use cases

Empowering BPOs with next-level performance and compliance solutions

In the highly competitive BPO space, it’s all about the bottom line. Leverage AI to reduce the cost of quality while enhancing team performance, make data-driven business decisions, drive agent consistency, and meet compliance requirements.

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4.7 (200+ reviews)

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Overview

Unleash the full potential of your managers and team leaders

Boost margins with intelligent automation

Do more with less and not let the need to make a substantial margin hold you back.

Maximize retention and improve productivity

Reduce costs associated with agent churn and lengthy onboarding processes, and improve the productivity of your staff.

Unlock valuable insights for your clients

Stand out from the crowd and impress your clients with evidence-backed insights with Level AI's trendspotting analysis.

Unlock valuable insights for your clients

Stand out from the crowd and impress your clients with evidence-backed insights with Level AI's trendspotting analysis.

Stay compliant and minimize risk

Establish a reliable process with the ability to prove your adherence to contractual metrics and eliminate penalties and invoice credits.

“Implementing Level AI into our quality assurance process at TTEC has been a game-changer. The platform's advanced Generative AI technology automates our QA process, provides actionable insights, and enables real-time feedback. This helps us ensure that every interaction meets our highest quality benchmarks.”

Contact Center Leader

TTEC

“Implementing Level AI into our quality assurance process at TTEC has been a game-changer. The platform's advanced Generative AI technology automates our QA process, provides actionable insights, and enables real-time feedback. This helps us ensure that every interaction meets our highest quality benchmarks.”

Contact Center Leader

TTEC

“Implementing Level AI into our quality assurance process at TTEC has been a game-changer. The platform's advanced Generative AI technology automates our QA process, provides actionable insights, and enables real-time feedback. This helps us ensure that every interaction meets our highest quality benchmarks.”

Contact Center Leader

TTEC

Automate

Approach

Tools

Analytics

Compliance

Automate 100% of conversation evaluations

Level AI’s cutting-edge QA automation tools evaluate 100% of customer interactions while providing real-time agent feedback to help you achieve significant cost savings while delivering exceptional results.

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Agent-focused approach

With our suite of agent-focused tools, including Real-time Agent Assist, AgentGPT, Coaching, and more, we enable your agents to be experts, streamline your onboarding process, reduce the cost of quality and coaching, and minimize the time required to get new agents up to speed.

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Team-centric coaching tools

Level AI empowers your managers and team leaders by leveraging GPT and large language models to make agent interactions more personalized, proactive, and consistent, creating a culture of continuous improvement. Say goodbye to inconsistency and hello to a team of highly effective managers and well-supported agents.

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Evidence-based, actionable insights with AI-driven analytics

Turn insight into action by easily identifying and delivering data-centric evidence on customer and industry trends, along with proven performance metrics. Remove yourself from tedious data maintenance and focus on driving business results with evidence-based decision-making.

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Compliance and risk management

Our advanced technology with features such as screen capture, screen record, transcription, and auto-summary enables you to track disclosures and improve compliance performance. Avoid the risk of non-compliance and the financial repercussions that can come with it.

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“Your advanced call center screen recording capability and redaction won the day. Your competition said, we just can’t match Level AI in that area.”

Shahryar Rehman

Head of Operations - Bakkt

“Your advanced call center screen recording capability and redaction won the day. Your competition said, we just can’t match Level AI in that area.”

Shahryar Rehman

Head of Operations - Bakkt

“Your advanced call center screen recording capability and redaction won the day. Your competition said, we just can’t match Level AI in that area.”

Shahryar Rehman

Head of Operations - Bakkt

Resources

Tools and insights to improve every customer interaction

View all resources

From insights to action: uncover hidden insights and transform contact center operations

Voice of the Customer Insights

From insights to action: uncover hidden insights and transform contact center operations

Build vs. Partner vs. Buy: How to choose the right AI strategy for your contact center

Artificial Intelligence

Build vs. Partner vs. Buy: How to choose the right AI strategy for your contact center

Elevating customer delight: using technology to enhance customer service with ezCater

Webinar

Elevating customer delight: using technology to enhance customer service with ezCater

From insights to action: uncover hidden insights and transform contact center operations

Voice of the Customer Insights

From insights to action: uncover hidden insights and transform contact center operations

Build vs. Partner vs. Buy: How to choose the right AI strategy for your contact center

Artificial Intelligence

Build vs. Partner vs. Buy: How to choose the right AI strategy for your contact center

FAQ

Have questions?
Find answers

Any more questions?

