AI Adoption Planning
Map your processes, find the work truly worth applying AI to, and set the order before building anything.
Book a free consultation→Map your processes, find the work truly worth applying AI to, and set the order before building anything.
Who it is for
- Companies that want to adopt AI but don't know which department or task to start with
- Organizations whose staff already use AI tools on their own and want consistent rules
- Companies worried about data leaks that want to decide which work suits the cloud and which must stay on-premise
- Small and mid-sized businesses that want to automate repetitive work such as document handling, customer service, and reporting
What we do
Process interviews
Interview each department and record the work and pain points that take the most time each day.
Opportunity assessment
Assess each AI opportunity by benefit, difficulty, data availability, and risk.
Data inventory
Confirm what data is needed, where it lives, and its quality and access rights.
Cloud or on-premise decision
Recommend cloud services or on-premise deployment based on data sensitivity and cost.
Small pilots
Quickly prototype one or two high-value items to test feasibility.
Usage policy
Set AI usage principles and data protection rules to reduce risk.
How it works
Kickoff interviews
Understand company goals and each department.
Process mapping
Document workflows and a list of pain points.
Assessment and ranking
Weigh benefit against difficulty and set priorities.
Pilot validation
Quickly prototype the key items.
Adoption roadmap
Deliver phased adoption recommendations.
What you get
AI opportunity list
Items each department can adopt, with estimated benefits.
Adoption priorities
A phased plan ranked by benefit and difficulty.
AI usage policy
Draft data protection and usage principles.
FAQ
We don't have an IT department. Can we still adopt AI?
Yes. Many applications work from off-the-shelf tools. The point of the mapping is to find items that need little technical investment yet ease the load right away.
Will adopting AI leak our data?
This is dealt with first, during mapping. Sensitive data can stay on-premise, or you can use enterprise plans configured so your data is not used for training.
Do we have to hire you to build it afterward?
No. The result is a neutral roadmap. You can carry it out yourselves, hire another vendor, or have us help with the build.
Related services
On-Prem AI Hardware
Based on your model, user count, and data volume, we pick servers, GPUs, and storage that are just enough.
On-Premise AI Deployment
Build AI applications on your own equipment, so your data never leaves the company.
AI × Energy Management
Use AI to catch abnormal usage and forecast peak load, making energy savings and storage dispatch more precise.
From one kWh to one tonne.
Tell us about your situation. We reply with initial advice within 3 business days.