Agents were evaluated on 4 calls a month. AI Scorecards now cover most conversations—QA became a coaching tool, not a compliance checkbox.
An environmental services company running a growing contact center where call volume and customer expectations had outpaced the systems designed to support them.
Quality assurance depended entirely on manual call review, with leads spending 10-15 hours per week on it and agents evaluated on just 4 calls per...
Non-hazardous liquid waste management services provider in the Eastern US.
AI-powered cloud communications platform for voice, video, and contact center.
Wind River Environmental's Contact center monitoring is part of this use case:
Related implementations across industries and use cases
Manual call reviews across disconnected systems delayed onboarding. Real-time AI guidance cards and scorecards speed rep development.
Managers once manually reviewed up to 84 recordings to find information. Now, AI instantly generates summaries and automated scorecards.
Manual call evaluations delayed insights by weeks. Now, bots score calls at scale, empowering analysts to synthesize data in hours.
Manual call reviews across disconnected systems delayed onboarding. Real-time AI guidance cards and scorecards speed rep development.
Managers once manually reviewed up to 84 recordings to find information. Now, AI instantly generates summaries and automated scorecards.
Minor updates required 3.5-hour re-recordings. Now, teams use AI avatars to regenerate training videos from slides in 30 minutes.
Complex multi-tab spreadsheets limited early bots. Now, an extraction pipeline structures this data for AI to reliably resolve queries.
Manually evaluating high call volumes was slow and inaccurate. Now, AI extracts sentiment so sales teams can refine their outreach.
Manual call evaluations delayed insights by weeks. Now, bots score calls at scale, empowering analysts to synthesize data in hours.
Agents were evaluated on 4 calls a month. AI Scorecards now cover most conversations—QA became a coaching tool, not a compliance checkbox.
An environmental services company running a growing contact center where call volume and customer expectations had outpaced the systems designed to support them.
Quality assurance depended entirely on manual call review, with leads spending 10-15 hours per week on it and agents evaluated on just 4 calls per...
Non-hazardous liquid waste management services provider in the Eastern US.
AI-powered cloud communications platform for voice, video, and contact center.
Wind River Environmental's Contact center monitoring is part of this use case:
Related implementations across industries and use cases
Manual call reviews across disconnected systems delayed onboarding. Real-time AI guidance cards and scorecards speed rep development.
Managers once manually reviewed up to 84 recordings to find information. Now, AI instantly generates summaries and automated scorecards.
Manual call evaluations delayed insights by weeks. Now, bots score calls at scale, empowering analysts to synthesize data in hours.
Manual call reviews across disconnected systems delayed onboarding. Real-time AI guidance cards and scorecards speed rep development.
Managers once manually reviewed up to 84 recordings to find information. Now, AI instantly generates summaries and automated scorecards.
Minor updates required 3.5-hour re-recordings. Now, teams use AI avatars to regenerate training videos from slides in 30 minutes.
Complex multi-tab spreadsheets limited early bots. Now, an extraction pipeline structures this data for AI to reliably resolve queries.
Manually evaluating high call volumes was slow and inaccurate. Now, AI extracts sentiment so sales teams can refine their outreach.
Manual call evaluations delayed insights by weeks. Now, bots score calls at scale, empowering analysts to synthesize data in hours.