Confidential-data AI assessment
We find the work AI can take on, starting from the information you handle.
Contracts, meeting minutes, customer information, quotes, internal know-how. Your company holds plenty of information AI could use, yet you can't tell whether it is safe to hand it to an external AI as is. This assessment is for executives and back-office teams at small and mid-sized companies, and we think it through with you from there.
Common themes by industry
Every industry gets stuck for different reasons. Our industry pages cover the usual problems and how Cor. works alongside you.
Organizing clinical data, patient response, information security, AI strategy
Contract review, applications & registration, deadline management, subsidy applications
Labor management, design changes, safety checks, passing on know-how
Visual inspection, passing on know-how, equipment maintenance, inventory management
Test workload, parent communication, surveys & reports, ICT roster management
Is this where you are stuck?
- You don't know whether confidential data can go to an external AI.
- You don't know where to start, and time keeps passing.
- When you ask a vendor, the talk jumps straight to a large development project.
Terms used on this page
- Cloud AI
- Generative AI provided by an outside vendor. What you enter is sent outside your company.
- Local LLM
- Generative AI that runs in your own environment, without sending data outside your company.
- PoC
- Proof of concept: a small trial before production to check that something works.
How we proceed
We don't start by building. Instead of opening with technology, we first put into words what to handle and how.
On-site interviews
We hear how your work flows and what is getting in the way.
Taking stock of tasks
We look at your current work and list the tasks AI could take on.
Classifying data
We sort the data you handle by how confidential it is.
Separating cloud AI and local LLM use
We separate what may go to an external cloud AI from what should stay with a local LLM.
Sorting out risks
We review four points: where to draw the line on information given to AI (input boundaries), access rights, operation logs, and human approval.
Setting a direction
We set a direction on whether to move on to a PoC.
What you have after the assessment
When the assessment ends, you have documents you can use for the next decision.
- An inventory of tasks that are candidates for AI
- Your data classified, with how to handle each kind
- Risks and how to address them
- A proposed direction if you move on to a PoC
Choosing what comes next
- Move on to a local LLM / AI infrastructure PoC
- Move on to a small-scale production build
- Decide not to build anything yet
The assessment may conclude that it is better not to build yet. We tell you that conclusion plainly too. Whichever you choose, the assessment is designed to give you the material to decide your next step.
Cost
Costs vary depending on the problem and scope. Our estimates make the assumptions, risks, and scope of work clear; the formal price and schedule are confirmed after requirements review.
Related work and case studies
Confidential Data AI Utilization Assessment — Organizing how to handle your data together before putting it out there
You want to use contracts, meeting minutes, and customer information for AI, but cannot feed them directly into external AI services. Rather than jumping straight into development, this assessment service addresses those concerns starting with organizing your information.
Local LLM / AI Infrastructure PoC — Providing the Data You Need to Decide
You have confidential data and cannot send everything to cloud AI, yet you cannot determine on your own whether a local LLM is truly viable for your operations. This 3-month PoC takes you from that state to having the necessary materials to make a confident decision on production deployment.
Other services
We check whether generative AI can work even for tasks with information you can't send outside.
We don't stop at a trial; we build AI into your day-to-day work.
Start by checking the information you handle.
Discuss a confidential-data AI assessmentThe button takes you to our contact page, where our AI receptionist Cloudia will ask what you need.