Time to democratize coaching with the power of AI

Personalized AI coaching empowers employees to improve their job performance and experience greater job satisfaction.

Sustainability and scalability:

the power of AI coaching

Did you know that 80% of training is quickly forgotten because it's just not practical enough?

Individual coaching is sustainable but expensive and difficult to implement on a large scale. AI Coaching, on the other hand, can be set up in a day and delivered to thousands of employees in no time.

Meet your AI coach

The learner can use a computer, tablet, or smartphone to access Retorio’s AI coach.

Step 1

They will be given a scenario, and roleplay a real-life situation. Whenever they want and as often as they want. All in a psychologically safe environment.

Step 2

The AI compares the learner’s behavior with winning behavior and recommends actionable insights for improvement.

Step 3

Learning, made by science

Gain actionable insights into why your best people do so well and replicate winning behaviors, tactics, and strategies across teams. Our AI coaching platform is powered by Behavioral Intelligence, which describes AI models that decode the intricacies of human behaviors. Gain access to industry, job role, and use-case behavioral insights and unlock successful behavioral change at scale.

Turn mid-performers into high-performers and achieve 20% revenue growth in 12 months.

AI coaching Platform FAQs

What makes Retorio different from other AI coaching platforms?

Retorio's AI coaching leverages sophisticated technology to provide measurable, impactful, and scalable coaching. It addresses the limitations of traditional coaching through data-driven, personalized, and unbiased methods. The core of Retorio's AI coaching lies in its capacity to analyze and quantify behavior using a multimodal approach.

Technical Architecture The AI coaching system works through a combination of deep learning models designed to optimize descriptive, predictive, and prescriptive functions. These models are designed to recognize speech, voice, and visual cues from video and audio data. The AI coaching platform consists of three primary types of models:

• AI Coaching Generation and Simulation Models: These models generate realistic training content, including simulated conversations and avatars, enabling administrators to create and launch simulations rapidly. Generative AI creates coaching content and brings content to life.
• AI Coaching Models for Behavioral Intelligence: These models analyze user interactions to quantify, predict, and prescribe behaviors using video analysis. These models translate explicit goals into concrete behaviors.
• AI Coaching Impact Reporting Models: These models provide insights into user engagement and the overall impact of training, enabling administrators to evaluate the effectiveness of coaching initiatives. These models identify skill gaps and track coaching impact on the firm.

Quantifying Behavior with Behavioral Intelligence At the heart of Retorio's AI coaching platform is behavioral intelligence, which analyzes user interactions to quantify, predict, and prescribe behavior based on video analysis. This system employs multimodal models that operate across different layers, integrating voice, speed, and visual inputs to describe quantifiable behavioral traits.

• Descriptive Recognition Models (Layer 1): In this initial stage, video and audio data are preprocessed and converted into quantifiable formats. Visual analysis involves detecting and analyzing visual cues like facial expressions using convolutional neural networks (CNNs). Verbal analysis employs deep-learning transcription models to extract audio features. Vocal analysis quantifies vocal data to enable prosody analysis.
• Prediction Models (Layer 2): The data from Layer 1 is analyzed using specialized behavioral models that assess the anticipated impact of the observed behavior on a simulated target audience. Each model concentrates on a single mode of communication—vocal, verbal, or visual—to enhance explainability and transparency.
• Prescriptive Benchmark Models (Layer 3): The output from Layer 2 is evaluated against predetermined benchmarks that represent ideal behaviors. The AI coach then compares observed behavior with these benchmarks and conducts a disparity analysis to determine necessary behavioral modifications, providing targeted recommendations.

Establishing Benchmarks Benchmarks reflect ideal behaviors, enabling progress tracking and discrepancy identification. Benchmarks can be derived through three methods:

• Manual Configuration: Training administrators define benchmarks by outlining desired behaviors for specific situations.
• Reference Benchmarks: Retorio offers pre-established benchmarks for various industries and roles, developed and maintained by behavioral scientists.
• Benchmark Users: Top performers are invited to participate in training initiatives, and their behaviors are analyzed to create data-driven benchmarks.

