A multinational steel manufacturer with over $1B in revenue runs over 800 long-term projects — but with outdated data systems, their teams were buried under customer inquiries and operational backlogs.
Steel Company
How a Global Steel Company Reclaimed Time and Focus with AI Support
Problems
Outdated data systems are causing operational inefficiencies.
❌ Sales and support teams wasted up to 30% of their time just pulling data from legacy systems
❌ Inquiries piled up, but the backend couldn’t keep up
❌ Fragmented tools made customer service slow, manual, and error-prone
Impacts
Customer response delays weren’t just frustrating; they were affecting business performance.
→ Inquiry delays frustrated high-value clients and hurt service expectations
→ Manual processes introduced costly errors in customer and project data
→ Sales and ops teams had less time for strategic initiatives
What Changed with Vision
By integrating Vision’s AI Customer Service layer, the company:
Delivered instant answers
to 100s of customer queries
Automated updates and inquiry
handling across legacy systems
Provided live status
tracking to customers
Fully centralized and integrated
their customer support system
Real-World Gains
50% reduction in admin workload
Cut customer handling time by 50–70%
Sales & Ops team can now focus on key projects and strategic work
Improved data access helps teams make faster, smarter decisions