Boost quality assurance efficiency with intelligent Auto QA
Draw insight and drive automation from every customer interaction
Simplify QA complexity and drive process efficiency direct from the voice of the customer
Human informed QA automation at its best
Aveni is the only speech-driven solution on the market that focuses exclusively on machine automation of the QA process using company-specific QA forms and terminology to ensure it’s tailored to your risk and compliance requirements.
Company-wide QA orchestration from a single data source
Our workflows enable a consistent set of metrics to assess engagement, passing outcomes to the right team for action. Our platform flags product development insights, customer retention issues, agent performance outcomes, high risk incidences and more. This orchestration activity is driven by one data source simplifying complexity and boosting QA efficiency.
Intelligent Auto QA to achieve extraordinary efficiency
Aveni Detect uses AI driven automation at all stages of the QA workflow, significantly reducing the time taken to complete an assessment and ensuring that agent effort is spent on the highest value interactions.
Machine assessment of every call
Every call is assessed and analysed using unique algorithms and machine learning to draw out trends and actionable outcomes.
Our powerful selection algorithm automatically allocates calls to the QA team for human assessment, based on customer experience, agent performance and risk.
Aveni Detect presents all call attributes in a navigation workflow to support efficient assessment.
Focus you team's time on the highest priority calls
Ensure assessor time is focused on the most valuable activity and keep one step ahead of any risks. Our platform’s triage feature automatically detects potential vulnerability, complaints and expressions of dissatisfaction, giving you advanced warning of any potential issues before they become critical. Proactively prioritise these calls and those that fail Aveni’s automated QA assessment for immediate review by a human.
Sparked your curiosity?
Keep up to date with the latest in Natural Language Processing, news, opinions and Aveni life
We know that FCA’s Consumer Duty is a marathon, not a sprint. As FCA’s Director of Cross Cutting Policy & Strategy Nisha Arora reminded
Large language models (LLMs) are a rapidly evolving field, with new and existing models being released and improved on all the time. In this podcast