Measuring Impact and Delivering Actionable Insights AI coaching impact reporting models provide insights into user engagement and training effectiveness. These models combine content generation outcomes with behavioral intelligence to evaluate coaching initiatives. The results are integrated into dashboards that help decision-makers monitor the efficacy of coaching programs. Dashboards offer metrics such as:

• The number of users engaged and completion rates for individual coaching modules
• Learning effectiveness of coaching programs
• Business impact of coaching programs

By integrating with CRM or HRM systems, the platform can validate whether feedback results in actual performance improvement.

Key Advantages of Retorio's AI Coaching:

• Data-Driven Recommendations: AI coaches offer recommendations supported by video evidence.
• Impact Measurement: AI coaching quantifies behavioral changes and validates recommendations.
• Unbiased Recommendations: AI coaches focus solely on behavior, disregarding demographics.
• Data Privacy: Users have control over their data and can delete private information.
• Psychological Safety: The AI offers a safe environment for receiving feedback.
• Scalability and Democratized Access: Cloud-based AI coaching enables simultaneous coaching for many clients at low costs.

Statistics Retorio’s AI coaching models achieve high accuracy in describing and predicting behaviors: verbal and non-verbal accuracy both exceed 95%, while vocal accuracy is over 80%. Engagement rates are also high. Voluntary participation rates in AI coaching programs range from 75% (leadership training) to 93% (retail sales setting), with an average of six to twelve coaching sessions per user per quarter and recommendation rates of 80-91%. Participants' behavior improved by 2% with each AI coaching session. A large enterprise implemented Retorio’s AI coaching and within four months transitioned one out of five moderate performers into the top-performer category, resulting in an estimated 7% increase in additional revenue.

What are differences between Retorio and others?

1. Real-Time, In-Depth Feedback

During training sessions, Retorio offers real-time, in-context feedback, simulating the presence of a personal coach. As users engage with the material, the AI coach actively analyzes performance, providing immediate insights and recommendations, thereby enhancing the learning experience.

2. Video-Based AI Coaching

Retorio provides a video-based AI coaching platform that combines artificial intelligence with insights from modern behavioral research. This approach helps companies identify and drive winning behaviors across their organization.

3. Scientific Foundation

Founded at the Technical University of Munich and advanced at institutions like MIT and the University of Tokyo, Retorio leverages behavioral science and deep learning to deliver personalized coaching experiences that are scalable, unbiased, and psychologically safe.

In contrast, other AI coaching platforms may offer features like personalized guidance, real-time feedback, and scalability, but Retorio's emphasis on behavioral intelligence and its scientific foundation provide a distinctive edge in delivering effective coaching solutions.

Retorio AI Coaching VS LinkedIn AI Coaching:

How does Retorio’s AI coaching work?

Retorio uses AI to analyze users' behavior in video-based simulations. It evaluates facial expressions, tone of voice, and body language to provide personalized feedback on emotional intelligence and interpersonal skills.

What is an AI sales coaching platform and how can it benefit my sales team?

An AI sales coaching platform leverages machine learning and advanced analytics to monitor, analyze, and improve sales performance. It provides real-time feedback, customizes training paths, and scales personalized coaching across large teams. For example, Retorio uses deep behavioral intelligence to analyze both verbal and non-verbal cues during sales interactions, helping to refine techniques and drive better results.

How scalable is an AI coaching solution like Retorio for a global enterprise?

For large organizations, scalability is key. Retorio is designed to train thousands of employees simultaneously while maintaining consistency and quality across different regions and teams. Its enterprise-grade analytics enable L&D managers to monitor progress and measure the return on investment effectively.

What types of training modules does Retorio offer for sales teams?

Retorio provides immersive video simulations, AI-driven feedback, and personalized coaching paths that adapt to individual performance. This includes role-playing scenarios, real-time corrections, and comprehensive analytics that help sales teams practice and perfect their skills continuously.

Can Retorio integrate with our existing LMS or CRM systems?

Yes, integration is a priority for enterprise solutions. Retorio offers flexible API integrations that allow it to seamlessly connect with your existing learning management systems (LMS), customer relationship management (CRM) tools, and other enterprise software, ensuring a smooth implementation process.

What is the typical implementation process for deploying an AI coaching solution like Retorio?

The implementation process is designed to be smooth and minimally disruptive. It usually starts with an initial assessment, followed by a tailored onboarding process, pilot testing with a select group of users, and then a full-scale rollout. Retorio provides support at every stage to ensure your team adapts quickly and effectively.