How Lilidi AI Created an Automated Employee for Web Visitors

Tetiana Stepanets understood the operational realities of running a digital business long before starting an artificial intelligence studio. Before founding Lilidi AI, she built and sold a direct-to-consumer brand on Amazon completely bootstrapped, operating without any outside funds or venture investors. That practical experience highlighted the heavy burden small teams face when attempting to respond to prospective customers across different time zones. When she shifted her focus to generative software, she aimed to solve the operational bottlenecks that hinder growing companies. Her background as a bootstrapped founder shaped her approach to product design, emphasizing transparent pricing and immediate practical utility for lean teams.

Lilidi AI originally launched as a generative AI studio created to offer access to multiple flagship artificial intelligence models within a single platform. Built by a two-person team in just five months, the studio provided access to more than twenty-three models through one interface without lock-in or hidden routing fees. The platform later expanded its scope with the release of Lilidi Twin, an automated digital worker created to handle customer interaction across sales, customer support, and calendar bookings. The venture has gained further momentum after being selected to join the Google for Startups Cloud Program, unlocking technical support and cloud infrastructure.

The Lilidi Twin system engages website visitors directly through video, voice, or text interfaces inside a browser window. Designed to deliver rapid response times, the digital representative answers inquiries in under three seconds while providing round-the-clock availability in over thirty languages. The system operates strictly within approved knowledge boundaries, relying exclusively on company websites, uploaded documents, and preset business rules. Crucially, the software clearly informs visitors that they are speaking with an artificial intelligence assistant. Whenever a visitor brings up complaints, refund requests, or other sensitive matters, the twin automatically escalates the discussion to a human team member.

Beyond managing standard customer support inquiries, the digital employee actively assists with daily revenue and scheduling workflows. It conducts preliminary lead qualification by asking tailored questions, presents available time slots, and books appointments directly into Calendly or Google Calendar. Following every interaction, the system drafts automated follow-up messages for human review and approval prior to dispatch. Users can also invite the digital representative directly into live video conferences by pasting a link for Zoom, Google Meet, or Microsoft Teams. Businesses in sectors ranging from healthcare and education to retail and web development use these capabilities to capture inquiries continuously.

The software model prioritises accessibility for small businesses through a flexible tier structure that includes sixty free video minutes every month. This approach allows smaller operations to test automated lead qualification without committing financial resources upfront. By ensuring responses are strictly grounded in user-verified documentation, the platform minimises errors while maintaining high operational consistency for modern web properties. As the company prepares for its presentation at Web Summit 2026, Stepanets continues to build out features that assist lean businesses with automated customer communication.

Find out more at lilidi.ai