
AI Assistant Development Services
Transform your processes and products with state-of-the-art AI assistants developed by LeverX professionals.



AI Assistants as a Business Empowerment Solution
At LeverX, we develop intelligent AI assistants that allow organizations to streamline operations, enhance decision-making, and deliver smarter customer experiences. Our team collaborates closely with you to define your vision of the future AI assistant, align this knowledge with our profound expertise and highest data governance standards, and choose the most suitable technologies. We implement AI solutions with precision, customizing each assistant to meet unique business needs and user expectations.
LeverX AI Assistant Development Services
Research and development
System architecture
Prompt engineering
AI workflow design
Assistant testing
AI integration
Frank Lozinski
Account Manager
Types of AI Assistants We Provide
AI voice assistants
AI chat assistants
Rule-based AI assistants
Task-oriented AI assistants
Domain-specific AI assistants
AI text and voice copilots
Custom AI assistants
Need a custom AI solution with unprecedented functionality? We are here to develop and seamlessly integrate unique AI assistants with personalized functionality and adaptability to your unique workflows, allowing businesses from different industries to boost productivity, streamline operations, and increase overall efficiency.
Key Business Challenges AI Assistants Solve
Delayed communication
Why LeverX?
Proven track record
40+ successful AI projects
Databricks partnership
Quality and security
Investment in innovation
Flexibility
AI Assistant Development Roadmap
- Current processes evaluation: Assess existing business processes and identify the organization's needs.
- Defining technical requirements: Create a detailed specification of the functional and technical needs for the new AI assistant.
Discover
- Setting goals and objectives: Establish and agree on the goals to be achieved throughout the project.
- Assembling the project team: Appoint team members and define their roles and responsibilities.
- Project plan development: Create a comprehensive plan that outlines project phases, timelines, resources, and key performance indicators.
- Budget determination: Estimate and approve the budget.
- Specifications preparation: Develop the technical and functional specifications for the development team.
Prepare
- Ensuring business requirements are met: Check that AI solution aligns with business requirements and project objectives.
- Data validation: Verify the accuracy and compliance of the data.
Explore
- Development: Start creating the AI assistant solution according to the plan.
- Customization: Develop additional features and modules if the initial solution does not meet all needs.
- Integrations: Configure the AI assistant to work smoothly with other systems and solutions.
Realize
- Testing: Perform functional, integration, regression, and load testing to ensure that all works correctly.
- User training: Organize sessions to help users become familiar with the new system.
Deploy
- System readiness check: Verify that the AI assistant is ready for operational use.
- Launch: Officially release the AI assistant to production.
- Ongoing support: Continuously monitor solution performance to identify and resolve any issues.
Run
FAQ
An AI assistant is an intelligent software tool powered by artificial intelligence that automates routine tasks, delivers information, and communicates with users via text or voice. Designed to boost efficiency, these assistants help optimize workflows and improve productivity across various industries.
Typical AI assistants leverage the following technologies:
- Natural Language Processing (NLP): Enables understanding of natural written queries and response generation.
- Machine Learning (ML): Improves the ability of AI assistants to adapt and evolve.
- Speech Recognition: Transforms speech into text for voice interactions.
- APIs and Databases: Retrieve data from third-party sources and execute related tasks.
- User Interface: Enables interaction via chatbots, voice assistants, and/or hybrid solutions.
The time needed to create an AI assistant depends on the project complexity:
- Basic AI assistants like FAQ chatbots usually take from 1 to 3 months.
- More complex AI assistants that are capable of task automation and custom workflows' execution take from 3 to 6 months.
- Advanced, sophisticated AI assistants, such as enterprise-level solutions with deep integration, can take from 6 to 12+ months.
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What happens next?
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1
An expert will reach out to you to discuss your specific migration needs and requirements.
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2
We'll sign an NDA to ensure any sensitive information is kept secure and confidential.
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3
We'll work with you to prepare a customized proposal based on the project's scope, timeline, and budget.
years of expertise
projects
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