How to Write an AI Use Policy Employees Will Follow
What an acceptable AI use policy should cover, a simple data rule and how to roll it out.
The hinge between ambition and operations
Hinkor Technologies brings consulting, engineering, data, AI and managed operations together — so you can change the business without breaking it.
Consulting · Engineering · Modernization · Managed operations
Services
Start with the problem you need to solve. Each service connects to the others, so work can move from strategy to delivery to operations without a handover gap.
Technology, data and AI strategy, enterprise architecture, and cybersecurity, risk and compliance advice.
Custom software, modernization, enterprise applications, integration, quality engineering and embedded systems.
Cloud migration, DevOps and platform engineering, and cloud and identity security.
Data platforms, analytics, AI and generative AI, and intelligent automation.
Infrastructure, applications, security, service desk, workplace and business process operations, run to agreed service levels.
Not sure where to start?
We will help you frame the work and identify the right starting point.
How we work
The work does not end at go-live. We plan for the operating model, the handover and the team that will run it afterwards.
Compare how we deliver →01
Turn competing priorities into a sequenced, funded plan.
02
Build software, data, AI and connected products that hold up.
03
Replace risk in cloud, ERP and legacy systems incrementally.
04
Run IT, applications and operations with clear accountability.
Industries
Regulation, operating models and customer expectations differ by sector. Start with yours.
How we deliver
Or read about our delivery framework and how we manage trust and security.
Insights
What an acceptable AI use policy should cover, a simple data rule and how to roll it out.
How a well-run managed service transition unfolds, what your team needs to provide and the warning signs to watch for.
Hinkor's new website sets out its services across strategy, engineering, cloud, data and AI, and managed services.
Platforms & ecosystems
We work across enterprise applications, cloud, data, integration, commerce, security and workplace platforms.
Next step
Bring us the problem, the constraint or the deadline. We will help you find a practical starting point.