plan the connection and implement an agreed project. We consider the task, information handling, review steps and operating costs before choosing a subscription, an integration or an open-weight deployment.
What Gets In The Way
A tool needs a place in the workflow.
Clear tasks and information boundaries make it easier to choose an approach.
A useful demo, no working process
The tool looks promising, but it is unclear how employees would use it with the systems and information they already rely on.
Too many platforms, unclear tradeoffs
Subscriptions, model choices and hosting options are hard to compare when the business task and information boundaries are still undefined.
Choose And Connect
Fit the platform to the task.
We help with tool selection, project planning and implementation, with responsibilities agreed before work begins. Product names belong to their owners, and listing them doesn't mean a partnership or endorsement.
Claude, ChatGPT, Gemini, Grok and Microsoft Copilot
Explore hosted AI platforms, including OpenAI's GPT models behind ChatGPT, for the work you have in mind. Consider information handling and how employees will check the output. For Microsoft Copilot, available features depend on the product, account and licensing involved.
Qwen, Gemma, GLM and DeepSeek
Consider open-weight models when running AI on your own hardware fits the task. Licensing, available weights, hardware needs and capabilities depend on the specific model and version.
Your own local AI hardware
Some work needs to stay off the cloud. We help you size, configure and run AI hardware you own, like an NVIDIA DGX Spark or Apple Mac Studio, with software such as vLLM or Ollama. It stays in your office, under your control, and we help keep it running. What it can run depends on the model, its size and the version.
Connections to existing work
Work through the information a tool needs, how it reaches that information and where its output goes. Plan the integration around the systems and permissions involved.
A reviewable implementation
Agree on scope and what the project should accomplish. Test realistic tasks, decide which answers need checking and define who handles uncertain or incorrect output.
Start With One Workflow
One task, one tool and a clear way to check it.
A first project sized so your team can see whether it works.
Pick a task your team handles every week. We agree what the tool should do, which answers need a person's review and how we'll judge success, then connect it and test it on real work. Scope and responsibilities are agreed before work starts.
Connected Needs
Keep the rest of the process in view.
Explore the related work when your project calls for it.
Business Process Automation
Reduce repetitive work with a practical automation plan. Cyber Shift helps map business workflows and implement AI, scripts or integrations that fit.
AI Policies & Shadow AI
Give employees clear guidance for business AI use. Cyber Shift helps with AI Acceptable Use policies, approved tools, data boundaries and Shadow AI risks.
Custom Application Review & Modernization
Review, improve or rebuild a custom business app with Cyber Shift. Get a practical plan for AI-built apps, reliability, updates and production readiness.
Before You Start
AI platforms and integration: your questions answered.
Practical answers before you decide on a next step.
Can you help us choose between Claude, ChatGPT, Gemini, Grok, Microsoft Copilot and local models?
Yes. We help you weigh hosted platforms like Claude, ChatGPT, Gemini, Grok and Microsoft Copilot against open-weight models like Qwen, Gemma, GLM and DeepSeek, run on hardware such as NVIDIA DGX Spark or Apple Mac Studio with vLLM or Ollama. The right choice depends on the workflow, information risks and cost. Naming a product doesn't mean a partnership.
Do we need an AI subscription, a custom integration or a locally hosted model?
That depends on the task and how information needs to move. An approved business AI tool may be enough for work someone reviews manually. An integration may help connect repeatable steps. Locally hosted models bring different control, hardware and maintenance requirements. We help compare these approaches against the actual workflow.
How should we handle sensitive business information in an AI project?
Start by deciding what information the workflow needs, who may access it and which tools are approved to process it. Discuss retention, provider terms and review requirements before sharing data. AI output can be wrong, so important information should be checked against its source before someone relies on it.
LET'S MAKE ROOM FOR WHAT'S NEXT
Bring the AI tool you're considering.
Bring the task, the systems involved and the questions you have. We can talk through a practical next step.
Book a 30-Minute CallA USEFUL FIRST CONVERSATION
Talk with our team
330-353-8420Reviewed by John Wheeler, President / Founder