A multinational steel manufacturer with over $1B in revenue runs over 800 long-term projects — but with outdated data systems, their teams were buried under customer inquiries and operational backlogs.
The Problem:Outdated data systems are causing operational inefficiencies. |
Its Impacts:Customer response delays weren’t just frustrating; they were affecting business performance. |
|---|---|
| ❌ Sales and support teams wasted up to 30% of their time just pulling data from legacy systems | → Inquiry delays frustrated high-value clients and hurt service expectations |
| ❌ Inquiries piled up, but the backend couldn’t keep up | → Manual processes introduced costly errors in customer and project data |
| ❌ Fragmented tools made customer service slow, manual, and error-prone | → 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
“Vision’s experienced team gave us the confidence to roll out generative AI solutions that will improve our service quality, reduce errors, and strengthen client trust. Now, we approach projects with greater confidence and deliver higher excellence.”
Acro Japan Inc.
What This Shows
You don’t need a big team to run a growing business.
With the right AI tools, even a solo seller can offer fast service,
grow revenue, and stay competitive — without burning out.
