Liorant helps organizations move from AI experimentation to fast and real operational use. We identify the right use case, structure your data, configure the right platform, and deploy a working AI application without a large custom development project.
Platform coverage:
Most organizations already have access to AI-capable tools. Teams use them to draft text, summarize documents, or generate ideas. But isolated use creates isolated value.
Rapid AI Activation is a focused implementation service that turns your existing platforms into working AI-powered business applications. Solutions connected to real workflows, real knowledge, and real teams.
We work with AI and automation platforms already present in most enterprise environments. Technology is selected based on the use case — prioritizing reliability, security, usability, and operational fit.
Every activation is designed so the first application becomes the foundation for everything that follows.
Our AI consulting engagements start with the business problem. Technology comes after.
Rapid AI Activation works especially well for processes that already happen every day, or several times a day.
Focused copilots that support teams with repetitive, information-heavy, and execution-focused work. We reduce time spent per interaction without changing the tools they already use.
Configured workflows that reduce manual effort in recurring operational processes — allowing teams to execute with greater consistency and less friction.
Natural-language assistants that surface company knowledge instantly — so teams stop searching across folders and channels and start getting direct, accurate answers.
Applications that automate visibility into operations. Generating summaries, identifying trends, and surfacing alerts so managers gain time rather than spend it on consolidation.
A structured process designed for speed without losing control. Each step produces something concrete.
We analyze current workflows to find where AI can create measurable operational impact. We focus on processes where teams spend significant time on repetitive tasks, information retrieval, document creation, or manual coordination. Then select the use case that is specific enough to implement quickly and valuable enough to justify broader adoption.
We select the platform that fits the use case and your existing environment — prioritizing tools the organization already uses. Microsoft 365 and Copilot Studio, Google Workspace and Gemini Enterprise, Claude, and workflow automation tools are all in scope. Technology follows the business problem, not the other way around.
We configure and deploy the first AI application in a controlled environment. Whether it is a copilot, internal assistant, automated workflow, or reporting process — the implementation is practical, testable, and connected to a real business process from day one.
We test the application with real users and refine the output, workflow, and experience based on actual usage. We document how the application works, how teams should use it, and how the organization should manage it. This gives teams the clarity they need to adopt it confidently.
After the first implementation, we help teams improve the application, monitor adoption, and identify where to expand next. This creates a clear, controlled path from the first activation to AI embedded across your operations without losing visibility along the way.
The first application is typically deployed and tested within a few weeks, depending on the complexity of the use case and the availability of the team’s time for testing and input. We design the engagement to be fast enough to validate value before internal momentum fades, but thorough enough to produce something that works in production.
No. Our rapid AI Activation is specifically designed to work inside platforms you already use. We configure and extend what is already there and we do not require migrating data, adopting new platforms, or replacing existing systems as a precondition for starting.
We analyze current workflows with the relevant team and identify where AI can create measurable operational impact within a realistic timeframe. We focus on processes that are recurring, rule-based, and information-intensive. The selection is guided by both operational impact and implementation feasibility.
We support the team through the adoption period, monitor how the application is being used, and refine it based on real usage patterns. We also help identify the next use case for expansion. The first activation is designed to produce both a working AI application and enough organizational learning to make the next implementation faster and more effective.
Yes. In fact, many of our clients come to us precisely because they have been experimenting with AI but have not yet connected it to real operational workflows. We help organizations move from informal, ad hoc AI use to structured AI applications that are part of how work actually gets done.
Teams already use Microsoft 365, Google Workspace, or similar platforms and have AI licenses they are not yet fully using.
Leadership wants to validate AI’s business impact before committing to a larger, longer custom development project.
Company knowledge is spread across documents, folders, emails, and internal tools — and teams waste time searching for it.
Employees spend meaningful time on repetitive tasks that follow a consistent pattern, a strong signal that AI can automate or assist.
Schedule a focused call with the Liorant team. We will identify where AI can create measurable value in your workflows.
© 2026 All rights reserved