Problems Lisa solves
Inconsistent customer experience
Increased focus on conduct risk
High agent turnover
Insufficient supervisory coverage
How it works
Translate
Ingest
Enhance
Present
High quality duplex call recording capability combined with best-in-class speech to text engine for both cloud and on-premise deployments. Lisa extracts words with more than 90% accuracy and tags semantic elements such as confidence, volume and energy.
Natural Language Processing tools identify:
- Agent and customer.
- Entities including times, dates, names, etc.
- Conversation sentiment.
Lisa’s advanced AI algorithms deliver context and meaning for further analysis including:
Derive & visualise business insights from the analysed data through QM scorecards triggered notifications and integration with your BI (Tableau & Qliksense) and CRM (Salesforce) systems.
Why Lisa?
Truly AI-driven, Lisa offers rich insights using Natural Language Processing techniques and Machine Learning tools to identify growth opportunities from every customer conversation.
Truly Australian, our headquarters are located in Sydney and our data science team are from Victoria’s Deakin University. With top Australian talent we are dedicated to working with Australian companies to create something more powerful than a global strategy: a needs-focused, home-grown one.
Solutions by business value
Customer Experience
Contact Centre Efficiency
Compliance
Sales Effectiveness
Solutions by industry
BPO
Banking
Trading Desks
Energy & Utilities
Insurance
Marketing
Retail
Technology
Travel & Hospitality
Telecomms
Key Benefits
100% Call Coverage
Seamless Customized Integration
Open Source Database
AI-driven
Simple Pricing Model
Flexible Proposition
Lisa demo
Use Lisa's AI-driven insights to generate business function-specific reports.
Contact Centre Supervisor
Analyse agent performance and measure customer satisfaction.
Spot best practice and training needs on an agent-by-agent basis, or across a whole business.
Contact Centre Agent
Listen to calls, review transcription, understand semantics and meaning.
Distinguish between over-talk and interruptions.
Spot best practice and assess training needs.
Latest
news
Read our most recent thoughts on the future of AI and its real-world application in business right now.
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