AI-powered call analysis
Identify agreed conversation signals and potential service issues for human assessment.
Give quality teams a clearer view of every conversation.
Use AI-assisted analysis to surface interactions that deserve attention, with supervisors responsible for the final interpretation.
Explore AI Quality AssuranceTHE OPERATING CHALLENGE
Start with what is making the work harder.
Quality teams often review only a portion of a growing interaction volume. Manual transcription, inconsistent review notes and disconnected coaching records make it difficult to spot patterns or decide which conversations need a closer look.
ORVANT can develop a review workflow around approved recordings, agreed criteria and supervisor oversight. We assess the recording source, consent requirements, language and data handling before designing transcription, analysis, scoring assistance and review queues.
WHAT WE CAN BUILD & INTEGRATE
Capabilities for ai call quality.
The implementation combines only the capabilities your process needs. Deliverables and technical boundaries are defined before development.
Conversation transcription
Convert suitable audio into reviewable text, with limitations assessed for language, noise and recording quality.
Quality scoring assistance
Apply a defined rubric to help organize reviews, not to present every score as an unquestionable fact.
Protocol monitoring
Flag potential departures from agreed scripts or procedures for an authorized reviewer.
Customer interaction insights
Group recurring topics, service issues and feedback across approved interactions.
Agent performance analytics
Present contextual information to support coaching and review, with appropriate access controls.
Supervisor review workflows
Give quality teams a place to inspect evidence, confirm findings and record decisions.
Potential issue identification
Prioritize interactions that may need follow-up without claiming perfect detection.
PRACTICAL APPLICATIONS
Where this can make a difference.
Illustrative use cases, not claims of completed client projects.
Contact centers and BPO
Organize interaction review around a shared rubric and a supervisor-managed queue.
Insurance and retention operations
Surface possible protocol gaps or recurring objections for a qualified reviewer.
Customer service and sales teams
Bring relevant examples into coaching discussions while preserving context and recording permissions.
THE BUSINESS PURPOSE
Build around a useful operational outcome.
A more focused review queue
Help supervisors decide where to spend attention across a larger interaction set.
Consistent review criteria
Make the rubric, supporting evidence and final reviewer decision easier to follow.
Operational learning
Use recurring patterns to inform process improvements and team guidance.
What we define before implementation
- AI transcription and scoring are not perfectly accurate and must be evaluated for the intended use.
- Monitoring does not establish automatic regulatory compliance or replace professional review.
- Recording consent, retention, workforce policies and sensitive-data obligations require assessment by the organization and its advisers.
- Human supervisors remain responsible for consequential judgments and decisions.
A CLEARER START
Questions before the first conversation.
Practical answers for the people planning the next step.
Does this replace the quality assurance team?
No. The intended role is to support supervisors with transcription, prioritization and analysis. People retain responsibility for interpretation, coaching and consequential decisions.
Can you analyze our existing call recordings?
Potentially, subject to recording access, permissions, consent, supported formats, data handling and an assessment of representative audio.
Do you guarantee scoring accuracy or regulatory compliance?
No. Accuracy depends on the task and source material. The rubric, evaluation, human review and relevant obligations must be defined for the specific operation.
LET’S TALK ABOUT YOUR OPERATION
Request a ConsultationLet’s define the right starting point for your operation.
Tell us where the process breaks down, what your teams need and what you want to improve. We will help define a practical starting point.