Generative AI is most effective when applied to workflows that involve large volumes of content, documentation, or decision support.
Automatically generate proposals, reports, emails, and internal documentation based on structured inputs.
For example, commercial teams can produce tailored proposals in minutes instead of hours, or operations teams can automate recurring reporting.
Process large volumes of unstructured information and convert them into structured insights.
This includes summarizing documents, extracting key points from meetings, analyzing customer feedback, or generating executive summaries.
Develop assistants tailored to specific roles (sales, operations, support) that help answer questions, generate content, or assist with daily tasks.
These assistants can be connected to internal systems and act as a continuous support layer for the team.
Enable users to interact with internal systems using natural language.
Instead of navigating multiple tools or writing queries, teams can ask questions and receive direct answers based on internal data.
We apply generative AI to automate knowledge-based work, improve team productivity, and create new capabilities across the organization.
Automate content-heavy and repetitive tasks
Generate and analyze information at scale
Build internal assistants tailored to business functions
Our team works alongside yours to turn AI goals into reality and share the knowledge your teams need for long-term success.
We focus on bringing generative AI into real business workflows.
We analyze processes and identify where generative AI can create measurable impact
We check your data resources and provide a detailed report on data quality.
We select opportunities based on value and feasibility
We build a functional first version in a controlled environment
We connect the solution with existing systems and workflows
We improve performance and expand scope based on results
Technology Stack
We work with modern generative AI models and integrate them into the client’s existing architecture.
Large Language Models (LLMs) for content generation and analysis
Flexible deployment across cloud, on-premise, and hybrid environments.
API and MCP-based integrations with internal systems (CRM, databases, tools)
Workflow orchestration to automate multi-step processes
We build and deploy Enterprise AI solutions using powerful no-code platforms.
Security and control mechanisms to ensure proper data handling
Generative AI is not a standalone tool, but a layer that can transform how work is executed across multiple areas of the business.
At Liorant, we focus on identifying and implementing concrete use cases where this technology delivers real impact.
If you are exploring how to apply generative AI in your organization, we can help you move from ideas to execution.
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