AI solutions that improve performance
AI for better customer experiences
Sqwad combines AI with human expertise to improve customer interactions.
Our three approaches adapt to your business, the requests you handle and your customers' expectations.
Our approaches
Hybrid approach
Sqwad AI: the right balance of AI and human expertise
e assign customer interactions to AI or human agents based on three key factors:
CUSTOMER TYPE
REQUEST TYPE
RESPONSE COMPLEXITY
We intelligently segment AI & humans based on several key criteria of your customer relationship:
A gradual transition to a tailored mix of AI and human support:
Humans supported by AI
Humans supported by AI
Human agents remain at the heart of customer relationships, with AI helping them work more effectively.
We build flexible sqwads of experienced agents from around the world, matched to your industry and needs.
In the back office, we use advanced AI tools that optimize each step of the process:
AI-ASSISTED MONITORING
Monitor your sqwads' output and productivity in real time.
AI quality assessment
Analyze individual performance and create targeted improvement plans, with ongoing monitoring.
AI ASSISTANT FOR MANAGERS
AI helps managers assess and support sqwads, making informed decisions easier.
AI COPILOT
AI supports agents in real time with tasks such as proofreading, translating and summarizing conversations.
AI supervised by humans
AI supervised by humans
AI handles initial customer interactions under the supervision of human experts.
This approach combines controlled automation with personalized support to meet customer expectations.AI is on the front line to manage
the initial interactions, but it is always supervised and supervised by human experts.
AI handles customer interactions and back-office processing. It automates responses and repetitive tasks to improve efficiency.
In the back office, we maintain a strategic human presence to:
Collect AND structure data to improve AI models.
DESIGN WORKFLOWS for decision-making and automated tasks.
TEST AND REFINE continuously to keep responses relevant and improve the user experience.
SUPERVISE AND MONITOR AI performance at scale to maintain quality and drive ongoing improvement.