Contact us

What does BPO stand for?

BPO stands for “Business Process Outsourcing.” It refers to the practice of contracting specific business processes or operations to third-party service providers. This outsourcing allows companies to focus on their core activities while delegating non-core functions to specialized external vendors. It is a strategic approach that aims to improve efficiency, reduce costs, and enhance overall business performance.

What is BPO for call centers?

BPO call centers are a specific type of business process outsourcing (BPO) that focuses on providing customer support and communication services through telephone calls. In a BPO call center, companies outsource their customer service operations to a third-party provider, often located in a different region or country, where agents handle incoming and outgoing calls on behalf of the client company.

Why do companies outsource to BPO call centers?

Companies outsource to BPO call centers for several reasons, as they offer various benefits that can contribute to improved efficiency, customer service, and overall business operations.

What are the challenges of using BPO call centers?

Using BPO call centers offers benefits like cost savings and scalability, but there are challenges too. These include maintaining quality, data security concerns, communication barriers, and potential loss of direct customer interaction. Cultural differences, turnover, and integration difficulties can also impact operations. To succeed, companies must choose reliable providers, ensure data protection, manage cultural and communication issues, and carefully monitor performance.

How can BPO call centers use AI-driven contact center intelligence solutions?

AI-driven contact center intelligence solutions can be used by BPO call centers to improve customer service, reduce costs, and increase productivity. Here are some specific examples of how these solutions can be used:

  • Automate repetitive tasks: AI can be used to automate repetitive tasks, such as answering routine questions, providing basic support, and routing calls to the appropriate department. This can free up agents to focus on more complex issues, resulting in improved customer service.

  • Personalize the customer experience: AI can be used to personalize the customer experience by providing tailored recommendations, offering proactive support, and anticipating customer needs. This can help to improve customer satisfaction and loyalty.

  • Improve decision-making: AI can be used to analyze data and identify trends, which can help call centers to make better decisions about how to allocate resources, improve processes, and meet customer needs. This can help to improve the efficiency of call center operations and the overall customer experience.

  • Identify and resolve problems: AI can be used to identify and resolve problems before they become major issues. This can help to improve customer satisfaction and reduce the number of calls that need to be handled by agents.

  • Improve efficiency: AI can be used to improve efficiency in a number of ways, such as by automating tasks, reducing the need for human agents, and improving the accuracy of data entry. This can help to save time and money, and improve the overall customer experience.

Overall, AI-driven contact center intelligence solutions can be a valuable asset to BPO call centers. By automating tasks, personalizing the customer experience, improving decision-making, and identifying and resolving problems, these solutions can help to improve customer service, reduce costs, and increase productivity.

FAQ

Have questions?
Find answers

What does BPO stand for?

BPO stands for “Business Process Outsourcing.” It refers to the practice of contracting specific business processes or operations to third-party service providers. This outsourcing allows companies to focus on their core activities while delegating non-core functions to specialized external vendors. It is a strategic approach that aims to improve efficiency, reduce costs, and enhance overall business performance.

What is BPO for call centers?

BPO call centers are a specific type of business process outsourcing (BPO) that focuses on providing customer support and communication services through telephone calls. In a BPO call center, companies outsource their customer service operations to a third-party provider, often located in a different region or country, where agents handle incoming and outgoing calls on behalf of the client company.

Why do companies outsource to BPO call centers?

Companies outsource to BPO call centers for several reasons, as they offer various benefits that can contribute to improved efficiency, customer service, and overall business operations.

What are the challenges of using BPO call centers?

Using BPO call centers offers benefits like cost savings and scalability, but there are challenges too. These include maintaining quality, data security concerns, communication barriers, and potential loss of direct customer interaction. Cultural differences, turnover, and integration difficulties can also impact operations. To succeed, companies must choose reliable providers, ensure data protection, manage cultural and communication issues, and carefully monitor performance.

