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Context-Aware AI for Precise, Personalized Responses

Alan AI dynamically leverages multiple layers of context—application state, user context, GUI, and ongoing dialog history—to generate smarter, more personalized responses. By embedding the Agentic Interface directly into your app’s front end, Alan AI understands exactly where the user is, what they’re trying to do, and what data they’re interacting with—enabling responses that are not just intelligent, but situationally accurate.

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Leverage the app’s visuals

Alan AI literally translates on-screen data into meaningful context. Enable your Agentic Interface to respond in ways that exactly match the visuals of your app, thereby increasing user satisfaction.

Grasp the user’s context

Alan AI comprehends the user context, including aspects such as location and time. There's no need to provide extra information as your Agentic Interface's responses are always consistent, relevant and helpful.

Tap into industry AI expertise

Alan AI's models are fine-tuned to comprehend and generate content specific to your industry and domain. They receive extensive training to offer accurate responses in your business, whether healthcare, financial or legal.

Keep the conversation going

Chatbots often lack continuity, unable to recall previous dialogs or preferences. Alan AI retains the context of the conversation and incorporates knowledge from earlier interactions into its responses.

Context awareness:
Alan AI difference

Enhanced 
understanding

Contextual understanding enhances clarity and minimizes the risk of misinterpretation and errors.

Personalized
responses

Alan AI responses are adapted to meet the particular requirements and preferences of specific users.

Continuity of interaction

Alan AI maintains context throughout a conversation, ensuring seamless and coherent interactions.

Minimal human
intervention

Context-aware AI reduces the need for frequent human intervention, resulting in operational cost 
savings.

Handling complexity

Alan AI can manage tasks and workflows of any complexity, making it versatile for various use cases.

Continuous learning

AI agents built with Alan AI learn from past interactions with users, improving response accuracy over time.

Testimonials

The Alan Al Studio is so innovative that we are amazed by the developer-friendly tools and how easy it is to train the Agentic Interface. We tried several different Al technologies in the market, however, we found Alan Al to be the best among them. They are not only the best technology provider but also have a dedicated team, including customer success engineers, to help the Al be integrated successfully into the app. It was a great pleasure to be able to explore their solution, we would like to collaborate with them in the future on other projects.

Nazat Chowdhury

Save the Children

MediKarma is a first-of-a-kind wellness app that uses AI to guide its users through their customized wellness journey created from thousands of data points in their EHR and smart wearables. For MediKarma, Alan AI is not only an easy-to-use Agentic Interface, but it is also THE voice extension of our very own JILL, an artificial intelligence Avatar guiding each MediKarma user through his/her unique wellness journey. As such, we needed a precise platform, but most importantly, a flexible, dynamic, and scalable one… all elements that made Alan AI the perfect partner!

Kris Narayan

Medikarma

Onshore operators can now work with improved effectiveness and safety in the field with their touchless mobile applications. Intelligent Agentic Interface have simplified onboarding of our new operators and continues to strengthen the safety culture and enhance our operational effectiveness.

Rajesh Satewar

Murphy Oil Corp

It was amazingly simple to use the Alan AI Platform to create and deploy an intelligent Agentic Interface for our app. After deployment we were able to rapidly iterate on the Agentic Interface without having to update the app.

Axel Schoth

OrgaTech

With Alan, we were able to create an intelligent Agentic Interface for the Murphy Oil app and go live in just one week, now a finalist for the SAP Innovation Award. We chose Alan because the platform let us integrate voice directly into the app’s UI workflows and handles industry domain language accurately. No other technology on the market addresses this.

Ritesh Menon

Incture Technologies

I was able to add the business logic for the app and build a demo within a few days. There’s no way I would’ve been as quick and effective in creating an Agentic Interface with Alexa. I love the Alan AI Studio IDE and being able to push to production with just a button click.

Alon Raskin

Utegration

Alan AI Blog

The Personalized Generative AI Imperative

Read article

Using the App Context in the Dialog

Watch video
9 min

Learn how to leverage the app context for your Agentic Interface

View the docs

Superhuman Capability
For Your Apps With
Adaptive App AI

Deploy self-coding capabilities to your app today.

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