HBF
Agentforce assistant for contact-centre staff
HBF reported 8% shorter calls after expanding its AI assistant to 200 contact-centre staff
Problem
HBF wanted to reduce call-handling time and the time customers spent on hold while staff sought information.
Approach
HBF piloted a Salesforce Agentforce assistant with 30 staff in December 2025 and expanded it to all 200 contact-centre staff by late May 2026. It changed its language-model configuration after staff found responses too slow, accepting higher running costs. Newer recruits found the assistant more useful than experienced staff.
Results
Takeaway
Response speed affected adoption enough for HBF to accept higher model costs.
Categories
- Industry
- Finance and insurance
- Business function
- Customer service
- Innovation type
- Process innovation
- AI technology
- Generative AIConversational and voice AI
- Adoption
- Off-the-shelf tool or platform
- Evidence
- Company's own claim
Sources
Source summaries
HBF executives reported expanding the internal assistant from 30 pilot users to 200 contact-centre staff. They reported 8% shorter average calls and 30% less hold time, and described model changes following complaints about response speed.
Full details are in the original sources.