How can BPO call centers use AI-driven contact center intelligence solutions?

AI-driven contact center intelligence solutions can be used by BPO call centers to improve customer service, reduce costs, and increase productivity. Here are some specific examples of how these solutions can be used:

  • Automate repetitive tasks: AI can be used to automate repetitive tasks, such as answering routine questions, providing basic support, and routing calls to the appropriate department. This can free up agents to focus on more complex issues, resulting in improved customer service.

  • Personalize the customer experience: AI can be used to personalize the customer experience by providing tailored recommendations, offering proactive support, and anticipating customer needs. This can help to improve customer satisfaction and loyalty.

  • Improve decision-making: AI can be used to analyze data and identify trends, which can help call centers to make better decisions about how to allocate resources, improve processes, and meet customer needs. This can help to improve the efficiency of call center operations and the overall customer experience.

  • Identify and resolve problems: AI can be used to identify and resolve problems before they become major issues. This can help to improve customer satisfaction and reduce the number of calls that need to be handled by agents.

  • Improve efficiency: AI can be used to improve efficiency in a number of ways, such as by automating tasks, reducing the need for human agents, and improving the accuracy of data entry. This can help to save time and money, and improve the overall customer experience.

Overall, AI-driven contact center intelligence solutions can be a valuable asset to BPO call centers. By automating tasks, personalizing the customer experience, improving decision-making, and identifying and resolving problems, these solutions can help to improve customer service, reduce costs, and increase productivity.

FAQ

Have questions?
Find answers

Any more questions?

Contact us

What does BPO stand for?

BPO stands for “Business Process Outsourcing.” It refers to the practice of contracting specific business processes or operations to third-party service providers. This outsourcing allows companies to focus on their core activities while delegating non-core functions to specialized external vendors. It is a strategic approach that aims to improve efficiency, reduce costs, and enhance overall business performance.

What is BPO for call centers?

BPO call centers are a specific type of business process outsourcing (BPO) that focuses on providing customer support and communication services through telephone calls. In a BPO call center, companies outsource their customer service operations to a third-party provider, often located in a different region or country, where agents handle incoming and outgoing calls on behalf of the client company.

Why do companies outsource to BPO call centers?

Companies outsource to BPO call centers for several reasons, as they offer various benefits that can contribute to improved efficiency, customer service, and overall business operations.

What are the challenges of using BPO call centers?

Using BPO call centers offers benefits like cost savings and scalability, but there are challenges too. These include maintaining quality, data security concerns, communication barriers, and potential loss of direct customer interaction. Cultural differences, turnover, and integration difficulties can also impact operations. To succeed, companies must choose reliable providers, ensure data protection, manage cultural and communication issues, and carefully monitor performance.

How can BPO call centers use AI-driven contact center intelligence solutions?

AI-driven contact center intelligence solutions can be used by BPO call centers to improve customer service, reduce costs, and increase productivity. Here are some specific examples of how these solutions can be used:

  • Automate repetitive tasks: AI can be used to automate repetitive tasks, such as answering routine questions, providing basic support, and routing calls to the appropriate department. This can free up agents to focus on more complex issues, resulting in improved customer service.

  • Personalize the customer experience: AI can be used to personalize the customer experience by providing tailored recommendations, offering proactive support, and anticipating customer needs. This can help to improve customer satisfaction and loyalty.

  • Improve decision-making: AI can be used to analyze data and identify trends, which can help call centers to make better decisions about how to allocate resources, improve processes, and meet customer needs. This can help to improve the efficiency of call center operations and the overall customer experience.

  • Identify and resolve problems: AI can be used to identify and resolve problems before they become major issues. This can help to improve customer satisfaction and reduce the number of calls that need to be handled by agents.

  • Improve efficiency: AI can be used to improve efficiency in a number of ways, such as by automating tasks, reducing the need for human agents, and improving the accuracy of data entry. This can help to save time and money, and improve the overall customer experience.

Overall, AI-driven contact center intelligence solutions can be a valuable asset to BPO call centers. By automating tasks, personalizing the customer experience, improving decision-making, and identifying and resolving problems, these solutions can help to improve customer service, reduce costs, and increase productivity.