Onno Plus Scales Review Management with AI-Powered CRM, Achieving 3X Sales Growth

Onno Plus needed to rapidly scale its operations while managing an increasing volume of leads, clients, reviews, and legal workflows across multiple platforms. Their existing systems were fragmented, with sales, support, and operations relying on separate tools that didn’t communicate effectively.

This made it difficult to track performance, automate processes, and scale efficiently. The company required a single, extensible platform that could unify teams, automate repetitive work, and support continued growth without operational bottlenecks.

Lexis Solutions built an AI-first CRM platform that automated key workflows across sales, account management, and legal operations. AI-powered tools analyze review data, assist lawyers in generating review removal requests, and leverage historical case data to improve accuracy and speed. Automated review scraping continuously feeds structured data into the system, enabling smarter prioritization and faster decision-making.

Developed from scratch, the platform embeds AI directly into daily workflows rather than treating it as an add-on. Combined with custom data pipelines and real-time integrations, this approach significantly reduced manual effort and allowed Onno Plus to scale operations efficiently while maintaining consistency and control.

We built a custom CRM that unified sales, support, account management, and legal workflows into a single system. Sales representatives could manage leads, generate offers, assign follow-up tasks, and track deal progress, while account managers handled clients, orders, and review removal processes. This eliminated data silos and gave management full visibility into performance across teams.

The platform integrates with key external services such as email, calling systems, maps, and review platforms. Automated daily scraping collects new reviews from sources like Google, Trustpilot, and Kununu, while workflows trigger follow-ups, reminders, and status updates automatically. These automations significantly reduced manual work and ensured no lead or review was missed.

An AI-based tool was developed to assist lawyers in generating review removal complaints. Using OpenAI models enriched with historical data and prior removal cases, the system accelerates document preparation while maintaining consistency and quality. This reduced turnaround time and allowed legal teams to handle a higher volume of cases efficiently.