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Hitachi Solutions
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What We Do
Advisory Services
Application Innovation
Artificial Intelligence (AI)
Business Applications
Cloud Platform
Data & Analytics
Managed Services
Security & Governance
Industries
Construction (AEC)
CPG & Retail
Energy
Financial Services
Healthcare
Insurance
Manufacturing
About Hitachi Solutions
Leadership Team
People Communities
Awards and Recognition
Technical Achievements
History
Sustainability
Career Opportunities
Our Tech Hub
Insights
Blog
Customer Stories
Downloads
Events
Podcasts
Contact us
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AI Readiness Assessment
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*
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Step
1
of
7
14%
How aligned is your AI vision with your overall business growth objectives?
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We haven’t formally defined either yet.
We’ve begun to discuss how AI might support long-term goals.
We’ve mapped out initial AI use cases tied to business outcomes.
Our AI roadmap is embedded in business strategy.
AI is central to growth planning, with executive ownership and budget alignment.
How would you describe your current ability to integrate and unify data across sources?
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Data is siloed across legacy systems with limited access.
Some efforts are underway to consolidate key data sources.
We have a centralized platform, but integrations are still evolving.
Data sources are largely unified and accessible across teams.
We have a fully integrated analytics estate, optimized for AI use.
Which best reflects how AI is currently used across your organization?
*
AI is not yet in use.
Pilots are running in isolated functions.
We’ve implemented a few AI solutions across departments.
AI is embedded in key workflows and decision-making.
AI is scaled and delivering measurable value in multiple areas.
How equipped is your organization to adapt to AI-driven change?
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There’s hesitancy and limited leadership buy-in.
Leadership is curious, but change management is informal.
Some leaders are championing AI with pockets of readiness.
Cross-functional teams are engaged and trained for AI adoption.
AI culture is embedded; change is ongoing and supported organization-wide.
What’s your current level of readiness to govern AI initiatives responsibly?
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We haven’t considered AI-specific governance yet.
Early conversations are happening about risks and compliance.
We have some policies in place, mainly for data privacy.
Governance is evolving to include model transparency and bias detection.
We have a defined framework covering accountability, ethics, and regulatory needs.
How quickly can decision-makers in your organization act on AI-generated insights?
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Insight delivery is ad hoc and often delayed.
Reports are shared regularly, but usage is inconsistent.
Teams are starting to use insights in real time.
Insights are integrated into workflows for daily decisions.
Predictive insights trigger automated, strategic actions.
Which best describes your organization’s AI investment approach?
*
No formal investment yet.
Experimenting with small, low-risk projects.
Funding has been allocated to AI initiatives.
We’ve built a portfolio of strategic AI investments.
Investments are continuously optimized based on ROI and business impact.
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