kama RPA

Real Human-Centred Intelligence

WHAT DOES KAMA RPA DO?

Human-centred intelligence for your process automation…

Make every customer journey more engaging by adding a value-driven conversational layer. kama RPA extends kama DEI’s curated, emotional user interaction and certain use cases to your Robotic Process Automation (RPA) applications. While convenient access to product and service information is supported with our kama FAQ, kama RPA detects certain inquiries as those that have specific RPA bot functions, conveniently engaging those bots to perform their specific function within a single, seamless user chat experience.

Roll out conversational information delivery as part of your initial AI journey, then add in service automation with your best-of-breed RPA toolsets, all with your customer’s values as the centre of the interaction.

Imagine what an emotionally and contextually aware client interface can do for your employees and clients. Maximize your customer satisfaction and loyalty scores by bringing a human touch to your enterprise’s conversational automation goals with kama DEI’s combined FAQ and RPA capabilities.

Grow Your Business With kama.ai

KAMA DEI

With kama DEI

✔ Design

Create Personas with the key product, service, corporate, social, and ethical values mapped to individual customers and historical data sources. Design empathetic and trusted interactions.

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✔ Experiential

Live, natural, automated interactions with either text or voice assistants. Your SMEs design and curate conversations to deliver accurate, governed, and truthful information to improve customer experiences and conversation flows

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✔ Intelligence

Conversation logs give SMEs or marketers insight into evolving personal client journeys. This insight allows you to improve your customer journeys and overall experience. Service interactions are easily adapted and grown without costly and specialized resources with our human-in-the-loop rapid training method.

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Splash art of a neural network

Without kama DEI

Design 𐄂

Inference created from historical big data sources and model training or tree-structure AI designs. Personalization limited due to the simplicity of data models or decision tree approaches.

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Experiential 𐄂

Responses are limited and accuracy to customer inquiries may be questionable. Interaction often proves to be shallow, frustrating, and lacking empathy.

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Intelligence 𐄂

Learning requires large data sets that may not always be available. Model training can consume many resources, increasing project costs and slowing time-to-market for improving customer experiences.

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Speak to an Expert

Call 1-855-824-4716 or fill out our web form to have an expert contact you.